Showing results for "error-log"
Examine how various approaches to voter rolls, registration data, and access policies influence voter participation, privacy, and the integrity of elections. Evaluate safeguards for transparency, erro...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Criminal justice systems must balance the need for final verdicts with the possibility of correcting wrongful convictions. Examine the design of retrial procedures: who can petition, what evidence sho...
Author: Curioprompt
Category: Society | Model: gpt-5.4-mini
Public services are experimenting with AI, robots, and other automation to improve speed, access, and efficiency. Evaluate where these tools can genuinely reduce waiting times or extend coverage, and ...
Author: Curioprompt
Category: Technology | Model: gpt-5.4-mini
AI is increasingly used in medicine, journalism, and everyday knowledge work, but concerns are growing about overreliance, errors, and the loss of human judgment. Evaluate the best use cases for AI as...
Author: Curioprompt
Category: Science | Model: gpt-5.4-mini
Analyze how election administrators can prevent and respond to breakdowns such as ballot shortages, logistics errors, and contested procedures. What governance safeguards, auditing practices, staffing...
Author: Curioprompt
Category: Politics | Model: gpt-5.4-mini
A court finds a major AI-powered information service legally responsible for misleading output. Analyze the broader question: who should bear liability when an AI system gives harmful or false answers...
Author: Curioprompt
Category: Technology | Model: gpt-5.4-mini
Create a boot troubleshooting checklist: power, storage, display, BIOS settings, and logs. Keep it general, safe, and sequential.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a troubleshooting guide for common display issues: flicker, brightness, touch errors, and cable problems. Provide safe checks and logging steps.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain when thermal paste vs pads are appropriate in compact devices, common mistakes, and how to validate improvement via temperature logging. Keep it general.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create a diagnosis plan for throttling: what metrics to log (temps, clocks, power), how to reproduce, and how to decide between cooling vs power limits.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a dashboard that drives the agent’s priorities: complexity, test coverage, error hotspots, dependency risk, and SLOs. Include alert thresholds and weekly reports.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a feature flag workflow: staged rollout, kill switches, and metrics by cohort. Include rules for cleanup (flag debt) and audit logging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a gate that blocks merges unless linting, type checks, and security linters pass. Include a policy for exceptions and mandatory justification logging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a controlled translation system: glossary, style guide, human review, and back-translation checks. Integrate with MCP and require provenance logs.
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 a plan to reduce logging costs: sampling, cardinality caps, and aggregation. Require proof that debugging capability is preserved via incident drills.
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
Create a plan for rotating secrets using a vault and short-lived tokens. Ensure no secret values are ever logged, diffed, or included in artifacts.
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
Design compatibility tests between LLM prompts and MCP tools: schema conformance, error handling, and anti-injection checks. Gate prompt/tool updates on these tests.
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
Design a global kill switch that halts all automated edits/deploys across environments. Include manual override process and audit logging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define MCP tools for repo read, lint, unit tests, dependency scan, and PR creation. Specify schemas, permissions, error codes, and deny-by-default access.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that tunes retry/backoff/rate-limits based on telemetry. Require proofs that error rates drop without raising costs or latency.
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 secret-handling: vault integration, redaction in logs, and automated leak scans on diffs, logs, and artifacts. Include fail-closed behavior.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a tracing and logging spec for the self-edit loop: prompts, tool calls, diffs, test results, deploy events, and user impact metrics.
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 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
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
Create an agent that rewrites error messages for clarity, adds error codes, and links to docs. Verify improvements via support ticket taxonomy and A/B testing.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a self-improving code-editing AI loop that proposes patches, runs tests, requests review, and deploys via canary + rollback. Include explicit safety gates and audit logs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that improves error handling: retries, timeouts, and clearer exception types. Require integration tests and telemetry validation post-deploy.
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
Design MCP wrappers that validate inputs, enforce types, and reject dangerous parameters. Include error taxonomy and audit logging for rejected calls.
