Showing results for "surface code"
Explore policy design for accelerating distributed energy adoption, focusing on rooftop solar and grid integration. Compare instruments such as codes, incentives, financing mechanisms, and regulatory ...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Examine the difference between headline economic growth and the underlying health of an economy. Consider how export ambition, tax collections, consumer spending, agricultural shocks, and business cre...
Author: Curioprompt
Category: Business | Model: gpt-5.4-mini
Develop a resilience plan for a densely populated country exposed to major earthquakes and secondary hazards such as landslides, transport disruption, power loss, and communication outages. Identify t...
Author: Curioprompt
Category: Society | Model: gpt-5.4-mini
You are an expert science writer and systems thinker. Explain how discoveries on the deep-ocean floor can reveal long-term carbon storage, ancient ecosystems, and geological processes that are otherwi...
Author: Curioprompt
Category: Science | Model: gpt-5.4-mini
You are an expert science writer and systems thinker. Explain how discoveries on the deep-ocean floor can reveal long-term carbon storage, ancient ecosystems, and geological processes that are otherwi...
Author: Curioprompt
Category: Science | Model: gpt-5.4-mini
Design a framework for safeguarding children in the digital realm that balances access to information with protection from harmful content and privacy risks. Address age-appropriate content controls, ...
Author: CurioPrompt
Category: Technology | Model: gpt-5-nano
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 a plan for coding standards that includes auto-fixers (formatters) and a “fix-it PR” bot, with reviewer load controls and staged rollout.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a doc search agent that indexes internal docs, code comments, and ADRs, then answers “why is this here?” with citations for maintainers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design ownership enforcement: CODEOWNERS mapping, required reviewers per module, and automatic routing. The agent must not merge without required approvals.
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 explicit stop rules: max iterations, max diff size, max retries, and “ask human” triggers. Include monitoring for loop detection and runaway behavior.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a formatting agent that guarantees no semantic change: parse/print equivalence, tests, and diff classification. Include a strict policy for format-only PRs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a sandbox spec: network isolation, filesystem constraints, resource limits, and safe temp dirs. Include how MCP tool wrappers enforce the sandbox.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an incremental modernization strategy (language/runtime upgrades) with compatibility tests, staged rollouts, and metrics. Include “stop if risk” criteria.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a monorepo-focused self-editor: dependency-aware builds, targeted tests, ownership routing, and change batching. Include safeguards against large blast radius.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that updates docs alongside code changes: API docs, READMEs, and changelogs. Include a doc quality checklist and link validation.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a research agent that uses search APIs and page fetchers to gather evidence for a proposed code change. Require citations and source quality scoring.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that ingests postmortems and incident tickets, extracts recurring causes, and proposes preventative code/monitoring changes. Require human review.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that writes tests before code changes, targets uncovered branches, and proves coverage deltas. Include mutation testing as a safety check.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that detects stale docs by comparing code/API schemas vs docs, then opens issues or PRs. Include a freshness score and SLA.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a plan for generating API clients: typed SDKs, version pinning, integration tests, and docs. Include a policy against generating unsafe dynamic code.
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 a constrained codegen system: templates, typed interfaces, and lint rules that prevent unsafe patterns. Include a “reject list” of disallowed code constructs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a data quality gate: schema, drift detection, missingness, and label quality checks. Integrate with self-improving code changes to ML pipelines safely.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create 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
Create a confidence scoring model for proposed changes based on tests passed, diff risk, code area criticality, and evidence quality. Use it to decide automation level.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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
Create an opportunity map of 50 markets transformed by AGI-level abundance (labor, knowledge, design, code). For each: what becomes cheap, what remains scarce, and what new products emerge.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an agent network connected via MCP: research agent, code editor, test agent, verifier, and deploy operator. Include message schemas, permissions, and stop rules.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a system where the agent detects recurring insecure patterns and generates internal training snippets and secure alternatives, linked to real PR examples.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Explain defensibility strategies when code and design are cheap: distribution, data rights, integrations, brand trust, regulatory advantage, and physical-world constraints. Provide examples.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create an agent that infers code style from the repo (naming, patterns, architecture) and generates a style guide. Use it to validate future edits.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design UI improvements for reviewing AI-made diffs: risk highlighting, test evidence, and “what changed semantically.” Include A/B testing plan for reviewer speed/accuracy.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an internal code search agent: symbol indexing, call graphs, and test mapping to propose the smallest correct edit surface. Include caching and explainability.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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 review prompts that guide humans: “check invariants,” “check auth,” “check rollback.” Tune them based on escaped defects and reviewer feedback.
