Showing results for "change-detection"
Create a policy and technical blueprint for exams in which AI-assisted responses can be detected and managed without compromising privacy. Outline assessment design changes, intervention strategies, i...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Explain how a government could leverage high-resolution satellite imagery and related remote-sensing data to monitor urban expansion, land-use change, and critical infrastructure. Compare governance m...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
In a parliamentary system with multiple parties, analyze how changes in party strength—such as splits, realignments, or formation of coalitions—alter legislative arithmetic, policy bargaining, and gov...
Author: Curioprompt
Category: Politics | Model: gpt-5-nano
Develop and critique frameworks for transparent disclosure, verification, and accountability when AI tools participate in news production or distribution, including standards for source attribution, b...
Author: Curioprompt
Category: Society | Model: gpt-5-nano
Create a comparative analysis of AI adoption in hiring, customer service, and financial services, focusing on how AI changes job discovery, screening integrity, and skill needs. Propose governance saf...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Investigate the dynamics of black-market semiconductor components, the role of public-private partnerships in detection and enforcement, and strategies for resilient supply chains including traceabili...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Analyze the transmission mechanisms by which central bank policy rate changes influence inflation, output, credit conditions, and asset prices in an emerging economy. Compare the roles of the interest...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Assess how climate variability, notably El Niño-like phenomena, disrupts rainfall, water resources, agriculture, and energy systems. Build a multi-sector resilience plan that includes water management...
Author: Curioprompt
Category: Science | Model: gpt-5-nano
Evaluate the potential effects of capital gains tax changes on innovative technology sectors, including venture funding, R&D intensity, and market vitality. Compare tax design options (abatements, exe...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Analyze how a country structures talent identification, coaching succession, and replacement planning for elite sports teams, and how these choices reflect broader patterns in governance, resource all...
Author: Curioprompt
Category: Sports | Model: gpt-5-nano
Analyze how large urban Pride celebrations function as ongoing venues where LGBTQ communities press for legal protections, where media narratives shape public perceptions, and where city governance, c...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
Assess how rising temperatures and changing rainfall affect urban and rural exposure to heat-related illness, water availability, and critical infrastructure resilience. Compare adaptation strategies ...
Author: CurioPrompt
Category: Science | Model: gpt-5-nano
Develop a framework for planning, governance, risk management, stakeholder communication, and incremental delivery in large IT projects, with metrics to detect warning signs early.
Author: CurioPrompt
Category: Technology | Model: gpt-5-nano
Analyze how public LGBTQ visibility events can influence long-term policy direction, social attitudes, and corporate inclusion in a modern democracy. Compare at least two other democracies to identify...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
Compare how different leadership succession rules within political parties affect policy continuity, crisis response, and public trust during times of national stress. Evaluate mechanisms such as acce...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
Analyze how a policy change aimed at suppressing informal, unregistered micro-retailers alters incentives for formal registration, compliance costs, consumer protection, and worker livelihoods in urba...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Explore how youth attitudes toward relationships, gender identity, and authenticity challenge traditional social structures, and propose frameworks for inclusive education, media representation, and p...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
Investigate how tax and regulatory changes aimed at attracting foreign investment into government bonds affect revenue, debt sustainability, and capital-flow volatility. Analyze trade-offs between fis...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Analyze the mechanisms by which public Pride-style events, media narratives, and corporate sponsorship influence successive policy changes related to civil rights, education, and urban planning. Compa...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
Design a study of household and business resilience to sustained energy price volatility. Include changes in labor flexibility, travel patterns, gig economy participation, and investment in efficiency...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
You are an expert **Cybersecurity Threat Intelligence Analyst** specializing in **Advanced Persistent Threat (APT) Group Attribution and TTP Analysis**. Your task is to analyze the provided raw threat...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are a highly specialized AI Consultant and Expert Analyst focused exclusively on the Turkish Textile, Apparel, and broader Manufacturing Sector. Your expertise must integrate deep knowledge of Tur...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Design a driver stability approach: pin known-good versions, test changes, keep notes, and roll back if issues appear. Provide a simple tracking template.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design an agent that updates docs alongside code changes: API docs, READMEs, and changelogs. Include a doc quality checklist and link validation.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an artifact ledger storing RFCs, diffs, test reports, benchmarks, deploy logs, and citations. Include retention policy and query patterns for audits.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that updates runbooks based on incidents and recurring questions. Include change review, versioning, and a “proof of usefulness” metric.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan for improving logs: structured fields, sampling, PII redaction, and correlation IDs. Require that changes do not reduce incident investigability.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that checks API changes for backward compatibility: OpenAPI/JSON schema diffs, deprecation policy, versioning, and migration notes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design characterization tests for legacy code before refactoring: capture I/O behavior, edge cases, and performance baselines. Use them as a gate for changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a process where the agent checks a proposed change against official documentation versions, release notes, and migration guides. Require citations for claims.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a patch strategy that prefers minimal diffs: isolate behavior changes, avoid formatting churn, and include clear intent comments. Add a “diff size budget.”
