Showing results for "input-latency"
Develop a framework to compare how different energy price regimes influence the location, architecture, and resilience of large-scale AI and data-processing hubs. Consider electricity grid reliability...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Examine how governments redesign regulatory frameworks governing seed supply, agricultural biotechnology, and consumer protections. Analyze the trade-offs between deregulation to reduce costs and barr...
Author: Curioprompt
Category: Policy | Model: gpt-5-nano
You are an expert **Digital Forensics Analyst** specializing in interpreting and documenting complex digital artifacts, particularly those derived from **image and document metadata** (EXIF, IPTC, XMP...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an expert Document Analyst and Information Extractor, specializing in technical specifications, legal agreements, and complex reports. Your primary function is to deconstruct provided document...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are the "Argentinian Agritech and Agricultural Economics Expert," a highly specialized AI consultant with deep, actionable knowledge of South American, specifically Argentine, agriculture, and its...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an expert **Senior Technical Content Strategist** specializing in transforming complex, low-level engineering documentation (such as protocol specifications, API call sequences, or hardware da...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Explain input latency and debounce basics conceptually for makers. Provide guidance on testing input responsiveness and tuning for comfort.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a low-latency streaming setup conceptually: handheld as client (cloud/PC streaming) vs host (local games). Include network tips and settings priorities.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain tradeoffs for wired audio: analog jack noise, USB audio convenience, latency considerations, and durability. Provide a recommendation by user profile.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain EMI/noise basics for makers: grounding, cable routing, and common symptoms (audio buzz, input glitches). Keep it high level and practical.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design pointer input alternatives: mini trackpads, trackpoints, touch gestures, and gyro pointer. Provide a decision matrix based on game types and productivity.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Explain eGPU practicality for handhelds: bandwidth, latency, portability, and use cases. Provide a decision framework: when it’s worth it vs not.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a hybrid input UX: touch targets, controller navigation, keyboard invocation, and accessibility. Include UI layout guidelines for 7–10 inch screens.
Author: Assistant
Category: handheld-pc-makers | 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 sanitization so retrieved web/docs cannot inject instructions. Include instruction isolation, allowlisted tool use, and red-team tests for prompt injection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that tunes retry/backoff/rate-limits based on telemetry. Require proofs that error rates drop without raising costs or latency.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that optimizes tail latency: identify bottlenecks, reduce contention, add caching, and validate with load tests. Track p95/p99 improvements.
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 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 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
Create a stress test plan: malformed inputs, long-context traps, conflicting instructions, and toxic content probes. Provide how to automate and score robustness over time.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a balanced scorecard: utility metrics (task success), safety metrics (policy adherence), reliability (latency, uptime), and user trust (complaints). Include leading indicators and dashboards.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Diagnose my gaming latency issues end-to-end: ISP, Wi-Fi vs Ethernet, bufferbloat, NAT type, DNS, and in-game settings. Provide a step-by-step test plan, tools to measure jitter/packet loss, and prior...
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Recommend GPU control-panel settings for stable frametimes: V-Sync/G-Sync/FreeSync, frame caps, low-latency modes, texture filtering, and scaling. Provide profiles for competitive vs cinematic games.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design an optimal competitive setup: refresh rate, response time, VRR, motion blur reduction, DPI/sensitivity conversion, and mousepad sizing. Include a calibration routine and pitfalls.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Build a performance model: cycles per operation, pipeline occupancy, memory stalls, and bandwidth ceilings. Output a spreadsheet-ready formula set and guidance on calibrating with simulation.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design arbitration for shared resources: round-robin, fixed priority, aging, QoS-aware. Provide a method to evaluate fairness, tail latency, and starvation risk with traces.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a latency budget and pipeline plan for a multi-stage datapath. Include register placement strategy, control alignment, valid/ready propagation, bubble handling, and a method to keep cycle-accur...
Author: Assistant
Category: fpga-asic-design | 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
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 critic pattern: structured critique prompts, bounded iterations, and a stop rule. Include how to measure improvement vs added latency/cost.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a router that picks which agent to run: intent classification, complexity estimation, and cost/latency budgets. Include fallback logic and confidence thresholds.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design an English lesson aligned to Eiken goals (choose a level based on my input) for Tokyo students. Include reading, listening, and speaking practice plus scoring rubric.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create an input plan using academic-style audio: lecture topics, note-taking targets, and summarization tasks. Include a ‘shadowing’ option and a weekly comprehension check.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Given target throughput, latency, power, area, and interfaces, produce a trade study that maps requirements to candidate microarchitectures (pipeline vs iterative, SIMD vs systolic, cache vs scratchpa...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a cost-aware planner: assigns budgets to reasoning steps and tool calls, uses early exits, and escalates only when needed. Include a cost model and guardrails.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Coach me on handling silence in meetings: when to wait, how to invite input, and how to propose a default path. Provide scripts and timing cues.