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 a dashboard that drives the agent’s priorities: complexity, test coverage, error hotspots, dependency risk, and SLOs. Include alert thresholds and weekly reports.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a 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
Create a strict policy for edits to auth code: mandatory human review, extra tests, formal checks, and staged rollout. Include “never auto-merge auth changes.”
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a dead-code removal agent: identify unused code, verify no runtime references, remove incrementally, and monitor. Include rollback if hidden dependencies appear.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a safe loop where the AI proposes code changes: unit tests, static analysis, security scans, human review, and staged deployments. Include stop rules and rollback plans.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a security checklist for gamers: 2FA, password manager, recovery codes, phishing awareness, and platform privacy settings. Include a routine to keep accounts safe with minimal effort.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design a writing feedback workflow for teachers: minimal marking, codes, targeted comments, and revision cycles. Include examples for ESL and Japanese writing.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Design an academic writing support plan: thesis statements, cohesion devices, paragraph structure, and citation basics. Provide exercises and feedback codes.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Provide RTL coding patterns that enable retiming: avoiding unnecessary async resets, minimizing combinational loops, using clear pipeline boundaries. Include examples and pitfalls.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design MCP tool schemas: typed inputs/outputs, explicit error codes, idempotency rules, and logging fields. Provide examples of good vs bad schema design for agent reliability.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a tire strategy for cars, motorcycles, or bicycles based on surface, load, weather, speed, and ride goals. Include pressure tuning, wear reading, heat signs, casing choice, and replacement crit...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Help me diagnose NVH symptoms in a vehicle. Ask for speed, load, RPM, gear, road surface, temperature, and recent work. Then produce likely causes, priority tests, and confirmation methods for cars, m...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a beginner DSP mini-lab: implement a simple EQ, compressor, and reverb conceptually. Provide reading list, step-by-step tasks, and how to validate outputs with test tones.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Create a 20-second transformation reel concept (room makeover, code refactor visual metaphor, skill progress). Provide 3 variants and prompts for each stage.
Author: Assistant
Category: creator-format | Model: gpt-4o
Design a repeatable 20-second template series (10 episodes) where each episode teaches one concept (stats, coding, finance). Provide the master prompt and per-episode placeholders for Sora and Gemini.
Author: Assistant
Category: series-template | 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
Implement basic query parsing: tokenization, phrase detection, and entity hints. Evaluate on provided queries and report precision/recall.
Author: Assistant
Category: coding-assignment-IR | Model: gpt-4o
Assemble a micro-influencer plan in Jakarta: 24 creators (food, tech, study), fee bands, promo codes, and lift model to keep ≥70% predicted engagement.
Author: Assistant
Category: creator-growth-ops-SEA | Model: gpt-4o
Create a senior-grade eval battery: reasoning (math/code), instruction-following, safety, multilingual QA, and tool-use. Include uncertainty intervals and power analysis for A/Bs.
Author: Assistant
Category: evaluation-design-LLM | Model: gpt-4o
Build a pre-market heatmap for Asia/ASEAN showing overnight moves (equities, FX, rates, oil, LNG spot), top policy headlines, and a 6-bullet risk radar. Output a one-page table with color-coded deltas...
Author: Assistant
Category: newsroom-ops | Model: gpt-4o
Design a pipeline to mine high-quality instructions/solutions from forums, docs, and code. Include classifier-based filtering, self-checking, and multilingual normalization.
Author: Assistant
Category: dataset-engineering-LLM | 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 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
Act as a delivery lead. Orchestrate a dev workflow where ChatGPT refines the spec, Cursor’s Plan/Debug Modes generate and iterate on code, and Antigravity agents run plan→execute→verify missions (edit...
