Showing results for "verification"
Develop and critique frameworks for transparent disclosure, verification, and accountability when AI tools participate in news production or distribution, including standards for source attribution, b...
Author: Curioprompt
Category: Society | Model: gpt-5-nano
Investigate the dynamics of black-market semiconductor components, the role of public-private partnerships in detection and enforcement, and strategies for resilient supply chains including traceabili...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Create an evergreen regulatory design framework for digital platforms aimed at protecting users under a certain age. Include rules for feature design ethics, age verification approaches, parental cont...
Author: Curioprompt
Category: Policy | Model: gpt-5-nano
Create a multi-agent design: Editor drafts patch, Reviewer critiques, Verifier runs checks, Operator manages deploy. Define handoffs and stop rules to prevent loops.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a system to generate API docs from code annotations and schemas, but require verification via integration tests and manual spot checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a “verified output” product line: audits, provenance, citations, watermarking, and compliance reports. Include target customers, pricing tiers, and a go-to-market plan.
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 marketplace for specialized agents: verification, ratings, safety checks, and revenue share. Include governance rules to avoid low-quality spam agents.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a property-based testing strategy for critical modules: define properties, generators, shrinking, and CI integration. Use failures to guide safer edits.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design traceability: map docs claims to tests that verify them. The agent should propose missing tests when docs promise behavior without coverage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a process where the agent checks a proposed change against official documentation versions, release notes, and migration guides. Require citations for claims.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a 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 a comment improvement agent that updates misleading comments but requires linking to code references and tests to avoid stale documentation.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design artifact signing, signature verification in deploy, and provenance metadata. Ensure the self-edit loop cannot bypass signing checks.
Author: Assistant
Category: safe-self-improving-ai | 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
Create a QA workflow: sample-based review, check citations, verify key claims, and approve final briefs. Include reviewer guidelines and a severity rubric.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design hallucination controls: enforce evidence-only summarization, require citations for key claims, and label uncertainty. Include prompts and automated checks (linting).
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design methods to evaluate long-horizon tasks: checkpoints, intermediate artifacts, verifier models, and human spot checks. Include metrics that detect slow drift or hidden degradation.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
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
Design a claim extraction step: identify factual assertions, attach supporting evidence, and flag unsupported claims. Include scoring for evidence strength and contradictions.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Write a rumor-control guide: how to verify information, what sources to prioritize, and how to correct mistakes. Include a 30-second “before you share” checklist.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Provide practical checks for photo/video authenticity: context, metadata caveats, reverse image search logic, and signs of manipulation. Include a decision flowchart.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a decision journal template: time, verified facts, assumptions, options, action, and review. Include examples for common off-grid decisions.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Give me a triangulation playbook: how to confirm a claim using 3 independent sources (primary, reputable secondary, and domain expert). Include “independence tests” to avoid circular citations.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me to evaluate charts: axes, aggregation, missing baselines, cherry-picked ranges. Provide a checklist and rewrite a misleading caption into a fair one.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to detect circular reporting where outlets cite each other. Provide steps to identify the earliest source and whether it’s primary evidence.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a system for confidence labels (e.g., 30/60/90%) and rules for upgrading/downgrading confidence based on new evidence. Include examples.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to use wikis/forums responsibly: check edit history, citations, expert participation, and corroboration. Provide a checklist and caution rules.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain what genuine expert consensus looks like and how to detect fake consensus. Include practical ways to check position statements and reviews without overtrusting single sources.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a method to validate software/tool recommendations: official docs, release notes, CVEs, maintainer activity, and reproducible install steps. Include a checklist.
