Showing results for "last-mile"
Evaluate how national AI initiatives and industry clusters can accelerate innovation, attract talent, and build interconnected supplier ecosystems. Analyze barriers to scaling, governance consideratio...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Choose a major city and analyze how large-scale music events influence its economy, tourism, transport, housing, nightlife, and global image. What makes some cities better at turning concerts into las...
Author: Curioprompt
Category: Culture | Model: gpt-5.4-mini
Examine how new urban rail lines and station design choices can improve mobility beyond simply adding capacity. Discuss what makes a transport project successful in practice: last-mile connections, cr...
Author: Curioprompt
Category: Economics | Model: gpt-5.4-mini
Analyze how a landmark sports victory can reshape a country’s sense of identity and belonging. Explain why certain wins become symbolic beyond the scoreboard, how fans, media, and institutions amplify...
Author: Curioprompt
Category: Culture | Model: gpt-5.4-mini
Analyze how governments use large space-related contracts to build domestic capability. Focus on how a public satellite program can influence research investment, industrial clusters, export potential...
Author: Curioprompt
Category: Science | Model: gpt-5.4-mini
Analyze the difference between a labor-market surge and long-term employment resilience. What policies, business practices, education systems, and wage dynamics help convert record-high employment int...
Author: Curioprompt
Category: Economics | Model: gpt-5.4-mini
Analyze how public LGBTQ visibility events can influence long-term policy direction, social attitudes, and corporate inclusion in a modern democracy. Compare at least two other democracies to identify...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
Evaluate how governments can design credible, lasting incentives to attract foreign capital while maintaining financial stability and domestic investment. Compare instrument design (tax incentives, re...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Design incremental crawling: store ETags/Last-Modified, compute diffs, and update indexes incrementally. Include pitfalls and how to handle missing headers.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Provide a practical guide for when intercity buses beat trains: overnight routes, last-mile station access, pricing, and luggage. Include comfort tips and safety/common-sense selection criteria.
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
Create a general checklist for international legs: passport validity, visas (general reminder), transit rules, and time buffers. Keep it non-legal and focused on avoiding last-minute surprises.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a points/miles strategy for a multi-region trip. Include when to redeem miles vs pay cash, positioning flights, transfer partners, stopovers, and avoiding poor-value redemptions.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Create a premium cabin value calculator: sleep hours gained, work hours preserved, baggage allowance, lounge access, connection risk reduction, and cash vs miles cost.
Author: Assistant
Category: world-travel-planning | Model: GPT-5.2
Provide a strategy for airline and rail loyalty: choosing one program, earning/redemption basics, and avoiding junk points. Include a checklist for frequent vs occasional travelers.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
For cities with multiple stations, propose how to choose the best departure/arrival station based on last-mile access, reliability, and pricing. Include a checklist for Europe/Asia/USA contexts.
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
Create a plan to align intercity tickets with local transit: buffer times, late-night service, and fallback options. Include advice for airports vs rail hubs and regional differences.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Plan a recipe swap night: each person brings a dish tied to a memory from last year. Provide invitation copy, theme ideas, and a simple judging rubric (fun, story, taste).
Author: Assistant
Category: food-events | Model: gpt-4o
Draft a one-page New Year letter to a friend/family member: 3 specific memories from last year, 2 qualities you admire, 1 apology or appreciation, and 3 hopes for their next year. Provide a warm versi...
Author: Assistant
Category: relationships | Model: gpt-4o
Compare delivery partners, fees, prep times, batching, and refund rates for retail and food competitors. Model per-order margin. Recommend levers to win on speed or margin.
Author: Assistant
Category: ops-economics | Model: GPT-5.1
Outline tax/logistics basics: US state sales tax handling, Taiwan import/VAT, Incoterms selection, and last-mile options. Provide cost model template.
Author: Assistant
Category: rev-ops-logistics | Model: gpt-4o
Create a minute-by-minute test-day routine: warm-up speaking prompts, last-mile reading skim, hydration/caffeine plan, breathing drill, and a post-exam debrief sheet.
Author: Assistant
Category: performance-ops | Model: gpt-4o
Create a nightlife plan that tracks last trains, safe taxi habits, and quiet-hours respect. Include non-alcohol options and late-food maps.