Author: Assistant
Category: dev-workflow | Model: gpt-4o
ChatGPT authors OpenAPI/AsyncAPI contracts; Cursor code-gens server stubs/SDKs and adds contract tests; Antigravity spins up mocks and runs compatibility checks. Output versioning policy and deprecati...
Author: Assistant
Category: api-engineering | Model: gpt-4o
ChatGPT drafts Architecture Decision Records using a template; Cursor links ADRs to code areas; Antigravity checks ADR tags on PRs. Provide a monthly ADR review cadence.
Author: Assistant
Category: architecture-governance | Model: gpt-4o
Draft a PR reviewer flow: ChatGPT summarizes diffs and intent; Cursor leaves inline suggestions and auto-fix commits; Antigravity validates tests and risk scores before merge. Output a reviewer rubric...
Author: Assistant
Category: code-quality | Model: gpt-4o
ChatGPT builds a rubric (security/data paths higher scrutiny); Cursor enforces templates/checklists; Antigravity blocks merges on missing signals. Output training snippets.
Author: Assistant
Category: quality-governance | Model: gpt-4o
Define surfacing requirements for a premium sedan: target Cd/CdA, front area, grille shutters, diffusers, wheel aero, and sealing. Provide CFD checkpoints and a clay-to-CAD workflow.
Author: Assistant
Category: exterior-design-aero | Model: gpt-4o
Create a timeboxing plan for a busy professional juggling meetings, coding, and email. Include color-coded categories, overflow buffer rules, and a Friday retrospective format. Export as a CSV for Goo...
Author: Assistant
Category: time-management | Model: gpt-4o
Collect logs/incidents; ChatGPT drafts a blameless postmortem; Cursor queries log/trace snippets and links to code; Antigravity reconstructs a timeline and verifies action items land in code/config. P...
Author: Assistant
Category: reliability-ops | Model: gpt-4o
ChatGPT defines style/convention rules; Cursor runs auto-fixes (format/import/order); Antigravity enforces in CI and opens weekly hygiene PRs. Include opt-out rules.
Author: Assistant
Category: code-hygiene | Model: gpt-4o
ChatGPT converts PR changes into docs; Cursor updates MDX/diagrams; Antigravity verifies links/examples and deploys docs site previews. Include contribution guidelines.
Author: Assistant
Category: documentation-ops | Model: gpt-4o
Design a workshop where an aircraft, car, and magazine designer exchange methods (aero surfacing, ergonomic packaging, typographic rhythm) to inspire a new concept. Output agenda, exercises, and deliv...
Author: Assistant
Category: creative-collaboration | Model: gpt-4o
ChatGPT designs role-specific coding tasks and rubrics; Cursor generates harnesses/tests; Antigravity runs auto-grading in sandboxes. Provide anti-cheat and fairness notes.
Author: Assistant
Category: talent-engineering | 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 summarizes modules and ownership; Antigravity agents compute churn/complexity; Cursor annotates hotspots with TODOs and tests. Output a top-10 refactor list.
Author: Assistant
Category: code-intelligence | Model: gpt-4o
Use Cursor’s visual editor to propose UI tweaks, ChatGPT generates design-token updates and a11y copy, Antigravity snapshots and runs visual diffs to ensure no unintended changes. Deliver a review pac...
Author: Assistant
Category: frontend-productivity | Model: gpt-4o
ChatGPT designs API surface and language idioms; Cursor generates SDKs for JS/Python/Go and examples; Antigravity publishes packages and runs smoke tests. Provide versioning rules.
Author: Assistant
Category: developer-relations | Model: gpt-4o
Compare competitors’ API surface, rate limits, partner galleries, and rev share. Identify ecosystem dependency risks and opportunities for us.
Author: Assistant
Category: platform-strategy | Model: GPT-5.1
Identify top constraints to developer velocity and propose experiments across CI time, test flake, code review, and environment drift. Output target benchmarks.
Author: Assistant
Category: engineering-productivity | Model: gpt-4o
Create a station-by-station test plan (ICT/FCT/EOL), yield dashboards, failure Pareto, and stop-ship criteria. Provide bilingual defect codes legend.
