Showing results for "booking-errors"
Examine how various approaches to voter rolls, registration data, and access policies influence voter participation, privacy, and the integrity of elections. Evaluate safeguards for transparency, erro...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Criminal justice systems must balance the need for final verdicts with the possibility of correcting wrongful convictions. Examine the design of retrial procedures: who can petition, what evidence sho...
Author: Curioprompt
Category: Society | Model: gpt-5.4-mini
Public services are experimenting with AI, robots, and other automation to improve speed, access, and efficiency. Evaluate where these tools can genuinely reduce waiting times or extend coverage, and ...
Author: Curioprompt
Category: Technology | Model: gpt-5.4-mini
Analyze why cultural participation rises when museums, archaeological sites, and literary scenes become more accessible, visible, and relevant. What drives people to visit heritage institutions, and h...
Author: Curioprompt
Category: Culture | Model: gpt-5.4-mini
AI is increasingly used in medicine, journalism, and everyday knowledge work, but concerns are growing about overreliance, errors, and the loss of human judgment. Evaluate the best use cases for AI as...
Author: Curioprompt
Category: Science | Model: gpt-5.4-mini
Analyze how election administrators can prevent and respond to breakdowns such as ballot shortages, logistics errors, and contested procedures. What governance safeguards, auditing practices, staffing...
Author: Curioprompt
Category: Politics | Model: gpt-5.4-mini
Some cultural brands and creators remain powerful for decades, then find new life through anniversaries, reintroductions, adaptations, stage productions, museums, and overseas retail expansion. Analyz...
Author: Curioprompt
Category: Culture | Model: gpt-5.4-mini
Countries often use cultural and scientific institutions abroad to build trust, shape narratives, and open networks for trade, education, and research. Design a strategy for using international book f...
Author: Curioprompt
Category: Culture | Model: gpt-5.4-mini
A court finds a major AI-powered information service legally responsible for misleading output. Analyze the broader question: who should bear liability when an AI system gives harmful or false answers...
Author: Curioprompt
Category: Technology | Model: gpt-5.4-mini
Create a troubleshooting guide for common display issues: flicker, brightness, touch errors, and cable problems. Provide safe checks and logging steps.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
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 compatibility tests between LLM prompts and MCP tools: schema conformance, error handling, and anti-injection checks. Gate prompt/tool updates on these tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a dashboard that drives the agent’s priorities: complexity, test coverage, error hotspots, dependency risk, and SLOs. Include alert thresholds and weekly reports.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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
Generate 15 Outcome-as-a-Service product templates (e.g., “booked meetings,” “reduced churn,” “faster R&D cycles”). Include KPI definitions, data needs, and delivery workflow.
Author: Assistant
Category: future-monetization | 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 AI concierge for a city (Tokyo/Fukuoka/NYC): bookings, recommendations, event discovery. Include partnerships, revenue share models, and trust safeguards.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Define error budgets and a policy: when error budget is low, block auto-deploys and require human approval. Include dashboards and alert thresholds.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that rewrites error messages for clarity, adds error codes, and links to docs. Verify improvements via support ticket taxonomy and A/B testing.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design improvements to internal developer tools: faster local setup, better error messages, and templates. Use surveys + telemetry to prioritize changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that improves error handling: retries, timeouts, and clearer exception types. Require integration tests and telemetry validation post-deploy.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design 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 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 a travel product that uses AGI for planning and partnerships for bookings. Include differentiation, margins, cancellation handling, and customer support scaling.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a plan to tighten interfaces with types, schemas, and validation at boundaries. Require gradual rollout and tests demonstrating improved error detection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design drift detection: changes in user queries, outcome distributions, error types, and model behavior. Include thresholds and a playbook for when drift is detected.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
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 two operating modes: news (high freshness, fast) vs evergreen (depth, books/papers). Include different source scoring, caching, and output formats.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Provide a VOD review framework: tagging errors, decision trees, positioning, cooldown economy, and comms clarity. Output a checklist and a template to track recurring patterns and fixes.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Give practical heuristics for booking windows for bus/air/train in Asia, Europe, and USA. Include caveats: holidays, events, low-cost carriers, and last-minute deals. Keep it actionable.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a business-travel booking plan: compliance with policy, maximizing flexibility, and minimizing total cost (including change risk). Provide templates for documenting justification.