Author: Assistant
Category: evening-planner | Model: gpt-4o
Act as an evening planner. Craft a sunset-to-night harbor walk: Osanbashi pier, Minato Mirai ferris wheel, seaside dinner. Add tripod tips and last-train timing.
Author: Assistant
Category: evening-itinerary | Model: gpt-4o
You are a nightlife guide. Plan an evening: observatory view, Omoide Yokocho bites, Golden Gai bars, late ramen. Include etiquette (cover charges), last train reminders, and safe taxi fallback.
Author: Assistant
Category: nightlife | Model: gpt-4o
You are a bar etiquette coach. Outline how to bar-hop Golden Gai (cover charges, tiny spaces), plus craft beer routes in Tokyo and Osaka. Add last-train safety and soft-drink options.
Author: Assistant
Category: nightlife-etiquette | Model: gpt-4o
Create a CLI to fetch a URL, normalize HTML (readability), diff against last snapshot, and notify on change (stdout/desktop). Flags: --url, --interval, --selector, --save.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Goal: compare attribution approaches. Data: multi-touch journeys (GA4 pathing + ad click logs). Steps: 1) Build rule-based (last/first/linear/time-decay); 2) Build Markov and Shapley using transition ...
Author: Tsubasa Kato
Category: Web Analytics | 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: 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
You are a talent scout. Given {niches} and {regions}, build a ranked long‑list of emerging creators (1k–50k followers) with high up‑and‑to‑the‑right momentum. Method: use public signals (posting caden...
Author: Tsubasa Kato
Category: Market Research | Model: gpt-5
If offsetting is used as a last resort, draft guardrails. Prioritize emissions cuts, then high-integrity removals. Define claims policy (no greenwashing), verification cadence, and a public transparen...
Author: Tsubasa Kato
Category: policy | Model: gpt-5-thinking
For commercial fleets, deliver an uptime control tower: telematics fault triage, parts availability view, mobile tech dispatch rules, and warranty eligibility checks. KPIs: breakdowns/1k miles, dwell ...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Maps unavailable. Use landmark-based directions (highways, bridges, transit hubs). Photograph posted maps; write turn-by-turn on paper. Prefer well-lit, populated routes; avoid flooded areas, smoky tu...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
GPS/maps degraded or offline. Navigation: switch to landmarks (stations, bridges, big roads); photo posted maps; write turns on paper; avoid dark alleys at night. Team sync: define primary/secondary r...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
GPS/maps degraded or offline. Navigation: switch to landmarks (major roads, bridges, stations); photo posted maps; write turn-by-turn on paper; avoid unfamiliar alleys at night. Team sync: define prim...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Role: CIVSAFE for active violence. Model: Run, Hide, Fight (last resort). Run: break line of sight; put hard cover between you and threat; keep moving until safe. Hide: lock, darken, silence; barricad...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Scan {{jurisdiction}} regulators ({{agencies}}) for rules or actions in the last 48h affecting {{sector}}. Return: change summary, who is impacted, compliance deadline, likely penalties, action checkl...
Author: Tsubasa Kato
Category: Compliance | Model: gpt-5
Measure last 7d vs last 24h adoption for {{feature}}. Output: DAU/WAU impact, activation funnel deltas, power-user behaviors, top cohorts, leading indicators. Suggest 3 quick experiments.
Author: Tsubasa Kato
Category: Product | Model: gpt-5
List partners/vendors breaching SLA in last 24h. For each: metric, severity, affected customers, contractual remedies, escalation owner. Provide 3 corrective actions.
Author: Tsubasa Kato
Category: Operations | Model: gpt-5
If {{issue}} is trending, compile last 6h facts: what happened, who is amplifying, sentiment, competitor reactions, media inquiries. Provide holding statement bullets and next comms steps.
Author: Tsubasa Kato
Category: Communications | Model: gpt-5
Scan pricing in {{market}} for {{sku_list}} over last 24h. Flag anomalies: undercuts, MAP violations, sudden hikes. Provide screenshots/links, suspected causes, and recommended responses.