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 data governance for user feedback and logs: consent, retention, minimization, access controls, and audit trails. Provide a policy and an implementation checklist.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design an auditability system: trace inputs→retrieval→prompt→tool calls→outputs, with immutable logs and privacy controls. Include a schema and query patterns for audits.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design security controls: API keys storage, least privilege, environment separation, and audit logging. Include rotation policy and incident response playbook.
Author: Assistant
Category: research-bot | 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
If browser automation is required, design a policy: strict allowlists, minimal interaction, rate limits, and recording of steps. Include risk assessment and a user-facing disclaimer template.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a least-privilege permission model for tools: scopes, rate limits, time bounds, and audit logs. Provide an authorization matrix and guidelines for granting elevated access.
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
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
Create a cross-validation pattern: primary model proposes, secondary model critiques/verifies, and a policy gate decides. Include how to handle disagreements and measure error reduction.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Define a safe logging policy: what to log for debugging, what to redact, retention windows, access controls, and anonymization. Include examples and anti-examples.
Author: Assistant
Category: recursive-ai-safety | 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 how to expose search/fetch/extract as MCP tools: schemas, permissions, and audit logs. Include example tool definitions and a safety policy for tool use.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Provide a VOD review framework: tagging errors, decision trees, positioning, cooldown economy, and comms clarity. Output a checklist and a template to track recurring patterns and fixes.
Author: Assistant
Category: gaming-metaverse | 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
Create a prioritization rubric for assigning coverage: public impact, novelty, proximity, evidence strength, audience relevance, and resource cost. Output a daily standup agenda and decision log forma...
Author: Assistant
Category: news-ops | Model: gpt-4o
Create a follow-up cadence plan with scripts for USA/Europe/Asia: first follow-up, second follow-up, final follow-up, and re-open later. Include personalization rules and a CRM logging method.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Create a root-cause diagnosis workflow for an experienced mechanic working on cars, motorcycles, or bicycles. Include symptom capture, hypothesis tree, test order, evidence logging, and a rule for whe...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Design an editorial workflow using agent roles (researcher, drafter, editor, fact-checker, compliance). Define gates, artifacts, and audit logs. Output SOP + reusable prompts.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create a meeting strategy guide for USA/Europe/Asia: pre-alignment, agenda discipline, decision logs, and follow-up mechanisms. Include how to handle silent disagreement and consensus cultures.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Define guardrails for automated content: what can be fully automated vs requires review, approval stages, and audit logs. Provide a risk-based approval matrix by channel.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
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 privacy-by-design approach: data minimization, redaction, retention limits, and access controls for agent logs and memory. Include a compliance-friendly checklist.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a disagreement resolution policy: majority vote, weighted expertise, verifier override, or human arbitration. Include criteria for which method applies and how to log rationale.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design end-to-end tracing: prompt versions, retrieval results, tool calls, retries, and final answers. Include a log schema and query examples for incident investigation.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a planner–executor split: planner produces a verifiable plan, executor performs bounded actions, verifier checks constraints. Include gate criteria, rollback triggers, and audit logging.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a confidence routine: daily evidence log, weekly reflection, and micro-win planning. Include prompts and a scoring system so I can track progress.
Author: Assistant
Category: soft-skills | 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
Design secrets handling: vault integration, short-lived tokens, environment isolation, and audit trails. Include tests to ensure secrets never appear in outputs or logs.
Author: Assistant
Category: agent-architecture | 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 track day preparation checklist for cars or motorcycles: brakes, tires, fluids, suspension, fasteners, safety gear, data logging, and post-session inspection.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
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
Teach me DACI/RACI and help me apply it to my project. Produce a roles table, decision log format, and a meeting script to confirm ownership.