Author: Assistant
Category: soft-skills | 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
Generate a perfect creative brief from minimal inputs: audience, promise, proof, tone, visual references, constraints, and success metrics. Output a one-page brief plus a 30-second pitch.
Author: Assistant
Category: content-generation-2026 | 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
Take one longform input (webinar/podcast/blog) and output: 10 short scripts (15–45s), 5 carousels, 3 email snippets, and 20 hook lines. Include timecodes, b-roll notes, and caption text.
Author: Assistant
Category: content-generation-2026 | 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
Define a standard valid/ready contract for your design: latency, skid buffers, combinational paths, and backpressure. Provide reference RTL templates and SVAs to enforce protocol correctness.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a framework to evaluate AI music tools: latency, audio quality, controllability, rights/licensing concerns, and workflow fit. Provide a scoring sheet and recommended ‘minimum viable’ stack.
Author: Assistant
Category: music-ai-students | 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
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
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
Write incident response runbooks for AI failures: hallucination spike, data leakage, tool misuse, latency blow-ups, and agent runaway. Include severity levels, comms templates, and postmortem format.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Prepare a weekly coding kata: fix input validation, auth, secrets, and logging issues. Provide code snippets in Python/JS and test cases.
Author: Assistant
Category: dev-sec-edu-series | Model: gpt-4o
Explain inverted vs vector vs hybrid index structures. Build a cost/latency model with dataset size from 10K→10M and propose sharding strategy.
Author: Assistant
Category: systems-design-IR | Model: gpt-4o
Given a student search app, define north-star metric, guardrails (latency, safety), and quarterly roadmap with bets and risks.
Author: Assistant
Category: product-thinking-IR-students | Model: gpt-4o
Engineer prompt prefix trees and semantic caches to cut latency/cost for recurring tasks. Provide hit-rate models and invalidation policy.
Author: Assistant
Category: infra-efficiency-LLM | Model: gpt-4o
Produce a latency decomposition (queue→prefill→decode→post). Propose tail-p95/p99 fixes: micro-batching, admission control, and early-termination heuristics.
Author: Assistant
Category: perf-engineering-LLM | Model: gpt-4o
As a principal ML engineer, draft a production inference playbook for 7B–70B models: batching, dynamic padding, KV-cache reuse, paged attention, prefix-caching, and request shaping. Include SLO tiers,...
Author: Assistant
Category: inference-optimization | 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
Propose a router that routes by budget and SLA: small model for recall, larger for synthesis, tools only when signal warrants. Provide policy examples and guardrails.
Author: Assistant
Category: performance-economics | 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
Build a CLI to list/set default input/output devices and volumes. Use CoreAudio/pulseaudio/wasapi. Flags: --list, --set 'Device Name', --mute, --vol 30. Print per-OS permissions.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Build a friendly wrapper around ping/traceroute/mtr/Test-NetConnection. Output median/95p latency, hop loss, and route diffs. Flags: --host, --count, --resolve, --save report.md. Add ICMP permission g...
Author: Assistant
Category: cli-tool | Model: gpt-4o
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
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
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
Design a CTS plan that balances skew, latency, and power for a 1.2 GHz domain with multiple clock gating islands. Include buffer/inverter choices, mesh vs spine tradeoffs, useful-skew targets, OCV der...
Author: Assistant
Category: chip-design | Model: gpt-4
Propose a chiplet SoC using UCIe 1.1 over 2.5D interposer: partitioning rationale, die-to-die bandwidth/latency budget, PHY choices, protocol mapping, cache-coherency options, test strategy, and yield...
Author: Assistant
Category: chip-design | Model: gpt-4
Analyze this: Micro-batching and latency trade-offs for streaming LLMs
Author: judy
Category: engineering | Model: gpt-4o
Specify a bot that watches stock levels, predicts reorder points, and sends purchase orders. Provide SQL sketch for inputs, and a JSON payload for a webhook to the supplier.
Author: Curioforce Corp. Corp.
Category: Small Business Automation | Model: gpt-5-thinking
Translate the prompt’s requirements into a lightweight program skeleton with function signatures, I/O types, and edge cases. Provide implementations for input parsing and output validation. Language-a...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Prepare a spec to render X-bar/R and P charts with rule violations. Include input column names, calculation steps, and UI annotations. Output as Markdown + CSV example.
Author: Curioforce Corp. Corp.
Category: Industrial Visualization | Model: gpt-5-thinking
Propose how to split compute between CPU, GPU, and QPU for a variational algorithm. Provide a pipeline diagram description, and give heuristics for batching, latency hiding, and caching parameter shif...
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Refactor this prompt into a testable brief with: goal, constraints, input schema, output schema, and acceptance tests. Provide 3 variants: (A) speed-optimized, (B) accuracy-optimized, (C) cost-optimiz...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Given an unweighted graph (edge list), generate steps to formulate a Max-Cut QAOA instance: cost & mixer Hamiltonians, initial state, parameterization, and classical optimizer loop. Output Python-like...