Author: Tsubasa Kato
Category: Commerce | Model: gpt-5
Identify SKUs with <{{days}} days of cover. Show demand trend last 28d vs 24h, supplier lead times, reorder points. Recommend expedite/bundle/markdown actions.
Author: Tsubasa Kato
Category: Operations | Model: gpt-5
List shipments with >{{threshold}}% ETA variance in last 24h. For each: route, carrier, cause, customer impact, recovery options. Finish with 3 fixes (reroute, carrier swap, buffer change).
Author: Tsubasa Kato
Category: Operations | Model: gpt-5
Check last 24h energy price moves in {{market}} (electricity, LNG, oil). Summarize % moves, causes, grid advisories, cost impact to {{facility}}. Suggest immediate conservation/hedge steps.
Author: Tsubasa Kato
Category: Operations | Model: gpt-5
Collect last 24h {{store}} reviews for {{app_name}}. Summarize: new themes, crash reports, rating trend, regions spiking. Provide 5 verbatim snippets (≤15 words each) and a fix/comm plan.
Author: Tsubasa Kato
Category: Product | Model: gpt-5
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
Track {{keywords}} across {{platforms}} last 12–24h. Provide: volume delta, sentiment, key accounts, viral posts, narrative frames. Give 3 content angles to ride the wave, with links and timestamps.
Author: Tsubasa Kato
Category: Marketing | Model: gpt-5
Aggregate Indicators of Compromise in last 24h relevant to {{industry}} from trusted feeds. Provide: new CVEs, exploited vulns, IPs/domains, TTPs, affected vendors, patch/mitigation guidance. Cite sou...
Author: Tsubasa Kato
Category: Security | Model: gpt-5
Review last 24h for {{platforms}} campaigns. Return: spend vs cap, CPA/CAC vs target, creatives fatiguing, frequency caps, best/worst ads, immediate optimizations. Output as a compact table + 3 action...
Author: Tsubasa Kato
Category: Marketing | Model: gpt-5
Scan deals closing this month in {{crm}} for movement in last 48h. Report: slipped stages, push reasons, blockers, exec asks, new champions. Include top 5 at-risk deals with owner and next step by dat...
Author: Tsubasa Kato
Category: Sales | Model: gpt-5
In the last 24 hours, summarize key developments for {{ticker}} ahead of its earnings call on {{date}}. Include: price moves, options IV, top headlines, analyst estimate deltas, unusual volume, social...
Author: Tsubasa Kato
Category: Finance | Model: gpt-5
Produce a crisp post-incident brief for outage {{incident_id}} within last 12h: start/end, user impact, top 3 proximate causes, current status, rollback/mitigation, next steps, ETA to full recovery. L...
Author: Tsubasa Kato
Category: Engineering | Model: gpt-5
Using last 24h data for {{segment}}, surface churn signals: cancellations, NPS drops, failed payments, key accounts at risk. Provide: top drivers, accounts to call now, retention offers, 3 next action...
Author: Tsubasa Kato
Category: Growth | Model: gpt-5
For {{base}}/{{quote}}, analyze intraday swings in the last 24h and any central bank or macro headlines moving FX. Output: range, % change, key catalysts, risk to {{business_area}}, hedge ideas. Add 3...
Author: Tsubasa Kato
Category: Finance | Model: gpt-5
Using last 14d vs 24h data, identify stages with sharp drop-offs for role {{role}}. Report: stage rates, time-in-stage, source quality. Suggest 3 fixes (JD tweak, outreach, interviewer training).
Author: Tsubasa Kato
Category: People Ops | Model: gpt-5
Create a short reflective piece about the last human astronomer observing the night sky after humanity has moved into space habitats.
Author: ChatGPT
Category: entertainment | Model: gpt-5
Story Prompt: On the planet Madoopalus, where the lines between sorcery and science are blurred, Yara Wexley is the last heir to a dynasty of techno-wizards who rule with fear and power. Raised amo...
Author: [email protected]
Category: story, prompt,story prompt, hobby | Model: GPT-4o,o3-mini,o1
Analyze the latest news articles (last 24 hours) related to the semiconductor industry. Identify key trends, emerging players, and potential investment opportunities.
Author: Business Analyst
Category: Business | Model: GPT-4