Author: Assistant
Category: soft-skills | 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
Design a written culture upgrade: documentation standards, meeting notes, decision logs, and ‘single source of truth’ structure. Provide templates and review routines.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Create policy profiles for user tiers: consumer, enterprise, regulated. Include stricter tool permissions, logging requirements, and human approval gates by tier.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a fuel trim analysis workflow: STFT/LTFT by idle/load, vacuum leak indicators, MAF/MAP errors, injector issues, fuel pressure, exhaust leaks, and sensor plausibility checks.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a diagnostic flow for wheel bearings and hubs. Include noise by load direction, free play, heat, roughness, seal condition, installation errors, and post-service validation.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a high-engagement conversation class plan for adult ESL learners in New York. Include topic prompts, turn-taking rules, error correction strategy, and reflection.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create a packetization/framing scheme for high-speed links: framing, CRC, alignment markers, credit/backpressure, and error recovery. Provide RTL module boundaries and test plan.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a diagnostic and maintenance plan for e-bikes: battery health, motor behavior, connectors, sensors, display/controller errors, brakes, drivetrain wear, and safe charging habits.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Design a practice tracking dashboard: time, tempo gains, error types, goals met, and mood/energy. Provide recommended metrics and a weekly review ritual to adjust the plan.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Create a 7-day sight-reading sprint: daily material selection, tempo rules, error tolerance, and reflection. Include instrument-specific tips and a tracking sheet layout.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Design MCP tool schemas: typed inputs/outputs, explicit error codes, idempotency rules, and logging fields. Provide examples of good vs bad schema design for agent reliability.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a DMA engine: descriptor format, scatter/gather, burst strategy, alignment handling, error reporting, and security boundaries. Provide test plan including corner cases and stress tests.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a 5-lesson mini-course on counterpoint: species rules, common errors, and daily exercises. Include an AI-assisted checking method and a rubric for self-evaluation.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Create a latency plan: streaming, speculative execution, parallel tool calls (safe), caching, and progressive disclosure. Include how to avoid race-condition errors and maintain correctness.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Explain how to interpret compression and leakdown results. Provide a workflow to distinguish rings, valves, head gasket, cam timing, and test setup errors.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a lesson sequence to teach English articles (a/an/the) to Japanese learners: common error patterns, concept checks, and practice that transfers to writing.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create an error correction strategy guide: recasts, elicitation, delayed correction, and feedback symbols. Include when to correct in fluency vs accuracy activities.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create a combined system: spaced repetition for vocab/phrases + an error log for mistakes. Provide a daily workflow (20–30 min) and a weekly consolidation ritual.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Create an error taxonomy for TOEFL writing/speaking (articles, tense, agreement, word form, prepositions, run-ons). Provide targeted mini-drills and a weekly review system.
Author: Assistant
Category: toefl-2026 | 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
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
Create a mini-unit on keigo for intermediate learners in Fukuoka. Include formality ladder, common workplace scenarios, and error-correction tips.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create a plan to teach Japanese particles (は/が/を/に/で) to English speakers in New York. Include explanations, drills, communicative tasks, and error diagnosis.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create a TOEFL diagnostic plan for 7 days: baseline tests for Reading/Listening/Speaking/Writing, error taxonomy, and a score projection model. Output a personalized study plan based on weakest skills...
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Design a multiagent operating model: roles (planner, researcher, executor, verifier), tool boundaries, memory policy, escalation rules, and audit logs. Include an ‘agent budget’ concept and KPI set.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Build a P&L-style ROI model for deploying agents as digital workers: labor displacement vs augmentation, quality risk, error cost, cycle time reduction, and governance overhead. Provide a template wit...
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Propose an interoperability strategy for agents across vendors: standard tool interfaces, event schemas, identity, logging, and portability. Include a 90-day de-risk plan and contract clauses to avoid...
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Define north-star metrics for AI in 2026: time-to-decision, cost-per-outcome, error-rate under policy, trust score, and automation rate with human satisfaction. Provide instrumentation plan.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Prepare a weekly coding kata: fix input validation, auth, secrets, and logging issues. Provide code snippets in Python/JS and test cases.
Author: Assistant
Category: dev-sec-edu-series | Model: gpt-4o
Provide a checklist for IR and cyber projects: minimize PII, consent logging, deletion tooling, and redaction for storage.
Author: Assistant
Category: privacy-checklist-students | 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
Write 10 SQL exercises on click logs, queries, sessions, and dwell time. Include expected outputs and hints.
Author: Assistant
Category: analytics-drill-IR-SQL | Model: gpt-4o
Map IAM, network segmentation, KMS, and logging across one cloud provider. Provide a minimal landing zone with guardrails.