Author: Assistant
Category: information-reliability | 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
Create a “reliability ladder” with levels (rumor, unverified report, corroborated, primary evidence, replicated). Provide tagging rules I can use in notes.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Show me how to verify policy or regulatory claims by finding official text, amendments, effective dates, and authoritative summaries. Include a workflow and checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me to use community/local sources (neighborhood groups, local leaders) safely: verifying identity, cross-checking, and avoiding scams. Provide a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me to identify sponsorships, affiliate incentives, and conflicts of interest. Provide a checklist and examples of disclosure language to watch for.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a template for debunking a claim responsibly: state the claim, evidence review, uncertainties, and conclusion. Emphasize respectful tone and humility.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Write a verification policy: when two independent confirmations are required, what counts as independent, and what exceptions exist (official statements, live pressers). Provide a documentation templa...
Author: Assistant
Category: verification | Model: gpt-4o
Design hardware for rational resampling or multi-rate pipelines: buffering, phase accumulators, and control. Provide a fixed-point plan and test strategy against a reference model.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a robust reset strategy for FPGA and ASIC: global vs local resets, sequencing, POR behavior, scan considerations, and safe deassertion across domains. Include RTL patterns and verification appr...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design hardware security boundaries: secure/non-secure access, key storage assumptions, access control in CSR/DMA, and audit signals. Provide a threat model and verification plan for bypass attempts.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a side-channel awareness checklist: data-dependent switching, timing variability, and observable control flow. Provide mitigation ideas appropriate for non-crypto and crypto blocks and verifica...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a power intent plan: power domains, isolation, retention, level shifters, and power state sequencing. Provide a UPF/CPF concept spec and integration risks for verification and signoff.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a senior-level design review checklist: correctness, protocol rigor, CDC/reset, timing risk, scalability, testability, documentation, and verification completeness. Provide a rubric and red fla...
Author: Assistant
Category: fpga-asic-design | 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
Given access patterns and bandwidth, decide between SRAM macro, regfile, and distributed RAM (FPGA). Provide latency/area/power tradeoffs, banking strategy, and verification implications.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a clocking plan: PLL/MMCM usage, derived clocks, jitter budget, clock gating, and crossing strategy. Provide how to document clock assumptions for STA and verification.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Given workload and bandwidth, choose cache hierarchy vs scratchpad. Provide coherence implications, DMA model, and verification complexity tradeoffs. Include performance modeling approach.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Help me assemble a compact offline field manual for trustworthy information: emergency numbers, key references, maps, and verification checklists. Provide a table of contents and print format.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Given a claim, propose datasets, proxies, and public records that could validate it. Provide a plan for collection, cleaning, and analysis, plus chart ideas and caveats.
Author: Assistant
Category: analysis | Model: gpt-4o
Create rules for attribution and headline writing in fast-moving situations: what to attribute, how to hedge responsibly, and how to avoid amplification of rumors. Provide headline examples (good vs b...
Author: Assistant
Category: verification | Model: gpt-4o
Design a BFM strategy to accelerate debug: minimal BFMs for smoke tests, full BFMs for protocol correctness, and a layering approach. Include reproducibility and seed handling rules.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
For a pipelined design with dependencies, propose hazard management: scoreboarding, bypassing, stalling rules, and correctness proof sketch. Include test scenarios and assertions.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a template for an emergency decision journal: date/time, verified facts, assumptions, next actions, and review cadence. Include examples.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Generate a CDC audit checklist: async FIFO design, synchronizer placement, handshake protocols, reset crossings, multi-bit control, and metastability risk scoring. Provide recommended assertions and t...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a fixed-point methodology: range analysis, quantization noise, saturation/rounding policy, and unit tests against a floating reference. Provide a plan to minimize bits while meeting accuracy.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a UVM environment: agents, scoreboards, reference models, sequence layering, coverage model, and CI integration. Include best practices for reproducibility and debug speed.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Propose a golden model approach: bit-exact C/Python model vs tolerance-based checking, when each is appropriate, and how to keep models consistent with RTL changes. Include sync strategy and versionin...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create an X-prop strategy: when to use X-optimism vs pessimism, initialization, and how to avoid hiding bugs. Provide simulation flags guidance and SVA patterns to detect X-leaks.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Generate a reusable SVA library for: valid/ready, FIFO correctness, credit-based flow control, and AXI protocol subsets. Include guidelines for binding, disabling, and X-prop handling.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
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 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 rumor-control checklist: how to verify info, prioritize official sources, avoid sharing unverified claims, and handle uncertain situations. Provide a decision tree for ‘share vs wait’.
