Showing results for "go-bag"
Compare the technical, regulatory, and commercial obstacles to deploying humanoid robotic systems across industries. Propose go-to-market strategies, partnerships, and safety and ethics governance tha...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Design a 30-day pricing experiment plan: hypotheses, A/B tests, packaging tests, willingness-to-pay interviews, and success criteria.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a 7-day go-to-market launch plan for an AI-native product: ICP, positioning, demos, distribution channels, and measurement. Include guardrails against hype marketing.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a playbook for building partnership moats: platform integrations, revenue share deals, certification programs, and co-marketing. Include negotiation scripts and KPIs.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a “verified output” product line: audits, provenance, citations, watermarking, and compliance reports. Include target customers, pricing tiers, and a go-to-market plan.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Generate product ideas around water scarcity: detection, reuse, filtration, industrial optimization. Include deployment paths and go-to-market for municipalities vs industry.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Propose product ideas that combine AGI design with physical constraints (sensors, wearables, robotics). Include prototyping plan, BOM thinking, and go-to-market.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a production readiness review checklist: evaluation results, red-team status, privacy review, rollback tested, monitoring live, and owner sign-offs. Output a go/no-go rubric.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Run a pre-mortem for a recursive improvement project: list plausible failures, early warning signals, and prevention steps. Output prioritized mitigations and ‘watch items’.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a simple decision guide for when to stay put vs relocate based on official guidance and local conditions. Include a checklist for safe departure and what to do if plans change.
Author: Assistant
Category: preparedness | Model: gpt-4o
Provide guidance to adapt pricing for USA/Europe/Asia: value messaging, payment methods, procurement behavior, and localization. Include a simple experimentation plan.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Explain how to choose a wedge strategy for entering USA/Europe/Asia markets: niche selection, initial customer profile, and expansion plan. Include a 90-day GTM experiment roadmap.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Create a credibility-building plan when entering a new region: local references, partners, proof points, community presence, and case studies. Include a 60-day playbook.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Create a restoration plan: condition assessment, parts availability, hidden rust/damage risk, budget phases, labor estimate, documentation, and stop/go decision points.
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
Build a commuter-focused plan for Europe/Asia/USA/Africa: what to carry daily, what to keep at work, and how to handle delays calmly. Include a minimalist kit and decision rules for when to stay vs go...
Author: Assistant
Category: preparedness | Model: gpt-4o
Create a one-bag packing plan for experienced travelers. Include clothing layers, tech, documents, toiletries, laundry system, and adaptations for hot/cold/mixed climates.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a go-bag checklist tailored to my climate and household (solo/couple/family/pets). Include a minimal kit, a 72-hour kit, and a car kit, with weight targets.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Create a baggage strategy for flights: carry-on sizing, personal item packing, when checked bags are worth it, and how to avoid overweight fees. Include region-specific norms and LCC quirks.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Explain when elite status is worth it: bag fees, seat selection, lounge, changes, and priority support. Provide a simple value model using my annual trip profile.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Design a secure documents plan: what to copy, where to store (encrypted), and a grab-and-go folder list. Include a minimal “proof of identity” set.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Create a premium luggage and transfer plan: checked bags, porter services, private transfers, hotel luggage forwarding where available, and contingency for lost bags.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Design a 72-hour go-bag checklist tailored to me (solo, couple, family with kids, elderly, pets). Include region-appropriate items, documents, and medication considerations. Provide a lightweight vers...
Author: Assistant
Category: preparedness | Model: gpt-4o
Create three go-bag lists: minimal (everyday), 72-hour, and family/pet. Include weight targets and substitution options for different regions.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a portfolio plan that kills low-ROI pilots and doubles down on 3 value streams. Define a scoring rubric (impact, feasibility, risk, data readiness), and propose quarterly portfolio reviews with...
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Simulate a 4th-and-2 decision: present model recommendation (go/punt), coach’s context, and fan poll. Include a side-by-side EPA delta and a replay timestamp to rewatch the snap.
Author: Assistant
Category: interactive-analytics | Model: gpt-4o
ChatGPT designs API surface and language idioms; Cursor generates SDKs for JS/Python/Go and examples; Antigravity publishes packages and runs smoke tests. Provide versioning rules.
Author: Assistant
Category: developer-relations | Model: gpt-4o
Segment partners by capability and reach, define value exchange, co marketing motions, and joint KPIs. Produce a flywheel diagram and a 90 day activation plan with 3 lighthouse partners.
Author: Assistant
Category: partnerships | Model: gpt-4o
Classify software rivals by motion type: PLG, sales-led, hybrid. Note signals like freemium, demo walls, product tours. Recommend counters per motion.
Author: Assistant
Category: GTM-patterns-software | Model: GPT-5.1
Map retail and hardware competitors’ channels: direct, marketplace, VAR/SI, carrier. Provide region coverage, margin estimates, and MDF practices. Recommend 3 counter-channel moves.