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design UI improvements for reviewing AI-made diffs: risk highlighting, test evidence, and “what changed semantically.” Include A/B testing plan for reviewer speed/accuracy.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design improvements to internal developer tools: faster local setup, better error messages, and templates. Use surveys + telemetry to prioritize changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a data quality gate: schema, drift detection, missingness, and label quality checks. Integrate with self-improving code changes to ML pipelines safely.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a blueprint for self-editing CI/CD scripts safely: validate configs, run in sandbox, and require manual approval for permission changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an ADR generator that proposes ADRs for significant changes: context, decision, alternatives, consequences. Require human approval and link tests/metrics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create criteria for refusing changes: ambiguous requirements, missing tests, high risk without approval, or insufficient evidence. Include user messaging templates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a schedule for the research agent to pull release notes, CVEs, and docs updates, summarize changes, and propose actionable backlog items with citations.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that ingests postmortems and incident tickets, extracts recurring causes, and proposes preventative code/monitoring changes. Require human review.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an improvement loop keyed to SLOs: latency, error rates, and quality metrics. Require that proposed changes specify which SLO they target and how measured.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a workflow to propose UX copy changes, test via A/B, and ensure no dark patterns. Include an ethics checklist and rollback criteria.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an accessibility agent that runs audits (linting, contrast checks where applicable), proposes fixes, and validates with automated tests. Require human review for UX changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that writes tests before code changes, targets uncovered branches, and proves coverage deltas. Include mutation testing as a safety check.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a monorepo-focused self-editor: dependency-aware builds, targeted tests, ownership routing, and change batching. Include safeguards against large blast radius.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that scans logs/events for accidental PII collection and proposes fixes (redaction, schema changes). Include alerting and retention rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a confidence scoring model for proposed changes based on tests passed, diff risk, code area criticality, and evidence quality. Use it to decide automation level.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a strict policy for edits to auth code: mandatory human review, extra tests, formal checks, and staged rollout. Include “never auto-merge auth changes.”
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a research agent that uses search APIs and page fetchers to gather evidence for a proposed code change. Require citations and source quality scoring.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a configuration validation layer: schema checks, safe defaults, and environment-specific constraints. Include rollback strategy and change approvals for risky config.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design governance for self-improving systems: approval rules, quarterly audits, access reviews, and incident drills. Include “who can change the agent” controls.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a health coaching product focused on habit change (not medical diagnosis). Include UX, disclaimers, safety boundaries, and monetization (subscriptions, employer plans).
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a policy for change budgets: cap number/size of automated PRs per day, prioritize highest impact, and avoid overwhelming reviewers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a literature scout product: topic watchlists, daily digests, novelty detection, and gap identification. Include target users and monetization (individual vs lab vs enterprise).
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a plan to reduce permissions across services: narrow IAM roles, remove unused keys, and add tests that detect overbroad permissions. Require staged rollout.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define an RFC template the agent must fill: motivation, risks, alternatives, test plan, rollout plan, and monitoring. Require linking evidence and metrics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define guardrails that block large architectural changes unless an explicit human-approved RFC exists. Include heuristics to detect “too big” diffs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design explicit stop rules: max iterations, max diff size, max retries, and “ask human” triggers. Include monitoring for loop detection and runaway behavior.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a consensus mechanism for risky changes: verifier override, structured voting, and escalation to human. Include disagreement logs and rationale storage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a refactoring agent that only changes code when it can show measurable gains (latency, memory, error rate). Include baseline capture and regression detection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Propose products/services for governments/NGOs using AGI abundance: service delivery, translation, planning, fraud detection. Include procurement-friendly packaging and safeguards.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a formatting agent that guarantees no semantic change: parse/print equivalence, tests, and diff classification. Include a strict policy for format-only PRs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a semantic diff summarizer: describe functional change, impacted modules, migration needs, and risks. Require it to cite tests/benchmarks that support claims.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a dependency graph indexer and an impact analyzer that estimates blast radius of a change and picks appropriate test suites and reviewers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a loop to detect memory leaks: reproduce with stress tests, capture heap snapshots, propose fix, and verify stability. Include regression tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a system where the agent detects recurring insecure patterns and generates internal training snippets and secure alternatives, linked to real PR examples.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an internal code search agent: symbol indexing, call graphs, and test mapping to propose the smallest correct edit surface. Include caching and explainability.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan to tighten interfaces with types, schemas, and validation at boundaries. Require gradual rollout and tests demonstrating improved error detection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that detects stale docs by comparing code/API schemas vs docs, then opens issues or PRs. Include a freshness score and SLA.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a rule-based + learned risk classifier for diffs: file types, touched modules, dependency impact, and security sensitivity. Use it to decide required gates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a plan to self-improve ranking/retrieval safely: offline eval sets, interleaving/AB tests, bias checks, and rollback on metric drops.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a threat-modeling step: identify assets, attackers, and abuse cases for each PR. Include automated checks and a human escalation threshold.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a platform that matches brands with micro-influencers, automates briefs, and measures ROI. Include fraud detection, contracts, and revenue model.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a two-person approval rule for high-risk areas (auth, payments, prod config). Include automated detection of risky diffs and enforcement.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Generate product ideas around water scarcity: detection, reuse, filtration, industrial optimization. Include deployment paths and go-to-market for municipalities vs industry.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a cybersecurity assistant product: triage, detection explanations, playbooks, and reporting. Include safe deployment architecture and pricing by org size.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a sandbox spec: network isolation, filesystem constraints, resource limits, and safe temp dirs. Include how MCP tool wrappers enforce the sandbox.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define error budgets and a policy: when error budget is low, block auto-deploys and require human approval. Include dashboards and alert thresholds.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design retrieval that avoids irrelevant context: recency weighting, scope filters, and contradiction detection. Include evals for context precision/recall.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent to tune caches: TTLs, invalidation, and hit rates. Require correctness proofs, stale data detection, and rollback thresholds.