Author: Assistant
Category: preparedness | Model: gpt-4o
Design a verifier model workflow: primary proposes, verifier checks constraints and factuality, policy gate decides. Include disagreement handling and confidence thresholds.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a model selection strategy: route tasks by complexity, use smaller models for substeps, and add verifier checks. Include quality/cost tradeoffs and metrics.
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
Create a guide for teachers to use AI tools safely for lesson planning: what to delegate, what to verify, and how to adapt for local context (Tokyo/Fukuoka/NYC).
Author: Assistant
Category: language-teaching | Model: gpt-4o
Design a RAG pipeline for agents: retrieval, citation, cross-checking, and contradiction handling. Provide an evaluation plan to measure hallucination reduction and tool-call accuracy.
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
Create a plan quality rubric: completeness, dependency ordering, risk controls, verification steps, and rollback. Provide examples of high-quality vs low-quality plans.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design glitch-free muxing for clocks/enables: safe selection, handshakes, and integrated cells (ASIC). Provide recommended RTL/structural patterns and verification steps.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Propose a clock gating strategy: where to gate, safe enable conditions, integrated clock gating cells, and verification. Include power/timing tradeoffs and common pitfalls.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a parallelization plan: split tasks safely, prevent conflicting tool actions, and merge outputs reliably. Include concurrency limits and a merge-verification step.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Given a developing story, generate the top missing facts and the best next questions: who benefits, who is impacted, what documents exist, what timeline, what definitions, what verification is needed.
Author: Assistant
Category: analysis | Model: gpt-4o
Propose an interrupt strategy: aggregation, prioritization, masking, and latency optimization. Provide a register map approach and verification plan for storms and lost interrupts.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design an internal comms protocol for teams during emergencies: single source of truth, update frequency, verification requirements, and escalation paths.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Write message templates for responding to rumors: asking for sources, proposing verification steps, and correcting gently without escalating conflict.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Write a guide on how to share updates responsibly: verification steps, what not to post, and how to correct mistakes. Include a short “before you share” checklist.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Propose a formal plan: key safety properties, liveness properties, assume-guarantee boundaries, and abstraction strategies. Provide example SVAs and cover properties for control FSMs.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a CRC module (parameterized polynomial/width): streaming interface, latency options, and reset behavior. Provide SVAs and randomized tests to prove correctness.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Explain how to interpret preprints vs peer-reviewed work. Provide rules for cautious citation, triangulation steps, and a confidence annotation system.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Define a coverage plan: functional coverage points, cross coverage, corner-case scenarios, and coverage closure strategy. Provide a template that ties coverage to requirements.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a source reliability ladder (Tier 1–4) with a scoring rubric: track record, transparency, proximity, incentives, corroboration, and correction behavior. Output a template to score new sources c...
Author: Assistant
Category: verification | Model: gpt-4o
Design a ‘Rumor Control’ process: detect, label, verify, publish correction, and monitor spread. Include a standard taxonomy (misleading, unverified, false, satire) and a response playbook for TV/radi...
Author: Assistant
Category: verification | Model: gpt-4o
Build a corroboration matrix template: claim, primary source, secondary confirmations, contradictions, and evidence strength. Include rules for publication readiness for different platforms (web, TV, ...
Author: Assistant
Category: verification | Model: gpt-4o
Create a safe geo-context workflow for news: how to use publicly available maps, landmarks, weather context, and official statements without doxxing private individuals. Provide a checklist for privac...