Author: Assistant
Category: cloud-architecture-cyber | Model: gpt-4o
Compare BM25 to sentence embeddings for a news corpus. Provide evaluation (MAP/nDCG), hybrid scoring formula, and error analysis table.
Author: Assistant
Category: comparative-analysis-IR | Model: gpt-4o
For a Sagamihara metalworking SME, draft a 90-day digital roadmap: barcode WIP tracking, simple MES, maintenance logs, and power monitoring. Include cost bands, vendor shortlist, and a pilot success c...
Author: Assistant
Category: industry-4.0 | Model: gpt-4o
Specify a lightweight agent loop with decomposition, execution, and critique. Provide termination conditions, trace logging, and loop unroll limits.
Author: Assistant
Category: agent-architecture-LLM | Model: gpt-4o
Outline a privacy strategy: DP-SGD variants for SFT, selective redaction layers, privacy evals (membership inference), and logging minimization.
Author: Assistant
Category: privacy-engineering-LLM | Model: gpt-4o
Define observability: token usage distributions, tool call success, citation density, and hallucination alerts. Provide redaction-safe logs and dashboards.
Author: Assistant
Category: platform-observability-LLM | Model: gpt-4o
Specify an intent/entity parser to steer retrieval (who/what/where/time). Include temporal normalizers and domain ontologies. Provide examples and error handling.
Author: Assistant
Category: query-understanding | Model: gpt-4o
Define JSON tool contracts (inputs/outputs/errors) and telemetry for every call (latency, token use, source count). Provide a redaction policy for logs.
Author: Assistant
Category: platform-observability | Model: gpt-4o
Have ChatGPT define DORA+space metrics; Cursor wires collectors in CI; Antigravity aggregates and alerts on error-budget burn. Provide a monthly review agenda.
Author: Assistant
Category: engineering-ops | Model: gpt-4o
Add a privacy stage that redacts PII from inputs/outputs and blocks storage for sensitive fields. Provide audit logs and consent flags in metadata.
Author: Assistant
Category: privacy-compliance | Model: gpt-4o
ChatGPT enumerates PII patterns and retention policies; Cursor adds find-and-mask utilities; Antigravity scans repos/logs and flags violations. Deliver a remediation queue.
Author: Assistant
Category: privacy-engineering | Model: gpt-4o
Audit a calendar and convert eligible meetings to async. Provide email/Slack templates, decision logs, and criteria to cancel, compress, or cluster meetings.
Author: Assistant
Category: time-management | Model: gpt-4o
ChatGPT defines naming/expiry rules; Cursor adds audit logs and cleanup jobs; Antigravity reports stale flags each sprint and opens removal PRs. Provide a governance doc.
Author: Assistant
Category: product-governance | Model: gpt-4o
Define a weekly critique: aircraft (aero/perf), car (HMI/safety), magazine (legibility/flow). Provide checklists, scoring rubrics, and decision logs.
Author: Assistant
Category: design-operations | Model: gpt-4o
ChatGPT writes golden path templates for logs/metrics/traces; Cursor inserts instrumented examples; Antigravity validates dashboards and SLO alerts per service. Output service health runbook.
Author: Assistant
Category: sre-foundations | Model: gpt-4o
Collect logs/incidents; ChatGPT drafts a blameless postmortem; Cursor queries log/trace snippets and links to code; Antigravity reconstructs a timeline and verifies action items land in code/config. P...
Author: Assistant
Category: reliability-ops | Model: gpt-4o
ChatGPT maps controls to code/process; Cursor instruments logs/alerts; Antigravity gathers evidence on schedule and exports a binder. Include DSR/retention tests.
Author: Assistant
Category: compliance-ops | Model: gpt-4o
Define a cadence for reversible vs irreversible decisions. Add premortem, postmortem, and decision log templates. Output a 30 60 90 rollout plan.
Author: Assistant
Category: management-ops | Model: gpt-4o
Define naming, ownership, expirations, and logs for flags. Add a cleanup ritual and audit queries. Output a governance SOP.
Author: Assistant
Category: governance-engineering | Model: gpt-4o
Propose experiments on price levels, packaging, and fences. Define sample size, guardrails, and rollout plan. Output a decision log template.