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design golden tests for key outputs and an agent that compares before/after behavior. Include tolerance rules and how to prevent “golden drift” over time.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a weekly meeting agenda focused on safety and reliability: review dashboards, incidents, near-misses, red-team findings, and upcoming risky changes. Include decision outputs and owners.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create an incident response plan specific to AI: detection, containment, user comms, rollback, forensic logging, and post-incident retraining rules. Include severity levels and example incidents.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design methods to evaluate long-horizon tasks: checkpoints, intermediate artifacts, verifier models, and human spot checks. Include metrics that detect slow drift or hidden degradation.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Draft a policy for paywalled/restricted content: detect paywalls, avoid bypass, rely on accessible sources, and suggest user-provided excerpts when needed. Include user messaging guidelines.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a testing strategy: unit tests for extractors, integration tests for API calls (mocked), and golden report tests to detect synthesis drift. Include CI gating rules.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a content extraction module: boilerplate removal, main-content detection, metadata extraction (title/author/date), and language detection. Include fallback strategies for messy pages.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a policy and technical controls for PII/secrets: detection, redaction, encryption, and safe storage. Include test cases and a plan to prevent secret leakage into training/evals.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Build a risk register for recursive AI improvement: failure modes, likelihood/impact, detection signals, mitigations, and owners. Include a template and an example filled out for an LLM toolchain.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Define monitoring signals: policy violations, anomaly detection, tool misuse attempts, unusual output distributions, and drift. Provide alert thresholds, runbooks, and an on-call playbook.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design PII handling: detection, redaction, retention limits, and access controls. Include how to avoid collecting unnecessary personal data and how to respond to removal requests.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a bias-control policy: require diverse sources (geography, institution, viewpoint), detect monocultures, and add “missing perspective” prompts. Include reporting in outputs.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design cross-language research: translate queries, search in multiple languages, normalize entities, and merge evidence. Include how to detect mistranslations and preserve proper nouns.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Write explicit requirements to prevent deceptive behavior: transparency rules, auditability, and logging. Include tests to detect hidden policy violations or manipulation attempts.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design incremental crawling: store ETags/Last-Modified, compute diffs, and update indexes incrementally. Include pitfalls and how to handle missing headers.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a freshness strategy for research: recency-aware search, change detection, and update alerts. Include how to present “as of” dates and avoid outdated claims.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create an RFC-style change control process tailored to recursive AI: what must be documented, reviewers, rollout plan, rollback triggers, and postmortem requirements. Provide a reusable RFC template.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Plan an alert system: define watchlists, schedule searches, diff results, and send notifications. Include dedupe, false positive controls, and ‘significance’ scoring.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a safe loop where the AI proposes code changes: unit tests, static analysis, security scans, human review, and staged deployments. Include stop rules and rollback plans.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design content versioning: snapshots, change logs, and references to “as of” dates for citations. Include retention and storage cost considerations.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design safe A/B testing for AI changes: guardrails, user segmentation, sensitive cohorts, and safe metrics. Include ethics considerations and how to interpret ambiguous outcomes.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a compliance workflow: policy mapping, data handling rules, documentation, audits, and change impacts. Keep it general (not legal advice) and focused on operational safety.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design drift detection: changes in user queries, outcome distributions, error types, and model behavior. Include thresholds and a playbook for when drift is detected.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Plan how to use sitemaps and RSS/Atom feeds to discover content efficiently. Include scheduling, change detection, and fallback to crawl when feeds are missing.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Show me how to verify policy or regulatory claims by finding official text, amendments, effective dates, and authoritative summaries. Include a workflow and checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create an FMEA for a custom car, motorcycle, or bicycle modification. Include failure modes, severity, occurrence, detection, mitigation, and validation tests.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Design an error handling approach: ECC/parity, timeout detection, error registers, interrupt strategy, and safe recovery states. Provide a taxonomy of errors and verification scenarios.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Explain hiring differences: interview expectations, compensation norms, notice periods, and onboarding. Provide a hiring scorecard and a structured interview plan.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Give me a guide to detecting SEO spam: templated prose, missing authorship, affiliate bias, scraped content, and suspicious interlinking. Provide quick heuristics.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to detect circular reporting where outlets cite each other. Provide steps to identify the earliest source and whether it’s primary evidence.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a data logging plan for performance diagnosis: what channels to log, sampling rate, test conditions, annotation method, and how to compare before/after changes.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Explain risks and benefits of splitting travelers across bookings: seats, changes, disruptions, and re-accommodation. Provide a safe guideline for families and groups.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Compare booking through online travel agencies vs direct with operators: support, changes, refunds, and reliability. Provide a decision rule and ‘when not to use an OTA’.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain Basic Economy pitfalls: seat assignment, boarding group, baggage, and changes. Provide a pre-purchase checklist to avoid unpleasant surprises.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain practical aerodynamics for cars, motorcycles, and bicycles: drag, lift/downforce, rider/driver position, fairings, spoilers, underbody, and when aero changes are meaningful.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an airport strategy for complex itineraries: security timing, lounge use, terminal changes, baggage recheck, immigration, and recovery plans for missed connections.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a governance workflow for agent updates: RFC template, reviewer roles, approval gates, and post-deploy validation. Include change logs and accountability.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a project execution playbook: objectives, milestones, owners, risk log, weekly check-ins, and change control. Provide a template that works for any region.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Write an image-editing prompt set for Nano Banana / Gemini 3: remove distractions, fix lighting, unify background, add subtle shadow, and produce 3 marketplace-ready aspect ratios. Include a QC checkl...
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create a ticket-buying strategy based on my priorities (lowest price, shortest time, flexible changes, best seats, minimal transfers). Output a decision tree for bus/air/train across Asia, Europe, and...
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Teach me how to track changes over time: page versions, archived copies, release notes, and timestamps. Provide a “change log” note template.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design a training plan to detect TOEFL listening traps (paraphrase, partial match, extreme words, speaker attitude confusion). Include a weekly mini-test format and an error log template.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Design a ‘Rumor Control’ process: detect, label, verify, publish correction, and monitor spread. Include a standard taxonomy (misleading, unverified, false, satire) and a response playbook for TV/radi...