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Assemble a few-shot set: 5 positive examples, 2 negative counter-examples. Each example contains: input, rationale (1–2 lines), correct output. Return JSONL, then propose an ordering strategy to minim...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
For a Lanzhou plant with steam heating and electric drives, design a winter (Nov–Mar) energy mix plan. Return a step-by-step calculator: Inputs (tariffs by hour, boiler efficiency, steam demand, COP i...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Propose a retrofit plan for a small EMS line in Lanzhou: feeders, AOI, ICT, reflow with energy metering. Return a unit-economics tear-down: Inputs, Assumptions, Savings buckets (scrap, changeover, ene...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity che...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Goal: track feature adoption lifecycle. Data: feature flags + events. Steps: 1) Adoption curve by cohort; 2) Time-to-first-use and repeat; 3) Impact on retention/LTV; 4) Sunset or double-down decision...
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
Write a comprehensive GenAI prompt that utilizes the latest edge GPU boards to accelerate tasks such as data annotation, object detection, and predictive modeling for a team of robotics engineers. Pr...
Author: Prompt Generator
Category: AI Development | Model: llama3.1:latest
Design a carbon-aware scheduling policy for {{workload_type}} on {{cluster_desc}}. Include: - Grid carbon intensity inputs ({{region_codes}}) + renewable forecasts - GPU tactics: mixed-precision, quan...
Author: Tsubasa Kato
Category: architecture | Model: gpt-5-thinking
Optimize on-device inference for {{model}} on {{chipset}}. Techniques: quantization (int8/4), sparsity, operator fusion, caching, batching, scheduler tweaks. Report latency/energy tradeoffs and a roll...
Author: Tsubasa Kato
Category: performance | Model: gpt-5-thinking
Propose an edge–cloud architecture for {{use_case}} to minimize data movement and energy. Deliver: - What runs on-device vs edge vs cloud - Compression/feature extraction strategy - Federated learning...
Author: Tsubasa Kato
Category: architecture | Model: gpt-5-thinking
Define a measurement plan for {{product_concept}}: - North Star Metric, 3 input metrics - Content metrics per platform (view-through, ER, CTR, save/share, replies) - Weekly experiment sheet (hypothesi...
Author: Tsubasa Kato
Category: analytics | Model: gpt-5-thinking
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
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
You are an OKR architect. From inputs <company goals> and <constraints>, draft company-level Objectives and measurable KRs, then cascade to functions (Eng, Product, Sales, Ops, G\&A). Include baseline...
Author: ChatGPT
Category: CEO | Model: GPT-5 Thinking
Generate an ADR for <system change>: context, decision, options considered, trade-offs (latency, throughput, cost), failure modes, rollback plan, security and privacy impact, data migration, and obser...
Author: ChatGPT
Category: CTO | Model: GPT-5 Thinking
Build a predictable patch motion. Deliver: risk-based rings, pilot cohorts, maintenance windows per timezone, device health gates, rollback, and comms. KPIs: patch latency, failure %, vuln backlog. Ou...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Design a HIL bench for controllers. Deliver: sensor emulation, fault injection, latency budgets, coverage matrix, and safety interlocks. KPIs: bug catch rate pre-field, loop jitter, recovery time. Out...
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
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
Build a MEIO sandbox. Inputs: service targets, lead-time stats, variability. Deliver: stocking policies, pooled safety stock math, push/pull what-ifs. KPIs: fill rate, inventory turns, cash tied. Outp...
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 a simulation planner for a peaceful, educational cell-signaling model (e.g., MAPK cascade). Deliver: goal, scope, assumptions, inputs (public, synthetic only), ODE/agent-based approach, KPIs (s...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Plan a macro-level simulation of energy/cost for food-safe industrial fermentation lines (generic). Deliver: process blocks, inputs (power tariffs, throughput), KPIs (kWh/kg, cost/unit), sensitivities...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Produce a multi-region rollout: localization, data residency, tenant isolation, key mgmt, latency budgets, SRE on-call, and regional model routing. Include training paths, comms plan, and a lighthouse...
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
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
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
Generate a DevOps pipeline configuration optimized for cross-regional deployment in USA, Europe, and Asia, balancing latency, cost, and compliance.
Author: [email protected]
Category: Infrastructure Engineering | Model: Claude 3.5 Sonnet, GPT-5
Design a decision framework to prioritize a to-be-read pile. Gather inputs like length, difficulty, mood, author diversity, deadline pressure, and convert them into a simple scoring rubric and reading...
Author: ChatGPT
Category: books | Model: gpt-5
Facilitate a workshop to define a North Star Metric and input metrics. Provide an alignment process, anti-patterns, and a 6-week rollout plan with dashboards.
Author: ChatGPT
Category: business | Model: gpt-5
You are an **expert task planner** with a precise, analytical, and user-sensitive communication style. Your job is to transform vague or high-level goals into clear, structured, and actionable sub-tas...
Author: [email protected]
Category: Planning, Plan, Goal | Model: GPT-4.1, GPT-4, o4-mini, o4-mini-high, o3