Author: Assistant
Category: pricing-ops | Model: gpt-4o
Combine Kaizen with OODA for a weekly improvement loop. Map current workflow, pick one friction, propose a countermeasure, run a 7 day pilot, and log outcomes. Output a one page SOP and a next loop ba...
Author: Assistant
Category: process-improvement | Model: gpt-4o
List guardrails for deploy safety such as canaries, feature flags, error budgets, and rollback scripts. Output a checklist and training plan.
Author: Assistant
Category: release-engineering | Model: gpt-4o
Set up a cross-functional product council with TW/US representation: agenda, decision log, RICE/ICE scoring, and roadmap comms pack.
Author: Assistant
Category: product-governance | Model: gpt-4o
Design metrics/logs/traces with SLOs split by user region (TW/US). Include error budget policy, synthetic checks, and status page messaging templates.
Author: Assistant
Category: reliability-engineering | Model: gpt-4o
Write a plan for feature flags, A/B tests by locale, guardrail metrics, and exposure logs. Include cultural copy tests (EN vs zh-TW).
Author: Assistant
Category: experimentation-platform | Model: gpt-4o
Lay out a practice protocol mirroring official timing. Provide printable bubble sheet, checkpoints, and post-test error taxonomy.
Author: Assistant
Category: mock-test-TOEIC | Model: gpt-4o
Define an error taxonomy (concept, process, careless, pacing). Provide a CSV template and dashboard spec to visualize trends weekly.
Author: Assistant
Category: analytics-SAT | Model: gpt-4o
Build a minimalist trauma/first aid list and comms plan (PLB/inReach/Zoleo basics, SMS templates, UTM/what3words). Include an incident log form.
Author: Assistant
Category: safety-kits | Model: gpt-4o
Design a CSV schema and examples for tracking mistakes (Item ID, Type, Reason, Time, Fix plan). Add a visualization brief to spot patterns (e.g., inference vs detail errors).
Author: Assistant
Category: study-tools | Model: gpt-4o
Create a CLI to list/start/stop services using systemctl/launchctl/Windows ServiceController. Flags: --list, --status name, --restart name, with privilege checks and logs.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Create a CLI that logs battery %, wear level, charge cycles, and power source. Use upower/pmset/PowerShell WMI. Flags: --watch, --csv, --notify thresholds.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Implement a rate-limited TCP port scanner with banner grab (when legal). Flags: --target, --ports 1-1024, --safe, --top100, --timeout. Print risk warnings and logging. Use Test-NetConnection/nc/nmap i...
Author: Assistant
Category: cli-tool | Model: gpt-4o
Create a CLI that updates packages using apt/dnf/pacman/brew/winget/choco when available. Flags: --check, --upgrade, --security-only (if supported), --list-outdated, --dry-run. Log file per host.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Implement tail -f equivalent with Windows support, colored highlights for multiple regex patterns, and context lines. Flags: --file, --pattern, --since, --json. Handle rotated logs robustly.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Build a CLI to dockerize a folder with sane defaults: generates Dockerfile/Compose, builds, runs, tails logs, and cleans. Flags: --init, --build, --run, --logs, --down. Language presets (Python/Node/G...
Author: Assistant
Category: cli-tool | Model: gpt-4o
You are a biosafety officer. Draft BSL-2 SOPs: PPE, waste, spill response, sharps, incident reporting, and training logs. Include a lab signage kit and audit checklist.
Author: Assistant
Category: lab-safety | Model: gpt-5
You are a health IT integrator. Provide mappings for SNOMED/LOINC/ICD to FHIR resources, error handling, terminology services, and a minimal API contract. Include test cases.
Author: Assistant
Category: health-IT-integration | Model: gpt-5
You are a clinical NLP lead. Build a de-identification-first pipeline: PHI scrubbing, section segmentation, entity extraction (SNOMED/LOINC), and cohort retrieval. Include audit logs and drift checks.
Author: Assistant
Category: health-IT | Model: gpt-5
Act as a lab automation engineer. Propose a bench-to-cloud setup: liquid handler protocols, barcode schema, LIMS/ELN fields, error handling, and audit trails. Include CSV templates.