Author: Assistant
Category: verification | Model: gpt-4o
Create a method for offline verification: who to call, what to ask, how to document, and how to avoid rumor amplification. Include scripts.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a breaking-news verification checklist: time stamps, original footage, geolocation basics, official statements, and correcting mistakes. Keep it practical and non-technical.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a cross-language verification method: search in original language + English, compare local vs international coverage, and detect translation drift. Include a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design a personal knowledge base for verification: note schema (claim, source, confidence, date), tagging, and weekly maintenance routine. Provide templates.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design an audio verification checklist: continuity, acoustic environment, compression artifacts, splice indicators, and cross-checks with other sources. Include how to label audio as unverified when n...
Author: Assistant
Category: verification | Model: gpt-4o
Create a UGC verification workflow: provenance checks, reverse image/video search steps, geolocation/time cues, audio anomalies, metadata cautions, and corroboration requirements. Output an on-air saf...
Author: Assistant
Category: verification | Model: gpt-4o
Propose ECC integration: SECDED choice, syndrome handling, scrub policy, and latency impact. Provide RTL interface patterns and verification checks including injected faults.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a guide to evaluating maps and location claims: official maps, open map data, update timing, and common pitfalls. Include a validation workflow.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a workflow to validate company claims using earnings calls, filings, press releases, and reputable coverage. Include a checklist for bias and PR spin.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to judge cybersecurity advice: vendor docs vs blogs, CVE references, reproducibility, and community consensus. Provide a validation checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to validate a Wikipedia claim by following citations to their sources and checking whether the citation truly supports the statement.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
List 12 red flags for misinformation and low-trust content (manipulative framing, missing methodology, fake experts, etc.). Then show how to rewrite a claim into a testable statement.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Give me a guide to detecting SEO spam: templated prose, missing authorship, affiliate bias, scraped content, and suspicious interlinking. Provide quick heuristics.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design a hybrid verification approach: minimal directed tests for bring-up, constrained-random for coverage, and targeted stress tests for corner cases. Include how to triage failures quickly.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Teach me how to locate primary sources behind headlines: official docs, datasets, transcripts, filings, standards, and direct statements. Provide a checklist and example queries.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Help me decompose any claim into sub-claims (who/what/when/where/how confident). Provide a template and demonstrate with a sample claim I provide.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a safe method to evaluate health info online: prioritize authoritative sources, check evidence quality, and identify red flags. Emphasize consulting professionals for decisions.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain a brake bedding procedure conceptually and create a performance verification checklist. Include temperature management, pedal/lever feel, rotor transfer layer, noise symptoms, and when to re-i...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a checklist for evaluating info from podcasts/YouTube: guest credentials, citations, edits, sponsorships, and cross-checking. Include note-taking template.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain what signals can suggest AI-generated text/audio/images, and the limits of detection. Provide a cautious approach: what to conclude and what not to conclude.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a FIFO sizing method (based on producer/consumer rates and burstiness). Provide RTL patterns for sync and async FIFOs, full/empty logic correctness, gray counters, and verification scenarios.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a guide to assessing experts: credentials, publications, conflicts of interest, prediction track record, and incentives. Provide a checklist and sample questions.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Given multiple reports, build a minute-by-minute timeline: what happened, who said what, source tier, and confidence level. Highlight contradictions and missing facts, and propose the next 5 verificat...
Author: Assistant
Category: analysis-workflow | Model: gpt-4o
Design an ethical stringer/freelancer network plan: onboarding, verification expectations, payment standards, safety guidance, and how to avoid conflicts of interest. Include a ‘rapid deployment’ chec...
