Showing results for "regression-alerts"
Create a safety regression suite for tool-using agents: prompt injection tests, permission misuse tests, and data leakage tests. Gate deployments on this suite.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a chaos testing approach limited to staging: inject failures, verify timeouts/circuit breakers, and ensure alerts fire. Require strict boundaries and approval.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that expands benchmarks as new features land: add workloads, track performance trends, and alert on regressions. Include benchmark governance.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a loop to detect memory leaks: reproduce with stress tests, capture heap snapshots, propose fix, and verify stability. Include regression tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design characterization tests for legacy code before refactoring: capture I/O behavior, edge cases, and performance baselines. Use them as a gate for changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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
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 a fraud/risk intelligence product concept: data sources, feature engineering, alerts, and human review. Include privacy and fairness considerations.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an always-on competitive intelligence product: tracking, summarization, and alerts with citations. Include pricing tiers for startups vs enterprise.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design enforcement: lockfile required, checksum verification, artifact signing, and dependency allowlists/denylists. Include alerting on suspicious updates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a literature scout product: topic watchlists, daily digests, novelty detection, and gap identification. Include target users and monetization (individual vs lab vs enterprise).
Author: Assistant
Category: future-monetization | Model: gpt-5.2
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 an agent that turns bug reports into minimal reproducible cases, adds regression tests, and proposes fixes. Include a triage rubric and severity mapping.
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 golden tests for key outputs and an agent that compares before/after behavior. Include tolerance rules and how to prevent “golden drift” over time.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a freshness strategy for research: recency-aware search, change detection, and update alerts. Include how to present “as of” dates and avoid outdated claims.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a safety regression suite: prompt injection tests, data leakage tests, refusal/guardrail tests, and policy adherence checks. Include how to maintain and evolve the suite over time.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a post-mortem template tailored to AI regressions: data/prompt/model diffs, evaluation gaps, monitoring misses, and remediation tasks. Include a ‘lessons to tests’ section.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a hallucination reduction plan: retrieval augmentation, answer verification steps, consistency checks, and refusal behaviors. Include evaluation metrics and regression tests.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a sanitization pipeline for retrieved content: strip instructions, isolate quotes, and prevent tool-use hijacks. Include adversarial test cases and regression suite.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design defenses against prompt injection for tool-using agents: content provenance, allowlists, tool policy, and sandboxing. Include a suite of adversarial prompts for regression testing.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Define monitoring signals: policy violations, anomaly detection, tool misuse attempts, unusual output distributions, and drift. Provide alert thresholds, runbooks, and an on-call playbook.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Plan an alert system: define watchlists, schedule searches, diff results, and send notifications. Include dedupe, false positive controls, and ‘significance’ scoring.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Help me build a trustworthy alerts stack: RSS, email alerts, official feeds, and curated newsletters. Include criteria for selecting sources and avoiding overload.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design layered guardrails: policy rules, tool allowlists, output filters, and human escalation. Include regression tests to prevent guardrail drift during iterations.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a CI pipeline for hardware: lint rules, CDC checks, reset checks, basic formal proofs, and regression simulation tiers. Include pass/fail gates and artifact retention for debug.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Define SLIs/SLOs for agents: task success, tool failure rates, safety violations, latency, and cost. Provide a dashboard layout and alert thresholds.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Provide a phone readiness checklist: emergency alerts, battery optimization, offline maps, important contacts, medical ID, and a “low power” routine.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Design a fare alert system: routes to monitor, thresholds, alert frequency, and what counts as a ‘buy’ signal. Include a spreadsheet schema for tracking prices and notes.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a strategy for monitoring reliable information during emergencies: official sources, local alerts, rumor filtering, and a checklist to verify claims before sharing.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Provide a method to anticipate demand spikes (sports, concerts, conferences). Include how to track event calendars and set alerts, plus fallback routing strategies.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create operational runbooks: common failures, triage steps, rollback, and user comms. Include SLO breaches, tool outages, and prompt regressions.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a crisis monitoring plan: sentiment shifts, complaint volume, supply chain chatter, regulator mentions, and employee signals. Provide escalation thresholds and a comms ‘holding statement’ decis...