Author: Assistant
Category: lab-ops | Model: gpt-5
Act as a POCUS coach. Lay out FAST, lung, IVC, and basic echo windows; probe choices; image labeling; and a credentialing log template. Add safety notes and documentation examples.
Author: Assistant
Category: critical-care-education | Model: gpt-5
Act as a lab QA lead. Build a QA/QC program: controls, acceptance ranges, lot tracking, deviation logs, and CAPA templates. Include weekly QC dashboard spec.
Author: Assistant
Category: lab-operations | Model: gpt-5
You are a deal strategist. Provide a mobile-first log to capture street pricing, discount ladders, bundles, and renewal hints heard on the floor. Add legal/ethical guardrails and a daily debrief forma...
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a solutions architect. Build a matrix for evaluated tech: criteria, thresholds, integration effort, security flags, and PoC triggers. Output a CSV template and risk log.
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a spreadsheet coach. Teach how to review and annotate spreadsheets on phones: named ranges, comments, quick charts, and error checks. Provide a 10-minute commuter checklist.
Author: Assistant
Category: productivity | Model: gpt-5
You are a comms trainer. Design a 2-hour tabletop crisis drill: scenario, injects, decision logs, cross-functional roles, external comms artifacts, and scoring rubric. Include a debrief template.
Author: Assistant
Category: PR | Model: gpt-4o
You are a community manager. Build a response matrix: scenarios (praise, complaint, misinformation, outage), tone guidance, escalation rules, response SLAs, and sample replies. Include a tagging schem...
Author: Assistant
Category: PR | Model: gpt-4o
You are a research TA. Create a template for containerized experiments using Docker and Makefiles. Include dependency pinning, random seed policy, and artifact logging. Provide a repro checklist.
Author: Assistant
Category: education | Model: gpt-4o
Compare SAR, pipeline, and sigma-delta ADCs for a sensor hub. Include FoM, resolution/SNR targets, sampling rate, power, area, calibration needs, and DFT hooks. Output a recommendation with risk log a...
Author: Assistant
Category: chip-design | Model: gpt-4
Act as a security architect. Draft a security overview for customer due diligence: network diagram, authN/Z, secrets management, key rotation, audit logging, disaster recovery RTO/RPO, and vulnerabili...
Author: tsubasa
Category: engineering | 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
Act as a security-minded engineer. Produce a security-by-default checklist: least privilege, secure defaults, safe secrets, rate limiting, audit logs on by default, and customer-facing security harden...
Author: tsubasa
Category: engineering | Model: gpt-4o
Act as a head of engineering. Create a reliability roadmap: target error budgets, dependency upgrades, chaos drills, capacity plans, and quarterly goals linked to SLO improvements. Provide a dashboard...
Author: tsubasa
Category: engineering | Model: gpt-4o
As a systems architect, define an interface contract between firmware and cloud: message schema, versioning strategy, error codes, retry/backoff, feature flags, and backward compatibility tests. Provi...
Author: tsubasa
Category: engineering | Model: gpt-4o
As a platform engineer, design an observability MVP: log, metric, trace standards; correlation IDs; dashboards for latency, errors, saturation; SLOs and burn-rate alerts; incident response runbook; an...
Author: tsubasa
Category: engineering | Model: gpt-4o
Assemble an M&A deal-room checklist suitable for London focusing on EMIR clearing & margin thresholds monitoring. Return sections: diligence tracks, red-flag logs, data-room index, and closing deliver...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Build a collateral/margin management mini-spec in London for LCH clearing membership operational checklist (illustrative). Cover CSA terms, margin calls, eligible collateral, and haircuts. Return as a...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Build a collateral/margin management mini-spec in Tokyo for TOPIX reweighting and passive flows. Cover CSA terms, margin calls, eligible collateral, and haircuts. Return as a CSV of fields and a dispu...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Assemble an M&A deal-room checklist suitable for New York focusing on SPAC/De-SPAC watchlist with signals. Return sections: diligence tracks, red-flag logs, data-room index, and closing deliverables. ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Assemble an alternative-data signal pack in Tokyo relevant to GPIF stewardship themes and engagement log. List sources, transformations, and a validation rubric. Return as a table and a risk note on c...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Produce an FX hedging playbook for Geneva participants dealing with Lombard lending LTV and margin rules for multi-asset books. Cover hedge ratios, instruments, tenor ladder, accounting notes, and an ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Produce an FX hedging playbook for Tokyo participants dealing with J-REIT screening and sector exposures. Cover hedge ratios, instruments, tenor ladder, accounting notes, and an exceptions policy. Ret...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a plan to characterize noise on a NISQ device: T1/T2, readout error, crosstalk notes. Recommend mitigation: measurement error mitigation, dynamical decoupling, zero-noise extrapolation. Output ...