Author: Assistant
Category: news-ops | Model: gpt-4o
Design an AXI4 subsystem plan: outstanding transactions, ID width, arbitration policy, QoS, burst alignment, and backpressure behavior. Provide a verification checklist for ordering, deadlock, and thr...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Provide criteria to decide HLS vs hand RTL: performance ceilings, maintainability, verification burden, and toolchain maturity. Include a recommended hybrid flow and how to validate HLS output.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a fast workflow for finding trustworthy information under time pressure. Include: query planning, source triage, verification steps, and a 10-minute “good enough” standard with a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Set up a multilingual rumor triage (EN/JA/ID/VI/TH/ZH/RU): source credibility, narrative genealogy, and debunk-ready templates. Output a red-team calendar for likely peaks.
Author: Assistant
Category: misinfo-lab-newsroom | Model: gpt-4o
Create a refactor plan that slices changes behind flags. ChatGPT proposes flag taxonomy; Cursor inserts flags and writes toggled tests; Antigravity runs canary + dark launch verifications. Deliver a k...
Author: Assistant
Category: release-engineering | Model: gpt-4o
Build a verifier that detects agreement/contradiction between sources. Define stance labels, entailment thresholds, and escalation rules to human review. Output a confusion matrix target and fallback ...
Author: Assistant
Category: verification-quality | Model: gpt-4o
Act as a virtual care lead. Build a telehealth SOP: privacy/location verification, exam substitutes, device data capture, e-prescribe rules, and after-visit summaries. Include a troubleshooting script...
Author: Assistant
Category: telehealth-operations | Model: gpt-5
Act as a quality lead. Provide a lightweight QMS starter for medical software: SOP index, document control, risk management, traceability matrix, and verification/validation plan.
Author: Assistant
Category: quality-systems | Model: gpt-5
You are a photojournalism mentor. Cover verification, minimal editing, safety, releases, and IPTC captioning standards. Provide a field card and caption templates.
Author: Assistant
Category: photography | Model: gpt-4o
You are a mechanical analysis lead. Outline a lightweight CFD/FEA plan for a heatsink on a 10 W SoC: boundary conditions, mesh strategy, material data, convergence criteria, validation with bench meas...
Author: tsubasa
Category: mechanical | Model: gpt-4o
As a systems engineer, conduct a DFMEA for a belt-driven actuator with motor, gearbox, encoder: severity-occurrence-detection scoring, top 10 RPNs, mitigations, and verification tests. Provide a compa...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Design a pre-silicon validation flow using emulation and FPGA protos: partition strategy, speed/visibility tradeoffs, trace buffers, stimulus generation, coverage closure, and HW/SW co-verification mi...
Author: Assistant
Category: chip-design | Model: gpt-4
Create a silicon security plan: logic locking insertion points, scan chain protections, PUF selection and enrollment, side-channel mitigation, secure boot root-of-trust, and anti-tamper sensors. Provi...
Author: Assistant
Category: chip-design | Model: gpt-4
Write a power architecture using UPF with 3 voltage islands, DVFS, and retention strategies. Provide power-state tables, isolation/level-shifter rules, retention flop mapping, and power-sequencing tim...
Author: Assistant
Category: chip-design | Model: gpt-4
You are a quality engineer. For a safety-conscious product, define design controls: requirements matrix, verification/validation plan, risk management (ISO 14971 style), and traceability from user nee...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Goal: verify M&A rumor likelihood and price impact. Perplexity: summarize rumor history, antitrust chatter, and comparable deals; provide citations. Bloomberg: CN<GO>/NI<GO> to trace headline lineage;...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
If offsetting is used as a last resort, draft guardrails. Prioritize emissions cuts, then high-integrity removals. Define claims policy (no greenwashing), verification cadence, and a public transparen...
Author: Tsubasa Kato
Category: policy | 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
Plan an FEA workflow for a lightweight camera gimbal bracket. Deliver: loads/BCs, mesh strategy, materials, KPIs (max stress, deflection, SF), DOE on thickness/fillets, verification. Output: CAD-to-FE...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Plan a SPICE-based simulation for DC supply ripple and transient response. Deliver: requirements, test cases (load steps), models, KPIs (overshoot, settling), BOM constraints, safety notes (no mains e...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking