Showing results for "error-log"
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
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 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
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
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
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
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 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
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 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 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 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
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 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 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
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
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 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 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
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 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 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 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
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
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 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
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 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
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 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
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
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 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
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 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
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 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
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 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
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 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 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
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
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
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
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
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
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 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
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
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 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 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
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
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 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 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
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
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
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
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
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
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 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
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
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
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
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
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
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 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
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
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
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 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
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
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
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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 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 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
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
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
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
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
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
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
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
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
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 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 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 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 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
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 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
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
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
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
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
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
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
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
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
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 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
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
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
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
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 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
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
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
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
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
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 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
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
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 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
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
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
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
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
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
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