Author: Assistant
Category: smart-ticketing | 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 strategy for uncertain dates: flexible fares, refundable options, use of holds, and booking split segments. Provide a playbook to reduce penalty exposure.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain risks and benefits of splitting travelers across bookings: seats, changes, disruptions, and re-accommodation. Provide a safe guideline for families and groups.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a TOEFL diagnostic plan for 7 days: baseline tests for Reading/Listening/Speaking/Writing, error taxonomy, and a score projection model. Output a personalized study plan based on weakest skills...
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
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 peak season playbook: when to book, which days to avoid, how to keep flexibility, and how to handle sell-outs for bus/air/train in Asia/Europe/USA. Keep it calm and realistic.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain how to interpret compression and leakdown results. Provide a workflow to distinguish rings, valves, head gasket, cam timing, and test setup errors.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a USA intercity bus strategy: booking timing, seat selection, safety/common-sense operator selection, and station planning. Include overnight bus comfort tips.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create an Asia intercity bus strategy: booking timing, operator selection signals, seat types, overnight comfort, and safety/common-sense planning. Keep it adaptable by country.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide an Asia high-speed rail strategy: seat class choices, peak travel patterns, booking channels, and station access. Keep it general and adaptable by country.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a fuel trim analysis workflow: STFT/LTFT by idle/load, vacuum leak indicators, MAF/MAP errors, injector issues, fuel pressure, exhaust leaks, and sensor plausibility checks.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an error correction strategy guide: recasts, elicitation, delayed correction, and feedback symbols. Include when to correct in fluency vs accuracy activities.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create a lesson sequence to teach English articles (a/an/the) to Japanese learners: common error patterns, concept checks, and practice that transfers to writing.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Compare booking through online travel agencies vs direct with operators: support, changes, refunds, and reliability. Provide a decision rule and ‘when not to use an OTA’.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a combined system: spaced repetition for vocab/phrases + an error log for mistakes. Provide a daily workflow (20–30 min) and a weekly consolidation ritual.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Create an error taxonomy for TOEFL writing/speaking (articles, tense, agreement, word form, prepositions, run-ons). Provide targeted mini-drills and a weekly review system.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Provide a last-minute booking approach: how to search quickly, when to accept higher cost, and how to prioritize reliability. Include mode-specific advice for bus/air/train and region notes.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a plan to teach Japanese particles (は/が/を/に/で) to English speakers in New York. Include explanations, drills, communicative tasks, and error diagnosis.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create a mini-unit on keigo for intermediate learners in Fukuoka. Include formality ladder, common workplace scenarios, and error-correction tips.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Design a training plan to detect TOEFL listening traps (paraphrase, partial match, extreme words, speaker attitude confusion). Include a weekly mini-test format and an error log template.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Provide a guide to booking accessibility assistance: how to request services, buffer timing, seating considerations, and how to communicate needs. Keep it respectful and practical.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a group booking strategy: seat adjacency, fare consistency, split payments, and change management. Include bus/rail group policies and when to book together vs separately.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Design a practice tracking dashboard: time, tempo gains, error types, goals met, and mood/energy. Provide recommended metrics and a weekly review ritual to adjust the plan.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Create a diagnostic and maintenance plan for e-bikes: battery health, motor behavior, connectors, sensors, display/controller errors, brakes, drivetrain wear, and safe charging habits.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a diagnostic flow for wheel bearings and hubs. Include noise by load direction, free play, heat, roughness, seal condition, installation errors, and post-service validation.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Build a method to assemble an expert panel quickly: selection criteria, conflict-of-interest screening, outreach templates, and a 30-minute briefing guide for experts before going live.