Author: Assistant
Category: factory-test-engineering | Model: gpt-4o
Define a TW/US VoC pipeline: NPS/CES/CSAT surveys (EN + zh-TW), interview cadence, theme coding, and product feedback loop into roadmap.
Author: Assistant
Category: customer-insights | Model: gpt-4o
Design a feedback mechanism: telemetry (opt-in), repair codes, NPS, and sales insights feeding into quarterly product council decisions for TW/US.
Author: Assistant
Category: product-operations | Model: gpt-4o
Plan a 2-3 day ADV loop: mixed surfaces, fuel stops, camp spots, and weather alternates. Output GPX waypoints with descriptions and mileage.
Author: Assistant
Category: motorcycle-routing | Model: gpt-4o
Build a 1-2 night bikepacking plan: route grade %, surface mix, water resupply, soft bags vs racks, and repair kit specifics. Export pack list CSV.
Author: Assistant
Category: bikepacking-planning | Model: gpt-4o
Build a CLI to lint .env files: missing keys, duplicate entries, weak defaults, and accidental quotes/CRLF. Flags: --schema .env.example, --fix, --export powershell|bash. CI-friendly exit codes.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Write a CLI to serve a folder with basic auth, range requests, and QR code for the URL. Uses Python/PowerShell/.NET depending on OS. Flags: --port, --read-only, --browse.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Build a CLI that converts markdown to PDF/Reveal.js slides using pandoc. Supports theme selection, code highlighting, and toc. Flags: --pdf, --slides, --template, --watch.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Build a wrapper around ripgrep/findstr/grep that sets smart defaults: ignore node_modules, binaries; show context; include hidden if asked. Flags: --lang, --glob, --json, --stats.
Author: Assistant
Category: cli-tool | Model: gpt-4o
You are a documentation coach. Provide specialty-agnostic SOAP templates with PE mnemonics (HEENT/CV/RESP/ABD/NEURO/MSK/SKIN), normal/abnormal phrasing, and common modifiers. Add smart-phrases for EHR...
Author: Assistant
Category: clinical-education | Model: gpt-5
You are a terminology specialist. Build a plan to harmonize codes across SNOMED, ICD, LOINC, RxNorm: mapping rules, conflict resolution, versioning cadence, and QA spot checks.
Author: Assistant
Category: health-IT | Model: gpt-5
Act as logistics lead. Provide a checklist for shipping exhibits: HS codes, carnets, insurance, arrival deadlines, and on-site drayage. Add a “lost crate” contingency plan.
Author: Assistant
Category: trade-show | Model: gpt-4o
Act as a coding partner. Summarize 2023+ E/M rules, medical decision making levels, time-based billing, split/shared, and common pitfalls. Provide quick templates aligned to levels.
Author: Assistant
Category: practice-management | 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 document coach. Provide a method to review contracts and docs on mobile: heading map, comment codes, risk highlights, and 'approve/block' criteria. Deliver a one-page SOP.
Author: Assistant
Category: legal-ops | Model: gpt-5
Act as a mentor. Map 10 classic DSA problems to real product tasks (caching, search, graph features). Provide project ideas, metrics, and code-review checklists.
Author: Assistant
Category: education | Model: gpt-4o
Act as a mentor for students new to AI. Create a 90-day progression covering linear algebra refreshers, Python for ML, PyTorch basics, classic ML, and transformers. Include weekly goals, reading links...
Author: Assistant
Category: education | 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
You are a mechanical cost engineer. For a machined aluminum bracket, propose design-to-value changes: feature simplification, tolerances, toolpath optimization, surface finish trade-offs, and batch st...
Author: tsubasa
Category: mechanical | Model: gpt-4o
You are a mechanical lead. Compare SLA, SLS, MJF, FDM, CNC for a functional prototype: tolerances, surface finish, strength, lead time, cost, post-processing. Recommend path to EVT/DVT with gate crite...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Map out a growth hack using micro-influencers across European markets. Recommend selection criteria, outreach scripts in major languages, campaign structures (trials, promo codes, affiliate links), me...