Author: Assistant
Category: verification | Model: gpt-4o
Create an X-prop strategy: when to use X-optimism vs pessimism, initialization, and how to avoid hiding bugs. Provide simulation flags guidance and SVA patterns to detect X-leaks.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a checklist for schedule changes: evaluate new itinerary, connection risk, refund/rebook options, and documenting communications. Include mode-specific notes for air/rail/bus.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a strategy for uncertain dates: flexible fares, refundable options, use of holds, and booking split segments. Provide a playbook to reduce penalty exposure.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain what genuine expert consensus looks like and how to detect fake consensus. Include practical ways to check position statements and reviews without overtrusting single sources.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create an ECU tuning risk review: fuel, ignition, boost, knock detection, temperatures, emissions/legal considerations, and validation steps. Keep it safety- and compliance-focused.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a red-flag checklist for ticket terms: non-refundable traps, no-show penalties, name change impossibility, and agent fees. Provide a quick ‘read this first’ list.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain common fare types (basic/economy/flexible/refundable) for air and rail, plus bus ticket rules. Provide a simple calculator-style method to compare expected cost including change/cancel risk.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Teach me to identify sponsorships, affiliate incentives, and conflicts of interest. Provide a checklist and examples of disclosure language to watch for.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a cross-language verification method: search in original language + English, compare local vs international coverage, and detect translation drift. Include a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain dynamic pricing drivers: demand, inventory, competition, holidays, and schedule changes. Provide a calm strategy to respond: alerts, thresholds, and ‘buy when’ rules.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Design a banking scheme: address mapping, interleaving, conflict detection, and scheduling. Include a proof argument for worst-case bandwidth and a microbenchmark plan to validate.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Explain what to check for refunds/credits: airline policy, rail operator terms, bus provider rules, and payment protections. Provide a checklist and email template for requesting a refund politely.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a watchlist workflow for public companies: earnings calendar, SEC/EDINET-style filings, leadership changes, litigation, and product launches. Provide automation-friendly query patterns and a we...
Author: Assistant
Category: collection | Model: gpt-4o
Explain what signals can suggest AI-generated text/audio/images, and the limits of detection. Provide a cautious approach: what to conclude and what not to conclude.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain how to balance recency and reliability. Create a decision framework for when older sources are better (textbooks, standards) vs when fresh updates matter (outages, policy changes).
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a checklist for installing and calibrating sensors: placement, wiring, shielding, grounding, plausibility checks, data logging, and failure detection.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Design a safe self-improvement loop for prompts/tools: propose change, run evals, red-team, canary, deploy, monitor. Include stop rules and audit artifacts.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Produce a deep dive on one company or theme: business model, KPIs, competitive position, key risks, and upcoming catalysts. Provide a ‘what would change my mind’ section and source list guidelines.
Author: Assistant
Category: analysis | Model: gpt-4o
Create a major train station strategy: platform changes, ticket validation, luggage storage, food, station hotels, and transfer timing. Include advice for Europe, Asia, and North America.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a suspension upgrade decision framework: springs, dampers, bushings, anti-roll bars, fork/shock upgrades, and geometry changes. Include street, touring, track, and off-road priorities.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a high-level checklist for modification legality and inspection readiness: lighting, emissions, noise, structural changes, insurance disclosure, and documentation. Keep it non-legal-advice and ...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
For any event, generate 8 story frames: human impact, money, power, systems, innovation, conflict, solutions, and ‘what changes tomorrow’. Provide suggested sources and data to support each frame.
Author: Assistant
Category: production | Model: gpt-4o
Design a post-publish loop: monitor new facts, track corrections, update timestamps, and communicate changes across platforms. Include a correction template and an internal audit trail.
Author: Assistant
Category: news-ops | Model: gpt-4o
Create maintenance routines by instrument family: string changes, woodwind pad care, brass valve care, drum head tuning, and piano basic care. Include schedules and warning signs for professional serv...
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Provide a Europe bus ticket strategy: cross-border timing, luggage, station logistics, and refund/change rules. Include a checklist for overnight routes and border crossing buffers.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a checklist to avoid name/ID issues: middle names, diacritics, passport changes, and local rail/bus ID requirements. Include a quick ‘before purchase’ verification step.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Write message templates to request refunds/credits politely for flights/trains/buses, including: cancellation, schedule change, and service disruption. Provide concise and firm tone variants.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Propose a golden model approach: bit-exact C/Python model vs tolerance-based checking, when each is appropriate, and how to keep models consistent with RTL changes. Include sync strategy and versionin...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a gig prep checklist: set list flow, patch changes, backups, stage layout, soundcheck notes, and contingency plans. Include a ‘day-of’ schedule and post-gig review prompts.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Create a group booking strategy: seat adjacency, fare consistency, split payments, and change management. Include bus/rail group policies and when to book together vs separately.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a connection risk guide: minimum connection times, terminal changes, buffer rules, and what to do if a connection is missed. Provide different guidance for USA/Europe/Asia hubs.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a post-trip debrief template: what worked, what failed, best value splurges, budget leaks, route improvements, and gear changes. Output a reusable checklist.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Provide a non-alarmist preparedness checklist for conflict-related disruptions: supply interruptions, travel changes, and information reliability. Focus on calm planning and official advisories.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Explain when elite status is worth it: bag fees, seat selection, lounge, changes, and priority support. Provide a simple value model using my annual trip profile.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Design a safe rollout process: canary cohorts, metrics, stop conditions, and rollback. Include how to isolate changes (prompt vs tool vs retrieval) for attribution.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a business-travel booking plan: compliance with policy, maximizing flexibility, and minimizing total cost (including change risk). Provide templates for documenting justification.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a simple decision guide for when to stay put vs relocate based on official guidance and local conditions. Include a checklist for safe departure and what to do if plans change.