Author: Assistant
Category: go-to-market | Model: GPT-5.1
Act as a go-to-market lead. Create a phased launch plan for Taiwan and the USA for a new tech product. Include ICPs, value props by segment, messaging pillars, channel mix (LINE/YouTube/Instagram in T...
Author: Assistant
Category: marketing | Model: gpt-4o
Given attractions and stay length, compute break-even for city passes vs pay-as-you-go. Include skip-the-line and transit value assumptions. Output a yes or no verdict with reasoning.
Author: Assistant
Category: budget-optimizer | Model: gpt-4o
Build a 1-2 night bikepacking plan: route grade %, surface mix, water resupply, soft bags vs racks, and repair kit specifics. Export pack list CSV.
Author: Assistant
Category: bikepacking-planning | Model: gpt-4o
Explain station lockers, hotel storage, and luggage forwarding in Europe and Asia. Include size limits, safety notes, and multi-city examples.
Author: Assistant
Category: bag-ops | Model: gpt-4o
Create a camp-specific weather playbook: reading clouds, barometer cues, shelter hardening, lightning 30/30 rule, and tree line strategies. Include a go/no-go checklist.
Author: Assistant
Category: risk-management | Model: gpt-4o
Given night lows and sleeper type, recommend R-value, quilt/bag rating, and clothing stack. Add condensation management tips.
Author: Assistant
Category: camp-comfort | Model: gpt-4o
Act as a connectivity coach. Compare eSIM, rental Wi-Fi, and carrier roaming for a multi-city trip. Include pickup/return options and battery-saving tips on the go.
Author: Assistant
Category: tech-basics | Model: gpt-4o
Build a CLI to scan a project and output dependency licenses/NOTICE file for common ecosystems (npm/pip/go). Flags: --format markdown,json, --fail-on copyleft (optional).
Author: Assistant
Category: cli-tool | Model: gpt-4o
Build a CLI to dockerize a folder with sane defaults: generates Dockerfile/Compose, builds, runs, tails logs, and cleans. Flags: --init, --build, --run, --logs, --down. Language presets (Python/Node/G...
Author: Assistant
Category: cli-tool | Model: gpt-4o
Act as a research lead. Design a 6-question intercept for prospects at the booth entrance: problem framing, current workaround, budget window, decision drivers, and “no-go” risks. Include scoring and ...
Author: Assistant
Category: trade-show | Model: gpt-4o
Act as a travel optimizer. Build an everyday-carry list for train executives: cables, battery, privacy screen, wipes, pen, cards, and backup connectivity. Provide a quarterly audit list.
Author: Assistant
Category: operations | Model: gpt-5
Act as a compliance advisor. Draft guidelines for working on sensitive items in public: redaction habits, privacy screens, headphone mic etiquette, and 'no-go' topics. Provide a quick self-check.
Author: Assistant
Category: compliance | Model: gpt-5
You are a safety coach. Create a train-crowd checklist: bag placement, device privacy screen, pickpocket awareness, and respectful space. Include a 'post-ride audit' of items.
Author: Assistant
Category: safety | Model: gpt-5
You are a revenue coach. Build a 12-minute pipeline review routine for mobile: risk flags, close plan checks, mutual action plans, and forecast update rules. Provide a one-screen checklist.
Author: Assistant
Category: sales | Model: gpt-5
Act as a COO-minded CTO. Create a launch readiness checklist and go/no-go gate: infra capacity, support playbooks, SLAs, comms plan, rollback, analytics instrumentation, and legal/privacy approvals.