Author: Assistant
Category: growth-hack | Model: gpt-4
Draft an Investment Policy Statement (IPS) builder for London private wealth linked to FX Global Code alignment plan. Include risk profile, liquidity needs, constraints, asset mix bands, review cadenc...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Sketch a high-level resource estimation: logical qubits, code distance, T gate count, and runtime for a toy algorithm. Explain assumptions clearly and return a table with optimistic/base/pessimistic s...
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Create rules to auto-code expenses to GL accounts with confidence scores. Include exceptions (per-diem, mixed receipts) and a sampling audit. Output as JSONL examples.
Author: Curioforce Corp. Corp.
Category: Small Business Automation | Model: gpt-5-thinking
Outline a VQE workflow for estimating ground state energy of a small molecule. Specify ansatz choices (UCCSD vs hardware-efficient), mapping (Jordan–Wigner/Bravyi–Kitaev), optimizer options, and stopp...
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Create a process flow diagram in Mermaid that highlights bottlenecks and rework loops. Include annotations for cycle time and WIP. Provide example code and a legend.
Author: Curioforce Corp. Corp.
Category: Industrial Visualization | Model: gpt-5-thinking
Propose a lightweight referral program: unique codes, shoutouts, tiered rewards. Provide sample posts, Stories, and DM scripts to activate referrers.
Author: Inspire Search Corp.
Category: Growth | Model: gpt-5-thinking
Goal: surface Japan small/mid‑cap opportunities with catalysts. Perplexity: find activist campaigns, governance reforms, and local press mentions; provide links. Bloomberg: EQS<GO> filters (market cap...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: read options positioning and gamma exposure for {INDEX}/{TICKER}. Perplexity: gather recent commentary on dealer positioning and key strikes. Bloomberg: OMON<GO> surface; HP<GO> open interest an...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: assess volatility regime and tail‑risk pricing. Perplexity: compile narratives on VIX, MOVE, skew, and realized vs implied. Bloomberg: OMON<GO> for options surface; HP<GO> for realized vol; GP<G...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Given the code, identify 3 likely bugs and 3 improvements (readability, performance, security). Provide a minimal diff and a short rationale for each change. Code: {{code}}.
Author: ChatGPT
Category: Coding | Model: gpt-5
Design 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 Python script to create and optimize a quantum circuit implementing Shor's algorithm for factorizing large numbers. Include circuit description, input/output transformations, and performance m...
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
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
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
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 a harmless SIR/SEIR toy simulation for campus flu dynamics using public, anonymized stats. Deliver: scope, compartments, equations, parameters to estimate, scenarios (mask uptake, class density),...
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
You are a senior AI debugger. Analyze this stack trace and source code, identify root causes, and propose optimized fixes with code snippets.
Author: [email protected]
Category: Software Development | Model: GPT-5
Using last 24h data for {{segment}}, surface churn signals: cancellations, NPS drops, failed payments, key accounts at risk. Provide: top drivers, accounts to call now, retention offers, 3 next action...
Author: Tsubasa Kato
Category: Growth | Model: gpt-5
Outline a shoppable livestream plan for Amazon Live, Rakuten, and YouTube Live. Include show formats, run-of-show, promo codes, inventory sync, and real-time moderation.
Author: ChatGPT
Category: business | Model: gpt-5
Design a store-traffic program using localized ads, store locator SEO, and promo codes to measure offline lift across regions.
Author: ChatGPT
Category: business | Model: gpt-5
Generate a 12-second 4K, 24fps cinematic video of pale-pink sakura petals drifting along a clear mountain river at golden hour. Camera: slow gimbal dolly from low angle across water surface, shallow d...
Author: Assistant
Category: Nature | Model: Sora
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
Act as a pro senior software engineer. Please review the following code, identify potential issues, suggest optimizations, and recommend performance improvements:
Author: [email protected]
Category: Job title | Model:
Research the growing market for low-code/no-code development platforms. Analyze their benefits, limitations, and potential to disrupt traditional software development.
Author: Business Analyst
Category: Technology | Model: GPT-4
If so, how reliable is its code, and should I test it carefully?
Author: Community
Category: Technical Use Cases | Model: GPT-4