Author: Assistant
Category: preparedness | Model: gpt-4o
Create an ADAS calibration awareness checklist: camera/radar sensor placement, windshield replacement, alignment impact, ride height changes, and when specialist calibration is required.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Provide a framework to deliver quality under time constraints: define ‘good enough’, protect the critical path, and communicate tradeoffs. Include a template for asking for scope changes.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Create an eval-first LLMOps design: golden sets, adversarial tests, continuous regression, cost/latency tracking, and release gates. Include a ‘model change control’ policy.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Create a respectful plan for a surprise visit: consent check via trusted contact, timing, backup plan, and a message if plans change. Include boundaries guidance.
Author: Assistant
Category: relationship-planning | Model: gpt-4o
Create a 45-second narrative with 3 characters (employee, IT, attacker POV abstracted) showing phishing, detection, and remediation. Provide safe depiction (no actionable harm), UI overlays, and scene...
Author: Assistant
Category: narrative-short | Model: gpt-4o
Produce prompts for a 10-minute ambient cloudscape: slow parallax, gentle gradient sky, no abrupt changes. Provide loop points and compression tips.
Author: Assistant
Category: ambient-video | Model: gpt-4o
Map how the CEO role should change from seed to scale.
Author: Assistant
Category: scaling | Model: gpt-4o
Implement basic query parsing: tokenization, phrase detection, and entity hints. Evaluate on provided queries and report precision/recall.
Author: Assistant
Category: coding-assignment-IR | Model: gpt-4o
Explain how wind/rain/snow change play calls and kicking. Provide thresholds, past comps, and a gameday equipment checklist. End with prop-bet-friendly angles.
Author: Assistant
Category: conditions-to-strategy-bridge | Model: gpt-4o
Create a lab to collect logs from OS, web server, and network sensors. Specify queries in Sigma/ELK and a detection for brute force + lateral movement.
Author: Assistant
Category: practical-lab | Model: gpt-4o
For a BH steel mini-mill, define casting quality controls: mold powder selection, breakout detection, secondary cooling, and slab inspection. Set KPIs.
Author: Assistant
Category: metals-process-quality | Model: gpt-4o
Explain EU digital ID wallet timelines and PSD2/PSD3 changes; link to Asia super-app identity/payment models. Provide consumer and merchant impact boxes.
Author: Assistant
Category: fintech-policy-crossview | Model: gpt-4o
Create a hallucination detector using entailment+attribution signals. Define abstention thresholds, user messaging, and a re-query strategy with targeted retrieval.
Author: Assistant
Category: safety-reasoning-LLM | Model: gpt-4o
Show ASEAN inbound/outbound air capacity, hotel ADR, visa policy changes. Provide winners/losers by route and festival calendars.
Author: Assistant
Category: travel-econ-coverage-SEA | Model: gpt-4o
Run an ergo assessment on Kawasaki assembly tasks. Identify high RULA/REBA scores, propose lift assists, work-height changes, and job rotation. Estimate MSD risk reduction.
Author: Assistant
Category: health-safety-ergonomics | Model: gpt-4o
Design a one-week kaizen sprint for a precision parts plant in Kawasaki. Map a machining cell’s current state, run a time-and-motion study, quantify OEE losses, propose SMED changes for setup under 10...
Author: Assistant
Category: lean-operations | Model: gpt-4o
Have ChatGPT template Terraform/Pulumi modules, Cursor generate CI pipelines for plan/apply, and Antigravity agents stand up preview environments per PR. Include drift detection and cost guardrails.
Author: Assistant
Category: platform-engineering | Model: gpt-4o
ChatGPT designs migration playbooks (expand/contract); Cursor adds checks and backfills; Antigravity runs shadow reads and performance gates. Output rollback patterns.
Author: Assistant
Category: data-store-reliability | Model: gpt-4o
Pick a UI/server framework migration (e.g., Vue→React, Express→FastAPI). ChatGPT drafts a strangler plan; Cursor generates adapters; Antigravity runs dual-run canaries and traffic shadowing. Output ri...
Author: Assistant
Category: architecture-change | Model: gpt-4o
Identify top procrastination triggers and prescribe countermeasures: friction reduction, first-inch tactics, commitment devices, and public checkpoints.
Author: Assistant
Category: time-management | Model: gpt-4o
ChatGPT converts PR changes into docs; Cursor updates MDX/diagrams; Antigravity verifies links/examples and deploys docs site previews. Include contribution guidelines.
Author: Assistant
Category: documentation-ops | Model: gpt-4o
Create a refactor plan that slices changes behind flags. ChatGPT proposes flag taxonomy; Cursor inserts flags and writes toggled tests; Antigravity runs canary + dark launch verifications. Deliver a k...
Author: Assistant
Category: release-engineering | Model: gpt-4o
Build a verifier that detects agreement/contradiction between sources. Define stance labels, entailment thresholds, and escalation rules to human review. Output a confusion matrix target and fallback ...
Author: Assistant
Category: verification-quality | Model: gpt-4o
Design watchers for tracked topics that diff sources and trigger re-summaries when material changes occur. Provide noise filters and notification policy.
Author: Assistant
Category: monitoring-refresh | Model: gpt-4o
Create a cross-lingual flow: detect language, translate queries, use multilingual embeddings, and cite in user language while preserving original quotes. Provide locale heuristics and typography rules...
Author: Assistant
Category: internationalization-research | Model: gpt-4o
Use Cursor’s visual editor to propose UI tweaks, ChatGPT generates design-token updates and a11y copy, Antigravity snapshots and runs visual diffs to ensure no unintended changes. Deliver a review pac...