Author: Assistant
Category: news-ops | Model: gpt-4o
Explain dynamic pricing drivers: demand, inventory, competition, holidays, and schedule changes. Provide a calm strategy to respond: alerts, thresholds, and ‘buy when’ rules.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a flood readiness guide: understanding local flood risk, simple home protections, safe travel choices, and a calm evacuation checklist. Emphasize official alerts and practical steps.
Author: Assistant
Category: preparedness | Model: gpt-4o
Create a price monitoring system for flights and trains: fare alerts, target prices, booking windows, holiday demand, and buy/hold decision rules. Include a spreadsheet schema.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Design a real-time alerting system for breaking news: keyword sets, entity lists, source tiers, velocity thresholds, and de-duplication rules. Provide a triage workflow (green/yellow/red) and a playbo...
Author: Assistant
Category: news-ops | Model: gpt-4o
Create an eval-first LLMOps design: golden sets, adversarial tests, continuous regression, cost/latency tracking, and release gates. Include a ‘model change control’ policy.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Generate a consistent sci-fi HUD overlay style (original): alerts, graphs, readouts. Provide prompt to create overlay frames plus rules for keeping text legible.
Author: Assistant
Category: design-assets | Model: gpt-4o
Create a triage playbook: alert enrichment, false positive filters, incident severity, and closure checklist. Include a sample ticket flow.
Author: Assistant
Category: operations-runbook-cyber | 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
Track AML/KYC enforcement, cross-border fraud, and fintech shutdowns. Provide consumer alerts and regulatory timelines.
Author: Assistant
Category: financial-crime-coverage-APAC | Model: gpt-4o
Implement per-tenant and per-feature budgets: rate limits, max prompt length, and fallback models. Provide business rules and alerts to prevent runaway spend.
Author: Assistant
Category: finops-LLM | Model: gpt-4o
Given a product brief, have ChatGPT write acceptance criteria and test outlines, ask Cursor to generate unit/integration tests and the minimal code, then let Antigravity agents execute the suite and o...
Author: Assistant
Category: quality-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
Build an eval that scores ground-truth attribution (exact passage match), answer faithfulness, and coverage. Provide dataset schema and a nightly regression plan.
Author: Assistant
Category: evaluation-frameworks | Model: gpt-4o
Define performance budgets and benchmarks; ChatGPT proposes profiling plan; Cursor instruments code (e.g., pprof/Flamegraphs); Antigravity runs load tests, flags regressions, and files targeted PRs. O...
Author: Assistant
Category: performance-engineering | Model: gpt-4o
ChatGPT sets cost KPIs and alerts; Cursor instruments usage/cost tags; Antigravity correlates deploys to spend and suggests optimizations. Provide a monthly FinOps review.
Author: Assistant
Category: cost-optimization | 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
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
ChatGPT outlines blue/green and canary strategies; Cursor codifies health checks and probes; Antigravity automates traffic shifting and alerting. Provide a failure playbook.
Author: Assistant
Category: availability-engineering | Model: gpt-4o
ChatGPT drafts prompts and adversarial tests; Cursor integrates an eval harness; Antigravity schedules nightly evals and posts regressions with diffs. Include versioning and approval flow.
Author: Assistant
Category: mlops-llm-quality | Model: gpt-4o
Define a modular avionics stack (navigation, comms, flight control computers) and a pilot HMI for single-pilot ops. Provide alerting philosophy, failure modes, and a training outline.
Author: Assistant
Category: avionics-systems | Model: gpt-4o
Design a metrics tree from a north star metric to instrumented events. Add anomaly alerts and weekly storytelling format.
