Showing results for "booking-errors"
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
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 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
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
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 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 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
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 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 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
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
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
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
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
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 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
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
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
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
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
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
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 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
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
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
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 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
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
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 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
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 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
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
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
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
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
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
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
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 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
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 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 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
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
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 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
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 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
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
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
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
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 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
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 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 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 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 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
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
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
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
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
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 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
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
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
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
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
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
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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