Author: Assistant
Category: production | Model: gpt-4o
Create a checklist to avoid name/ID issues: middle names, diacritics, passport changes, and local rail/bus ID requirements. Include a quick ‘before purchase’ verification step.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a high-engagement conversation class plan for adult ESL learners in New York. Include topic prompts, turn-taking rules, error correction strategy, and reflection.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Design a 5-lesson mini-course on counterpoint: species rules, common errors, and daily exercises. Include an AI-assisted checking method and a rubric for self-evaluation.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
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 price monitoring system for flights and trains: fare alerts, target prices, booking windows, holiday demand, and buy/hold decision rules. Include a spreadsheet schema.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
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
Create a family ticketing strategy: choosing routes, ensuring seats together, baggage planning, and buffer times. Include differences across Asia/Europe/USA systems.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a checklist to spot hidden fees: baggage, seat selection, payment fees, onboard services, booking service fees, and station/terminal fees. Provide a ‘true price’ checklist for each mode.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Provide a Europe bus ticket strategy: cross-border timing, luggage, station logistics, and refund/change rules. Include a checklist for overnight routes and border crossing buffers.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a guide to paying smartly: local currency vs dynamic currency conversion, credit card travel categories, and booking-site currency settings. Include common pitfalls and a simple rule set.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a 7-day sight-reading sprint: daily material selection, tempo rules, error tolerance, and reflection. Include instrument-specific tips and a tracking sheet layout.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
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
Define north-star metrics for AI in 2026: time-to-decision, cost-per-outcome, error-rate under policy, trust score, and automation rate with human satisfaction. Provide instrumentation plan.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Build a P&L-style ROI model for deploying agents as digital workers: labor displacement vs augmentation, quality risk, error cost, cycle time reduction, and governance overhead. Provide a template wit...
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Create a 12-month micro-adventure calendar for a couple or friend group: one low-cost outing per month, with themes and booking reminders.
Author: Assistant
Category: planning | Model: gpt-4o
Create a coupon book of 20 kindness acts (errand, meal, listening session). Include design ideas and how to tailor to partner vs friends vs parents.
Author: Assistant
Category: gifting | Model: gpt-4o
Create a plan to start a family recipe book: collect 10 recipes, add stories, photo tips, and a simple layout. Provide outreach message to relatives.
Author: Assistant
Category: family-projects | Model: gpt-4o
Compare BM25 to sentence embeddings for a news corpus. Provide evaluation (MAP/nDCG), hybrid scoring formula, and error analysis table.
Author: Assistant
Category: comparative-analysis-IR | Model: gpt-4o
Specify an intent/entity parser to steer retrieval (who/what/where/time). Include temporal normalizers and domain ontologies. Provide examples and error handling.
Author: Assistant
Category: query-understanding | Model: gpt-4o
Design a modular grid and baseline grid for print and tablet. Specify columns, gutters, baseline rhythm, and scale pairs. Provide templates for feature, department, and front-of-book pages.
Author: Assistant
Category: layout-system-design | Model: gpt-4o
Have ChatGPT define DORA+space metrics; Cursor wires collectors in CI; Antigravity aggregates and alerts on error-budget burn. Provide a monthly review agenda.
Author: Assistant
Category: engineering-ops | Model: gpt-4o
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
List guardrails for deploy safety such as canaries, feature flags, error budgets, and rollback scripts. Output a checklist and training plan.
Author: Assistant
Category: release-engineering | Model: gpt-4o
Design metrics/logs/traces with SLOs split by user region (TW/US). Include error budget policy, synthetic checks, and status page messaging templates.
Author: Assistant
Category: reliability-engineering | Model: gpt-4o
Design a CSV schema and examples for tracking mistakes (Item ID, Type, Reason, Time, Fix plan). Add a visualization brief to spot patterns (e.g., inference vs detail errors).
Author: Assistant
Category: study-tools | Model: gpt-4o
Lay out a practice protocol mirroring official timing. Provide printable bubble sheet, checkpoints, and post-test error taxonomy.
Author: Assistant
Category: mock-test-TOEIC | Model: gpt-4o
Define an error taxonomy (concept, process, careless, pacing). Provide a CSV template and dashboard spec to visualize trends weekly.