Author: Assistant
Category: frontend-productivity | Model: gpt-4o
Set up a daily investing journal with 5 prompts: what changed, variant perception, position hygiene, risk notes, and action or inaction rationale.
Author: Assistant
Category: investing-process-discipline | Model: gpt-4o
Craft a narrative that connects customer change drivers to your unique approach. Produce a one page story, a 5 slide deck outline, and proof point list.
Author: Assistant
Category: story-strategy | Model: gpt-4o
Map value stream and identify wait states. Propose automation and policy changes to cut cycle time by 30 percent. Output investment cases.
Author: Assistant
Category: throughput-ops | Model: gpt-4o
Benchmark kitchen line design, make times, and delivery surge handling of food rivals. Propose layout or prep changes to raise peak-hour throughput safely.
Author: Assistant
Category: ops-optimization-food | Model: GPT-5.1
Measure flow efficiency vs wait time across intake to delivery. Propose WIP limits and policy changes. Output a kanban health report.
Author: Assistant
Category: lean-ops | Model: gpt-4o
Map dependencies on vendors and platforms, score concentration and change risk, and propose hedges or alternates. Output a quarterly risk review template.
Author: Assistant
Category: risk-management | Model: gpt-4o
Draw a service blueprint from touchpoints to backstage queues. Calculate capacity and propose queue disciplines. Output backlog changes.
Author: Assistant
Category: service-ops-engineering | Model: gpt-4o
Write weather-specific playbooks for heavy rain, typhoons, and heat waves. Include backup indoor routes, hydration math, and ticket change scripts.
Author: Assistant
Category: weather-contingency | Model: gpt-4o
Write a cross-platform clipboard tool: stdin→clipboard and clipboard→stdout. Detect pbcopy/xclip/win32 APIs. Flags: --copy, --paste, --type, --watch. Include Unicode/CRLF safety.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Create a read-only CLI to list firewall rules (ufw/pf/Windows Defender Firewall), detect risky rules (any/any), and suggest fixes. Flags: --list, --risk, --export csv.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Create a CLI for fast CSV ops (select, where, join, pivot) with types detection and streaming. Flags: --select, --where 'col>10', --join other.csv --on id, --pivot. TSV compatible.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Build a CLI for zip/tar/7z with auto-detect, password prompts, exclude globs, and integrity verify. Flags: --create, --extract, --list, --encrypt, --level. Show Windows Explorer integration tips.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Create an ffmpeg-based CLI for batch transcode with device detection (HW accel when possible). Presets: social, lossless, podcast. Flags: --in, --out, --crf, --audio-bitrate, --normalize.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Implement a cross-platform file watcher that runs a command on change with debounce and include/exclude globs. Flags: --cmd, --debounce 300ms, --include, --exclude, --ext.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Implement a helper that creates password-less, key-based SSH tunnels for web apps (local:remote). Detect port conflicts, print URLs, and add keepalive. Flags: --local 8080:localhost:80.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Write a CLI to preview and validate hosts file entries, detect duplicates, and suggest merges. Default read-only, with --apply guarded by confirmation. Backup/restore included.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Create a CLI to fetch a URL, normalize HTML (readability), diff against last snapshot, and notify on change (stdout/desktop). Flags: --url, --interval, --selector, --save.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Design a cross-platform CLI that shows CPU/RAM/disk/net in one TUI. Auto-detect OS (Linux/macOS/Windows 11 PowerShell), sample every N seconds, and render sparklines. Provide --json, --once, --interva...
Author: Assistant
Category: cli-tool | Model: gpt-4o
Act as a path AI lead. Draft a WSI pipeline: tiling, color normalization, tissue detection, artifact rejection, MIL architectures, and pathologist-in-the-loop review.
Author: Assistant
Category: imaging-ml | Model: gpt-5
Act as a single-cell lead. Draft a Seurat/Scanpy plan: filtering, doublet detection, normalization, batch correction, clustering, marker identification, and annotation. Provide checkpoint plots list.
Author: Assistant
Category: bioinformatics | Model: gpt-5
You are a safety scientist. Outline a PV workflow: spontaneous reports ingestion, disproportionality metrics, case narratives, and signal triage. Provide a governance and escalation plan.
Author: Assistant
Category: drug-safety | Model: gpt-5
Act as a change manager. Design a rapid stakeholder map: influence vs interest grid, communication style notes, and first outreach messages. Output a simple canvas.
Author: Assistant
Category: management | Model: gpt-5
You are a wildlife coach. Outline approach ethics, fieldcraft, camouflage, shutter and AF-C settings, subject detection, and burst curation. Add a checklist for blinds and weather protection.
Author: Assistant
Category: photography | Model: gpt-4o
Act as a social insights analyst. Design a listening program: query design, competitor and keyword sets, sentiment taxonomy, issue detection thresholds, and a monthly insight report template for PR ac...
Author: Assistant
Category: PR | Model: gpt-4o
You are a DevSecOps lead. Create a starter pipeline: dependency scanning, SBOM generation, SAST/DAST, secrets detection, and signed releases. Provide pass/fail gates and incident playbooks.
Author: Assistant
Category: software | Model: gpt-4o
Act as a principal engineer. Define a CI/CD pipeline that satisfies SOC 2 and ISO 27001 concerns: branch policies, required reviews, SBOM generation, dependency scanning, SAST/DAST, signing and proven...
Author: tsubasa
Category: engineering | Model: gpt-4o
Create an adoption plan for backside power and buried rails on a next-gen CPU tile: design rule deltas, floorplan implications, timing/power impact, tool flow changes, risk mitigation, and fab engagem...
Author: Assistant
Category: chip-design | Model: gpt-4
You are a mechanical engineer. For a small gear-train assembly, produce a 1D tolerance stack-up calculation and GD&T scheme: datums, runout, concentricity, perpendicularity, and clearance fits. Show w...