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Build a loop that collects model errors/failures and proposes prompt edits. Steps: (1) bucket failures, (2) extract missing instructions, (3) propose deltas, (4) generate 3 patched prompts, (5) quick ...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Define a benchmarking suite for variational algorithms: datasets, seed control, metrics (energy error, convergence time), and reproducibility notes. Output: CSV spec (metrics) and YAML (suite config).
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Create an error budget calculator that allocates total error across depth, readout, and optimizer noise. Provide equations and a worked example. End with a rule-of-thumb table by device size.
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Create an audit pack for power quality in a Lanzhou workshop: voltage dips, harmonics, power factor. Return: instrument list, sampling plan, acceptance thresholds (placeholder ranges), root-cause tree...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Provide a stormwater inspection and discharge monitoring template for a site near the Yellow River. Return a table: location, date/time, weather, turbidity check, sheen/odor note, sample taken(Y/N), c...
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
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: mine internal site search for intent gaps. Data: GA4 view_search_results and search_term params. Steps: 1) Top queries with zero-results; 2) CTR to result pages; 3) Query clusters using embeddin...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: compare attribution approaches. Data: multi-touch journeys (GA4 pathing + ad click logs). Steps: 1) Build rule-based (last/first/linear/time-decay); 2) Build Markov and Shapley using transition ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: analyze cohort retention and power-user curve. Data: GA4 users and events, subscription logs if applicable. Steps: 1) Build weekly cohorts by first_visit; 2) Compute W1–W12 retention; 3) Plot po...
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: audit source/medium quality and UTM hygiene for {START_DATE}–{END_DATE}. Data: GA4 BigQuery export `{PROJECT}.{DATASET}.events_*`, ad platform logs, server-side UTMs. Steps: 1) Classify sessions...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Define a lightweight analytics spec for {creator_or_brand}. Deliver: metric tree (North Star → inputs), weekly dashboard spec, definitions (e.g., SAVER: Saves, Average View Duration, Earned shares, Re...
Author: Tsubasa Kato
Category: Influencer Growth | Model: gpt-5
For each data class in {{product_concept}} define purpose, legal basis, retention, and deletion automation. Propose privacy-by-default settings and user controls. Add an audit log design and breach pl...
Author: Tsubasa Kato
Category: data-governance | Model: gpt-5-thinking
Design a quantum circuit that applies the Surface Code protocol to correct single-qubit errors in a logical qubit.
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Describe the principles behind Surface Code and Shor code. How do they protect against decoherence? Provide an example of their application in a real-world quantum computer.
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Write a detailed explanation of the principles and implementation of surface codes or Shor codes in the context of quantum computing, including their applications and limitations. Describe how these ...
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Consider a 3-qubit quantum circuit with several layers of gates. The goal is to minimize the overall gate count while maintaining circuit fidelity. 1. Describe the original circuit structure and iden...
Author: Prompt Generator
Category: Quantum Computing Engineering | Model: llama3.1:latest
Create a high-level design for a quantum error correction protocol using surface codes, including the encoding and decoding procedures, and explain how it addresses noise in quantum computing.
Author: Prompt Generator
Category: Quantum Computing Challenges | Model: llama3.1:latest
Describe and diagram your approach to developing a practical error correction protocol for quantum computers. Assume a system with N qubits and account for common sources of error.