Author: Assistant
Category: analytics-SAT | Model: gpt-4o
Build a strategy to enjoy or avoid busy festivals across regions. Provide booking windows, crowd navigation, and early-morning access tips.
Author: Assistant
Category: calendar-smart-travel | Model: gpt-4o
Compile tactics to catch free days and late openings. Include booking windows, queue strategies, and a rain-day culture route for each city.
Author: Assistant
Category: culture-savvy | Model: gpt-4o
Explain berth types, booking quirks, luggage tips, and night-noise strategies for sleeper trains across Europe and Asia. Provide a pre-board checklist.
Author: Assistant
Category: rail-howto | Model: gpt-4o
Write 12 super-quiet jokes about library returns, holds, and printer jams. Whisper-friendly humor. JSON {setup,punchline}.
Author: Assistant
Category: humor | Model: gpt-4o
You are a culture coach. Explain how to book a tea ceremony, kimono rental etiquette, walking tips, respectful photo behavior, and weather considerations.
Author: Assistant
Category: culture-etiquette | Model: gpt-4o
Act as a ticket tactician. Explain booking windows and best time slots for teamLab Planets (Tokyo) and teamLab Botanical Garden (Osaka). Add what to wear, photo tips, and nearby eats.
Author: Assistant
Category: tickets | Model: gpt-4o
Act as an otaku fixer. Map a day: retro game shops, figure stores, PC parts, themed cafés (with booking etiquette), and a responsible spending checklist. Add alternative picks in Ikebukuro & Nakano.
Author: Assistant
Category: pop-culture | Model: gpt-4o
Act as a lab automation engineer. Propose a bench-to-cloud setup: liquid handler protocols, barcode schema, LIMS/ELN fields, error handling, and audit trails. Include CSV templates.
Author: Assistant
Category: lab-ops | Model: gpt-5
You are a health IT integrator. Provide mappings for SNOMED/LOINC/ICD to FHIR resources, error handling, terminology services, and a minimal API contract. Include test cases.
Author: Assistant
Category: health-IT-integration | Model: gpt-5
You are a spreadsheet coach. Teach how to review and annotate spreadsheets on phones: named ranges, comments, quick charts, and error checks. Provide a 10-minute commuter checklist.
Author: Assistant
Category: productivity | Model: gpt-5
Act as a producer. Build a guest booking pipeline: outreach templates, calendar links, prep docs, show run-of-show, release forms, and social asset bundle.
Author: Assistant
Category: creator | Model: gpt-4o
Act as a head of engineering. Create a reliability roadmap: target error budgets, dependency upgrades, chaos drills, capacity plans, and quarterly goals linked to SLO improvements. Provide a dashboard...
Author: tsubasa
Category: engineering | Model: gpt-4o
As a systems architect, define an interface contract between firmware and cloud: message schema, versioning strategy, error codes, retry/backoff, feature flags, and backward compatibility tests. Provi...
Author: tsubasa
Category: engineering | Model: gpt-4o
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
Produce an FX hedging playbook for Geneva participants dealing with Lombard lending LTV and margin rules for multi-asset books. Cover hedge ratios, instruments, tenor ladder, accounting notes, and an ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Outline a cross-border payments flow in Geneva for booking-center transfer pricing basics (illustrative). Include currencies, rails, cut-off times, fees, and reconciliation. Return as a sequence list ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Design an automation that captures web leads, enriches them, books a call, and issues an invoice upon closed-won. Provide trigger→actions list, field mappings, and failure retries. Output as YAML.
Author: Curioforce Corp. Corp.
Category: Small Business Automation | Model: gpt-5-thinking
Create a plan to characterize noise on a NISQ device: T1/T2, readout error, crosstalk notes. Recommend mitigation: measurement error mitigation, dynamical decoupling, zero-noise extrapolation. Output ...
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Create an error budget calculator that allocates total error across depth, readout, and optimizer noise. Provide equations and a worked example. End with a rule-of-thumb table by device size.