Author: Assistant
Category: data-product-ops | Model: gpt-4o
Produce a unit economics model: COGS/BOM, cloud cost per user, CAC/LTV by region, and budget guardrails with variance alerts.
Author: Assistant
Category: financial-planning-ops | Model: gpt-4o
Act as a safety brief. Provide a quick guide for emergencies: alert apps, evacuation signage, meeting points, and what to do in a quake on trains or streets. Include emergency numbers cheat sheet.
Author: Assistant
Category: safety-brief | Model: gpt-4o
Act as a meta-analyst. Provide a DerSimonian–Laird vs REML plan, heterogeneity measures, subgroup/meta-regression, and publication bias checks (funnel/Egger/trim-and-fill).
Author: Assistant
Category: biostats-methods | Model: gpt-5
You are an embedded AI lead. Design an edge pipeline for POC devices: on-device inference, quantization, latency budgets, offline fallback, and remote update policy. Include safety/alerting tests.
Author: Assistant
Category: medical-devices-ICT | Model: gpt-5
You are a neuro hospitalist. Create a door-to-needle guide: pre-alert script, FAST-ED/NIHSS quick steps, imaging/contraindications checklist, thrombolysis vs EVT criteria, and post-lytics monitoring. ...
Author: Assistant
Category: neurology-acute | Model: gpt-5
You are a comms pro. Draft pre-approved messages for delays: internal team alert, client note, and manager update. Include a decision tree when to switch to remote participation.
Author: Assistant
Category: communication | Model: gpt-5
You are a wellness coach. Create a discreet train-friendly breathing and posture routine: 4-7-8 cycles, box breathing, micro-stretches, and eye-relaxation. Provide a 7-minute script and alert cues.
Author: Assistant
Category: wellness | Model: gpt-5
Act as a broadcast TD. Design scenes for BRB, full-screen, picture-in-picture, media review, and game capture; hotkeys; stream delay; low-latency settings; alert routing; and VOD-safe tracks.
Author: Assistant
Category: creator | Model: gpt-4o
Define a push-button signoff pipeline: reproducible EDA containers, golden rule decks, regression checklists, run orchestration, artifact retention, and ECO automation for timing/IR/DRC. Output a CI/C...
Author: Assistant
Category: chip-design | Model: gpt-4
Provide a timing ECO guide: buffer sizing rules, cell Vt swaps, re-route constraints, shielding for aggressors, hold-fix ordering, and checks to avoid IR/EM regression. Include a before/after metrics ...
Author: Assistant
Category: chip-design | Model: gpt-4
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
Act as a platform owner. Create cloud cost guardrails: budgets, alerts, tagging policy, autoscaling defaults, storage lifecycle rules, reserved/savings plan strategy, and a monthly FinOps review check...
Author: tsubasa
Category: engineering | Model: gpt-4o
Create rules to triage emails: label, route, SLA timers, and VIP alerts. Include regex-like filters, edge cases, and a weekly review checklist. Return as a table.
Author: Curioforce Corp. Corp.
Category: Small Business Automation | Model: gpt-5-thinking
Define health metrics (active members, comment velocity, quality flags). Set alert thresholds and remediation steps.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Goal: deploy real-time anomaly detection and alerting. Data: streaming events and KPIs. Steps: 1) Forecast baselines with ETS/Prophet; 2) Residual monitoring with robust z-scores; 3) Alert playbooks; ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
List risks for {{AI_use_case}} (medical/fitness/environmental). Design mitigations: human-in-the-loop, disclaimers, confidence prompts, and fail-safes. Add an evaluation plan with red-team tests and m...
Author: Tsubasa Kato
Category: risk | Model: gpt-5-thinking
For {{infrastructure}} define water impact and reductions. Cover: cooling strategies, recirculation, leak detection, and drought-mode ops. Set WUE targets and alerting rules. Provide a retrofit plan f...