Author: Prompt Generator
Category: Quantum Computing Fundamentals | Model: llama3.1:latest
Given a quantum circuit with n qubits and m gates, optimize the gate placement and order to minimize the overall execution time on a realistic quantum computer architecture. Considerations: * Resourc...
Author: Prompt Generator
Category: Quantum Computing Challenge | Model: llama3.1:latest
Plan energy/thermal budgets for a mobile robot. Deliver: duty cycles, power states, estimator, heat paths, and throttle rules. KPIs: mission time, peak temp, derates. Output: spreadsheet model, test r...
Author: Tsubasa Kato
Category: Engineering | Model: GPT-5 Thinking
Design a time-and-motion study. Deliver: task breakdown, ergonomic checks, layout variants (U/L/inline), tool reach, and label flow. KPIs: seconds/order, errors, strain flags. Output: camera study SOP...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Act as a DC thermal lead. Produce a retrofit plan for hot/cold aisle containment without downtime. Deliver: baseline (ΔT, CFM, rack kW), CFD-lite assumptions, blanking/brush kits, containment bill of ...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Create a forecasting model for rack space, power, and cooling. Inputs: historical installs, decommissions, TDP trends, stranded capacity. Deliver: 6–12 month projections, heatmaps, what-ifs (new clust...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Be the data steward. Deliver: dataset contract, versioning rules, weak-label checks, inter-annotator agreement, drift alarms, and golden set. KPIs: label error %, drift rate, model delta. Output: repo...
Author: Tsubasa Kato
Category: Engineering | 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
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
You are a robotics CI lead. Design a sim-in-the-loop pipeline for perception + planning stacks. Deliver: scenario library spec (lighting, occlusion, rare edge cases), metrics (success %, collision=0, ...
Author: Tsubasa Kato
Category: Engineering | 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
Plan a simulation for battery SOC/SOH estimator (EKF/UKF). Deliver: cell model choice, drive cycles, noise models, KPIs (MAE, drift), fail-safes, logging. Output: algorithm pseudocode, dataset schema,...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Plan a synthetic-user journey simulation for onboarding flows. Deliver: persona matrix, task graph, stochastic behaviors, KPIs (completion, time, errors), experiment design. Output: event schema, dash...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Design a purely educational docking simulation plan with public PDB examples only. Deliver: objective, dataset list, feature extraction, baseline (shape complementarity), KPIs (rank@k), error analysis...
Author: Tsubasa Kato
Category: Simulation | 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
Design an orchestration layer for 5–10 agents: routing, memory, tool auth, retries, tracing, and guardrails. Compare options (workflow engines vs. code), propose SLAs, queues, circuit breakers, and ob...
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
Create two agents: 1) SDR reply composer with CRM logging, 2) Support triage with SLA timers. Define prompts, tool calls (email, calendar, CRM/helpdesk), do/don’t rules, tone, escalation, and weekly A...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Create a pragmatic policy: data map, lawful bases, retention, DLP, redaction, secrets handling, vendor assessment, human review. Include a DPIA lite template, audit log fields, and a quarterly red-tea...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
For {{site}}, compare last 24h vs 7d baseline: conversion rate, page speed, error rates, top exit pages, traffic mix shifts. Suggest 3 fixes prioritized by impact/effort.
Author: Tsubasa Kato
Category: Growth | Model: gpt-5
Within 24h after releasing {{version}}, aggregate: bug reports, crash logs, CS tickets, social/dev forums. Provide top 5 issues, severity, repro notes, and a 3-step hotfix plan.
Author: Tsubasa Kato
Category: Engineering | Model: gpt-5
Create a risk-based map for AI features in a SaaS product. Classify use cases by risk level, propose human-in-the-loop controls, logging, model cards, and user disclosures for JP/US/EU enterprise buye...
Author: ChatGPT
Category: business | Model: gpt-5
You are an expert Go developer with a PhD in computer science, acting as a senior, curious, and detail-oriented pair programmer. You bring academic rigor and years of production experience in Go, with...
Author: [email protected]
Category: Programming, work | Model: GPT-4o, o4-mini, o4-mini-high, o1, o3