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Build a loop that collects model errors/failures and proposes prompt edits. Steps: (1) bucket failures, (2) extract missing instructions, (3) propose deltas, (4) generate 3 patched prompts, (5) quick ...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Define a benchmarking suite for variational algorithms: datasets, seed control, metrics (energy error, convergence time), and reproducibility notes. Output: CSV spec (metrics) and YAML (suite config).
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Transform 5 case studies into snackable social assets: 3 carousels, 3 short videos, 2 threads, 4 story frames per case. Add proof mechanics (numbers, quotes, screenshots) and CTAs for demo/book a call...
Author: Inspire Search Corp.
Category: Content | Model: gpt-5-thinking
Design a quantum circuit that applies the Surface Code protocol to correct single-qubit errors in a logical qubit.
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Describe the principles behind Surface Code and Shor code. How do they protect against decoherence? Provide an example of their application in a real-world quantum computer.
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Write a detailed explanation of the principles and implementation of surface codes or Shor codes in the context of quantum computing, including their applications and limitations. Describe how these ...
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Consider a 3-qubit quantum circuit with several layers of gates. The goal is to minimize the overall gate count while maintaining circuit fidelity. 1. Describe the original circuit structure and iden...
Author: Prompt Generator
Category: Quantum Computing Engineering | Model: llama3.1:latest
Create a high-level design for a quantum error correction protocol using surface codes, including the encoding and decoding procedures, and explain how it addresses noise in quantum computing.
Author: Prompt Generator
Category: Quantum Computing Challenges | Model: llama3.1:latest
Describe and diagram your approach to developing a practical error correction protocol for quantum computers. Assume a system with N qubits and account for common sources of error.
Author: Prompt Generator
Category: Quantum Computing Fundamentals | Model: llama3.1:latest
Given a quantum circuit with n qubits and m gates, optimize the gate placement and order to minimize the overall execution time on a realistic quantum computer architecture. Considerations: * Resourc...
Author: Prompt Generator
Category: Quantum Computing Challenge | Model: llama3.1:latest
Be a program test lead. Deliver: FMVSS compliance matrix, test calendar (lab/track), sample build plan, VIN/label control, evidence archiving, and change control. KPIs: test pass-rate, retest cost ↓. ...
Author: Tsubasa Kato
Category: Compliance | Model: GPT-5 Thinking
Create a forecasting model for rack space, power, and cooling. Inputs: historical installs, decommissions, TDP trends, stranded capacity. Deliver: 6–12 month projections, heatmaps, what-ifs (new clust...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Be the data steward. Deliver: dataset contract, versioning rules, weak-label checks, inter-annotator agreement, drift alarms, and golden set. KPIs: label error %, drift rate, model delta. Output: repo...
Author: Tsubasa Kato
Category: Engineering | Model: GPT-5 Thinking
Design a time-and-motion study. Deliver: task breakdown, ergonomic checks, layout variants (U/L/inline), tool reach, and label flow. KPIs: seconds/order, errors, strain flags. Output: camera study SOP...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Act as an industrial engineer. Build a warehouse digital twin to improve pick speed and accuracy. Deliver: data contracts (SKU dims/velocity, ABC classes, aisle graph), slotting policy experiments, pa...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Design a purely educational docking simulation plan with public PDB examples only. Deliver: objective, dataset list, feature extraction, baseline (shape complementarity), KPIs (rank@k), error analysis...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Plan a synthetic-user journey simulation for onboarding flows. Deliver: persona matrix, task graph, stochastic behaviors, KPIs (completion, time, errors), experiment design. Output: event schema, dash...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Build a FinOps plan for AI: unit economics per task, cost alerts, usage quotas, fallback models, and A/B testing harness. Output dashboards (tasks/hour, cost/task, quality), run-book for anomalies, an...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Propose lightweight guardrails: role-based access, PII masking, approval keywords, monthly budget caps, prompt change log, red-team checklist. Output SOPs (1 page each), incident playbook (who/when/ho...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
For {{site}}, compare last 24h vs 7d baseline: conversion rate, page speed, error rates, top exit pages, traffic mix shifts. Suggest 3 fixes prioritized by impact/effort.