Author: Tsubasa Kato
Category: infrastructure | Model: gpt-5-thinking
Design a digital twin of the yard and transport to dealers. Deliver: VIN geo-tag, dwell heatmaps, truck/rail slotting, damage photo chain, carrier KPIs, and exception alerts. KPIs: dwell ↓, damage %, ...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Plan a benign simulation for cold-chain monitoring. Deliver: sensor placement, sampling rates, alert thresholds, route geofences, and re-pack SOP. KPIs: time-out-of-range, spoilage proxy. Output: dash...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Plan a mode/route optimizer. Inputs: lanes, SLAs, cost, CO₂ factors. Deliver: heuristics vs solver, mode swaps, consolidation rules, and exception alerts. KPIs: OTIF, cost/kg-km, emissions proxy. Outp...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Create a demand-sensing plan using POS, weather, promos (privacy-safe). Deliver: feature map, lag tests, backtest protocol, and guardrails. KPIs: MAPE ↓, bias ↓, alert precision ↑. Output: weekly cade...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Act as a datacenter reliability lead. Deliver a 4-week plan to cut incidents and MTTR: (1) Map assets (racks, PDUs, BMC/IPMI, switches) and create a golden-rack baseline (airflow, temp, load). (2) Bui...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Be a supply chain analytics lead. Create a control-tower simulator spanning demand, supply, and logistics. Deliver: drivers (promo, seasonality, lead-time variance), policies (ROP/ROQ, MOQ, ATP), scen...
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
Build a FinOps plan for AI: unit economics per task, cost alerts, usage quotas, fallback models, and A/B testing harness. Output dashboards (tasks/hour, cost/task, quality), run-book for anomalies, an...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Act as a calm, practical emergency helper for civilians during wide cellular/data outages. Aim: avoid danger, evacuate early, maintain contact. Inputs: scenario, location, environment, companions, con...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Guide civilians through extended power loss. Focus: avoid secondary hazards, conserve power, keep contact cadence. Actions: avoid candles (use flashlights), ventilate generators outdoors, check CO ala...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Be a concise emergency helper during regional network failures. Priorities: avoid hazards, maintain coordination, contact authorities. Inputs: scenario, city/area, environment, companions, constraints...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Large event with overloaded networks. Priorities: avoid crush risks, keep group cohesion, plan exits. Comms: preset check-ins; SMS with exact landmark; use event info boards to leave notes. Hydrate; r...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Role: CIVSAFE for severe weather (typhoon, flood, landslide) in Japan. Before: secure loose items; charge phones; prepare water, meds, lights; check hazard maps and evacuation advisories. During: stay...
Author:
Category: | Model:
You are CIVSAFE for large-scale internet/cellular outages. Goal: keep people coordinated, calm, reachable. Inputs: scenario, location, companions, constraints (battery/signal), intent. Output: SAFE-BR...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
You are CIVSAFE, a calm, practical copilot for civilians in emergencies. Aim: avoid danger, evacuate early, call authorities. Never give offensive or illegal tactics. Inputs: scenario, location_countr...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Role: CIVSAFE for quake/tsunami (Japan-optimized). If shaking: Drop, Cover, Hold On; stay indoors until it stops; avoid doorways/elevators. After: check gas, stairs, structural cracks; expect aftersho...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
In the last 24 hours, summarize key developments for {{ticker}} ahead of its earnings call on {{date}}. Include: price moves, options IV, top headlines, analyst estimate deltas, unusual volume, social...
Author: Tsubasa Kato
Category: Finance | Model: gpt-5
Scan deals closing this month in {{crm}} for movement in last 48h. Report: slipped stages, push reasons, blockers, exec asks, new champions. Include top 5 at-risk deals with owner and next step by dat...
Author: Tsubasa Kato
Category: Sales | Model: gpt-5
Design a continuous competitive intelligence loop using AI to summarize releases, pricing shifts, and reviews. Provide alerting rules and battlecard updates cadence.
Author: ChatGPT
Category: business | Model: gpt-5