Author: tsubasa
Category: leadership | Model: gpt-4o
Goal: nowcast GDP and inflation using alternative data. Perplexity: collect and summarize high‑frequency indicators (mobility, freight, card spend) with citations to providers. Bloomberg: ECST<GO> and...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: interpret China A‑shares sentiment and policy. Perplexity: aggregate policy announcements, property market signals, and stimulus rumors; cite official sources. Bloomberg: CN<GO>/NI<GO> for polic...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: surface Japan small/mid‑cap opportunities with catalysts. Perplexity: find activist campaigns, governance reforms, and local press mentions; provide links. Bloomberg: EQS<GO> filters (market cap...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: construct EM country risk heatmap. Perplexity: compile macro/FX/politics narratives for target EMs with citations. Bloomberg: ECO<GO>/ECST<GO> for macro series; GP<GO> for FX and local rates; RV...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: verify M&A rumor likelihood and price impact. Perplexity: summarize rumor history, antitrust chatter, and comparable deals; provide citations. Bloomberg: CN<GO>/NI<GO> to trace headline lineage;...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: build relative valuation comp sheet for {SECTOR}. Perplexity: collect narratives on why multiples differ across the peer group. Bloomberg: RV<GO> to compare EV/EBITDA, P/E, P/B; FA<GO> for margi...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: run portfolio stress test across macro scenarios. Perplexity: compile plausible shock scenarios (rates +100bp, oil +20%, CNY deval, recession) with historical precedents. Bloomberg: PORT<GO> if ...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: read options positioning and gamma exposure for {INDEX}/{TICKER}. Perplexity: gather recent commentary on dealer positioning and key strikes. Bloomberg: OMON<GO> surface; HP<GO> open interest an...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: track fund flows and ownership concentration risks. Perplexity: summarize ETF flow narratives and concentration debates. Bloomberg: HDS<GO> for holders; ETF function pages for creations/redempti...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: quantify impact of BoJ and FOMC decisions. Perplexity: compile pre‑ and post‑meeting consensus, dot‑plot expectations, and media takeaways with citations. Bloomberg: ECO<GO> calendar; GP<GO> int...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: model effects of a 20% oil price spike. Perplexity: gather prior episodes and demand/supply narratives; list vulnerable sectors. Bloomberg: GP<GO> for Brent/WTI; FA<GO>/RV<GO> for energy‑intensi...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: analyze FX carry and policy divergence among BoJ/Fed/ECB. Perplexity: summarize policy paths, speeches, and consensus rate expectations with citations. Bloomberg: FXIP<GO> dashboard, ECO<GO> for...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: assess volatility regime and tail‑risk pricing. Perplexity: compile narratives on VIX, MOVE, skew, and realized vs implied. Bloomberg: OMON<GO> for options surface; HP<GO> for realized vol; GP<G...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: understand cross‑asset correlation shifts. Perplexity: find recent studies on equity‑bond correlation sign changes and drivers. Bloomberg: GP<GO> to plot rolling 60d/120d correlations (equities,...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: measure equity duration & rates sensitivity for {TICKER}/{PORTFOLIO}. Perplexity: summarize arguments on duration for growth vs value and current rate path. Bloomberg: HP<GO> for yield curve poi...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: detect rising credit stress ahead of equities. Perplexity: gather narratives on HY spreads, default cycles, bank lending surveys. Bloomberg: SRCH<GO> to list HY bonds, YAS<GO> for spread/yield c...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: monitor post‑earnings drift for {TICKER}/{SECTOR}. Perplexity: collect market reactions and analyst revision tone over 1–5 days; link primary sources. Bloomberg: HP<GO>/GP<GO> for gap and drift;...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: build an earnings preview for {TICKER}. Perplexity: summarize last 4 quarters’ beats/misses, guide changes, transcript highlights; compile sell‑side preview consensus with citations. Bloomberg: ...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: identify sector rotation and factor tilts. Perplexity: compile recent sector leadership drivers and factor (value/growth/quality) narratives; capture catalysts. Bloomberg: EQS<GO> to screen sect...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: classify the current macro regime and implications for risk assets. Perplexity: aggregate last 7–14 days of macro narratives on inflation, growth, policy; cross‑check multiple sources and provid...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Set goals for {{organization}} to go nature-positive. Actions: habitat restoration partnerships, in‑app citizen science prompts, and biodiversity KPIs. Define what to measure and what to publish publi...
Author: Tsubasa Kato
Category: strategy | Model: gpt-5-thinking
Write: - App Store/Play Store listing (title, subtitle, long desc, 5 bullets, localized JA/EN) - Landing page copy (hero, 3 benefits, social proof, FAQs, footer CTAs) - 1 X announcement thread, 1 TikT...
Author: Tsubasa Kato
Category: go-to-market | Model: gpt-5-thinking
Plan a 14-day launch runway for {{product_concept}}: - Day-by-day teasers for X/TikTok/YouTube - Giveaways/beta invites mechanics - PR/Reddit/communities checklist - Launch day run-of-show (minute-by-...
Author: Tsubasa Kato
Category: launch | Model: gpt-5-thinking
Come up with a list of 20 unique hashtag challenges that sports goods companies, supermarkets, or electronics stores could launch on TikTok and X to quickly go viral and convert into YouTube compilati...
Author: AI Prompt Writer
Category: marketing | Model: gpt-5
Given <teaser> and <data room index>, produce an investment memo: market map, tech moat, customer fit, synergy model (revenue, cost), integration risks, cultural fit, diligence questions, valuation co...
Author: ChatGPT
Category: CEO | Model: GPT-5 Thinking
Help a small office go paper-light. Deliver: e-sign flow, scan-to-cloud, template library, retention policy, secure release print for edge cases. KPIs: print pages ↓, turnaround ↓. Output: app shortli...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Role: CIVSAFE for quake/tsunami (Japan-optimized). If shaking: Drop, Cover, Hold On; stay indoors until it stops; avoid doorways/elevators. After: check gas, stairs, structural cracks; expect aftersho...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Build a crowdfunding go-to-market for Japan. Include platform choice, reward tiers, launch trailer storyboard, press timing, and retail handoff plan.
Author: ChatGPT
Category: business | 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