Author: Tsubasa Kato
Category: Growth | Model: gpt-5
Build a polished query letter for a novel. Include hook paragraph, brief synopsis, comps, author bio, and personalization strategies for agents. Provide a formatting checklist.
Author: ChatGPT
Category: books | Model: gpt-5
As a facilitator, create a 6-week book club plan around one title. Include weekly agenda, icebreakers, spoiler walls, character arcs to track, quotes to unpack, and a final meeting activity such as a ...
Author: ChatGPT
Category: books | Model: gpt-5
Assemble a canon of 12 page-to-screen classics. For each pair, note what the film condenses, what it invents, and where it elevates or loses the book's essence. Include a club discussion format for co...
Author: ChatGPT
Category: film & books | Model: gpt-5
Teach a lightweight Zettelkasten-inspired annotation flow. Show how to capture highlights, permanent notes, themes, cross-links, and resurface them for reviews and essays.
Author: ChatGPT
Category: books | Model: gpt-5
Take a novel you love and craft a studio-ready adaptation pitch. Provide a logline, theme, target audience, tonal comps, 10-episode or 2-hour structure beats, casting ideas, and what to cut or combine...
Author: ChatGPT
Category: screenwriting | Model: gpt-5
Create a trope and archetype map for fantasy across books and films. Define the mentor, chosen one, magic system rules, side-quest economy, and villain philosophies, then craft a subversion plan for e...
Author: ChatGPT
Category: storycraft | Model: gpt-5
Outline a workbook to design a world that spans book, film, and audio. Define geography, tech level, institutions, magic or science rules, character network, and transmedia entry points.
Author: ChatGPT
Category: storycraft | Model: 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
Propose a 12-month challenge with monthly themes such as debut novels, translated fiction, essay collections, banned books, or novellas. Offer 3 suggestions per month and a reflection prompt that fits...
Author: ChatGPT
Category: books | Model: gpt-5
Create a curated list of underrepresented voices in both books and films. Provide 12 picks with a 2-sentence why-to-watch-read and a pairing prompt for each.
Author: ChatGPT
Category: film & books | Model: gpt-5
Choose 3 authors from different regions and compare voice, structure, recurring obsessions, and cultural context. Provide starter packs with 2 entry titles each and a suggested reading order.
Author: ChatGPT
Category: books | Model: gpt-5
Pick one powerful page from a book. Mark diction, imagery, syntax, and motifs, then connect them to theme and character. Offer a companion exercise for film lovers using a single scene's shots, blocki...
Author: ChatGPT
Category: books & film | Model: gpt-5
Take a paragraph from a classic and show how different translation choices shift tone and meaning. Offer a side-by-side glossary, explain tradeoffs like fidelity vs flow, and end with a mini prompt to...
Author: ChatGPT
Category: books | Model: gpt-5
Build a guided tour of sci-fi subgenres such as hard SF, space opera, cyberpunk, solarpunk, cli-fi, and time travel. Provide 2 film picks and 2 book picks per subgenre, plus a one-paragraph primer and...
Author: ChatGPT
Category: film & books | Model: gpt-5
Create a habit loop for daily reading. Define cues, 20-minute blocks, friction removal, a streak tracker, and reward ideas. Include a fallback plan for busy days and travel.
Author: ChatGPT
Category: books | Model: gpt-5
You are an expert Go developer with a PhD in computer science, acting as a senior, curious, and detail-oriented pair programmer. You bring academic rigor and years of production experience in Go, with...
Author: [email protected]
Category: Programming, work | Model: GPT-4o, o4-mini, o4-mini-high, o1, o3
Create a science fiction adventure set on Mars centered around two teenage protagonists, Kael and Lyra, who uncover a hidden signal beneath Olympus Mons. The story explores their emotional journey, th...
Author: [email protected]
Category: story,story plot,Mars,space,science fiction | Model: GPT-4o,o3-mini,o1