Author: tsubasa
Category: mechanical | Model: gpt-4o
You are a mechanical cost engineer. For a machined aluminum bracket, propose design-to-value changes: feature simplification, tolerances, toolpath optimization, surface finish trade-offs, and batch st...
Author: tsubasa
Category: mechanical | Model: gpt-4o
As a reliability engineer, propose a HALT/HASS plan for an IoT gateway (−20 to 60°C, vehicle vibration). Include stress profiles, sample sizes, acceptance criteria, accelerated models (Arrhenius, Coff...
Author: tsubasa
Category: mechanical | Model: gpt-4o
As a systems engineer, conduct a DFMEA for a belt-driven actuator with motor, gearbox, encoder: severity-occurrence-detection scoring, top 10 RPNs, mitigations, and verification tests. Provide a compa...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Create a regulatory change tracker for Tokyo covering samurai bond issuance mini-brief (illustrative). Return a table: rule, applicability, effective_date, owner, action, status. Add a monthly governa...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a regulatory change tracker for Geneva covering gold/precious metals custody and financing. Return a table: rule, applicability, effective_date, owner, action, status. Add a monthly governance ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Explain how to leverage a trend while staying original: angle changes, format twists, data overlays. Provide a decision tree and 5 safe/legal checks. Output as bullet points + a tiny flowchart in Merm...
Author: Curioforce Corp. Corp.
Category: Viral Content | Model: gpt-5-thinking
Draft essential clauses for bilingual (EN/ZH) maintenance contracts in Lanzhou. Include scope, KPIs, response times, spare-parts responsibility, change-order rules, invoicing cadence, and dispute step...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Define roles/responsibilities (RACI) for enterprise social: owners, approvers, legal. Add SLAs and a change log template.
Author: Inspire Search Corp.
Category: Enterprise | Model: gpt-5-thinking
Create an A/B testing protocol for hooks, captions, thumbnails. Define sample sizes, minimum detectable effect, and a testing calendar. Include 50 hook/caption candidates to test.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Goal: deploy real-time anomaly detection and alerting. Data: streaming events and KPIs. Steps: 1) Forecast baselines with ETS/Prophet; 2) Residual monitoring with robust z-scores; 3) Alert playbooks; ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: detect robots/scrapers from logs. Data: server logs (CDN/WAF), GA4 anomalies. Steps: 1) UA/IP reputation, JA3/TLS fingerprints; 2) Request-rate and path entropy anomalies; 3) Honeypot endpoints;...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: check experiment readiness and sample size. Data: baseline conversion, traffic, variance. Steps: 1) Minimum detectable effect; 2) Power calculation; 3) Guardrail metrics; 4) Sequential vs fixed-...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: define sessionization robustly and filter bots. Data: raw web logs + GA4 BigQuery. Steps: 1) Build session rules (30m inactivity, campaign change resets); 2) Bot filters using IP ranges, UA rege...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: run portfolio stress test across macro scenarios. Perplexity: compile plausible shock scenarios (rates +100bp, oil +20%, CNY deval, recession) with historical precedents. Bloomberg: PORT<GO> if ...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: understand cross‑asset correlation shifts. Perplexity: find recent studies on equity‑bond correlation sign changes and drivers. Bloomberg: GP<GO> to plot rolling 60d/120d correlations (equities,...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: detect rising credit stress ahead of equities. Perplexity: gather narratives on HY spreads, default cycles, bank lending surveys. Bloomberg: SRCH<GO> to list HY bonds, YAS<GO> for spread/yield c...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: monitor post‑earnings drift for {TICKER}/{SECTOR}. Perplexity: collect market reactions and analyst revision tone over 1–5 days; link primary sources. Bloomberg: HP<GO>/GP<GO> for gap and drift;...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: build an earnings preview for {TICKER}. Perplexity: summarize last 4 quarters’ beats/misses, guide changes, transcript highlights; compile sell‑side preview consensus with citations. Bloomberg: ...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
From tech and science news, detect weak signals of breakthrough innovations. Assign readiness level and forecast adoption timeline.
Author: Tsubasa Kato
Category: Tech Foresight | Model: GPT-5
Combine data from geopolitical and economic headlines to detect convergence points (e.g., sanctions + resource shortages). Predict emerging conflict or cooperation zones.
Author: Tsubasa Kato
Category: Strategic Foresight | Model: GPT-5
Generate a detailed step-by-step guide on how to implement real-time object detection and segmentation using the latest edge GPU boards (e.g., NVIDIA Jetson or Google Coral) in a robot's workflow, foc...
Author: Prompt Generator
Category: Robotics/AI | Model: llama3.1:latest
Write a comprehensive GenAI prompt that utilizes the latest edge GPU boards to accelerate tasks such as data annotation, object detection, and predictive modeling for a team of robotics engineers. Pr...
Author: Prompt Generator
Category: AI Development | Model: llama3.1:latest
Given the code, identify 3 likely bugs and 3 improvements (readability, performance, security). Provide a minimal diff and a short rationale for each change. Code: {{code}}.
Author: ChatGPT
Category: Coding | Model: gpt-5
Design micro-interventions for {{ICP}} that improve daily health without nagging. Deliver 20 interventions mapped to moments (work, commute, evening), opt-in, and privacy notes. Add measurement and ha...
Author: Tsubasa Kato
Category: health | Model: gpt-5-thinking
For {{infrastructure}} define water impact and reductions. Cover: cooling strategies, recirculation, leak detection, and drought-mode ops. Set WUE targets and alerting rules. Provide a retrofit plan f...
Author: Tsubasa Kato
Category: infrastructure | Model: gpt-5-thinking
Generate an ADR for <system change>: context, decision, options considered, trade-offs (latency, throughput, cost), failure modes, rollback plan, security and privacy impact, data migration, and obser...
Author: ChatGPT
Category: CTO | Model: GPT-5 Thinking
Create a blameless postmortem for incident <id>: timeline, customer impact, 5 Whys, contributing factors, detection gaps, and corrective actions. Propose guardrails, SLO/SLA adjustments, runbooks, and...
Author: ChatGPT
Category: CTO | Model: GPT-5 Thinking
Act as warranty analytics lead. Deliver: early-warning signal system: DTC clusters, parts returns, complaint text mining, dealer hotlist, and triage council cadence. Map NHTSA reporting touchpoints an...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Be a program test lead. Deliver: FMVSS compliance matrix, test calendar (lab/track), sample build plan, VIN/label control, evidence archiving, and change control. KPIs: test pass-rate, retest cost ↓. ...
Author: Tsubasa Kato
Category: Compliance | Model: GPT-5 Thinking
Act as zero-trust PM. Phase SSO, MFA, device posture, and ZTNA for remote apps. Deliver: app inventory, policy tiers, break-glass, phishing-resistant MFA, BYOD stance, and change comms. KPIs: risky lo...
Author: Tsubasa Kato
Category: Security | Model: GPT-5 Thinking
Build a predictable patch motion. Deliver: risk-based rings, pilot cohorts, maintenance windows per timezone, device health gates, rollback, and comms. KPIs: patch latency, failure %, vuln backlog. Ou...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Be the fleet baseline owner. Build a compliant firmware/BIOS/BMC matrix across vendors. Deliver: source of truth, hash/signature checks, ringed rollout (lab→canary→zone), auto-rollback, maintenance wi...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Act as an industrial engineer. Build a warehouse digital twin to improve pick speed and accuracy. Deliver: data contracts (SKU dims/velocity, ABC classes, aisle graph), slotting policy experiments, pa...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Be an IT ops partner for a 200–2,000 seat office. Produce a 30-day rollout: automated onboarding (SSO, MDM, mailbox, groups), offboarding (access revoke, data handback, license reclaim), and a helpdes...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Create a plan to simulate an active/band-pass filter with component tolerances. Deliver: transfer targets, SPICE model set, Monte Carlo runs, temperature corners, KPIs (gain ripple, Q, phase), manufac...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Write an ITIL-aligned process for agent incidents and changes: severity matrix, rollback, shadow traffic, canary, approvals, comms templates, and post-mortems with eval deltas. Include regulator-ready...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Act as program manager for a 200–800 staff company. Deliver a 30/60/90 plan: portfolio of 6 agents (sales, finance AP, IT help, HR Q&A, legal intake, PMO summarizer), governance (RBAC, data retention)...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Propose lightweight guardrails: role-based access, PII masking, approval keywords, monthly budget caps, prompt change log, red-team checklist. Output SOPs (1 page each), incident playbook (who/when/ho...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
For {{base}}/{{quote}}, analyze intraday swings in the last 24h and any central bank or macro headlines moving FX. Output: range, % change, key catalysts, risk to {{business_area}}, hedge ideas. Add 3...
Author: Tsubasa Kato
Category: Finance | Model: gpt-5
List shipments with >{{threshold}}% ETA variance in last 24h. For each: route, carrier, cause, customer impact, recovery options. Finish with 3 fixes (reroute, carrier swap, buffer change).
Author: Tsubasa Kato
Category: Operations | Model: gpt-5
For {{case_or_filing}}, list all filing/response deadlines within next 7d and any changes in past 24h. Include court orders, docket updates, required docs, owners. Provide a checklist.
Author: Tsubasa Kato
Category: Legal | Model: gpt-5
Summarize daily changes to cash runway from {{date_range}}. Include: new payables/receivables, burn changes, FX effects, big variances vs plan. End with runway months and red/green flags.
Author: Tsubasa Kato
Category: Finance | Model: gpt-5
Scan {{jurisdiction}} regulators ({{agencies}}) for rules or actions in the last 48h affecting {{sector}}. Return: change summary, who is impacted, compliance deadline, likely penalties, action checkl...
Author: Tsubasa Kato
Category: Compliance | Model: gpt-5
Design a compliant outbound engine that uses buying signals (job changes, funding, tech installs) to trigger sequences. Provide copy frameworks and call talk tracks localized for JP/US/EU.
Author: ChatGPT
Category: business | Model: gpt-5
Explain how structuralism, psychoanalytic, feminist, postcolonial, and ecocritical lenses change how we read a novel or watch a film. For each lens, provide 3 guiding questions and a quick case study ...
Author: ChatGPT
Category: criticism | Model: gpt-5
Pick one composer and analyze leitmotifs across two films. Show cue structure, instrumentation, how theme variations track character changes, and suggest a focused listening playlist.
Author: ChatGPT
Category: film | Model: gpt-5
From a Porter’s Five Forces perspective, analyze how our pricing strategy influences bargaining power, threat of substitutes, and rivalry in [industry]. Recommend price architecture changes that forti...
Author: [email protected]
Category: Strategy, Competition, Competitive, perspective, price, pricing | Model: GPT-4o, o4-mini, o4-mini-high, Grok, o3
Create a science fiction adventure set on Mars centered around two teenage protagonists, Kael and Lyra, who uncover a hidden signal beneath Olympus Mons. The story explores their emotional journey, th...
Author: [email protected]
Category: story,story plot,Mars,space,science fiction | Model: GPT-4o,o3-mini,o1
Identify the top 3 AI-powered cybersecurity solutions that offer real-time threat detection, automated response, and are suitable for large enterprises. Provide a rationale for each selection.
Author: Security Analyst
Category: Technology | Model: GPT-4