Showing results for "name-matching"
Analyze the trade-offs that arise when a democratic government expands police powers in the name of security. Explain which safeguards reduce abuse, how oversight mechanisms can fail, and what design ...
Author: Curioprompt
Category: Society | Model: gpt-5.4-mini
Explain the main strategies a late-arriving chipmaker can use to challenge a dominant graphics and AI hardware leader. Focus on product architecture, interconnect design, software compatibility, devel...
Author: Curioprompt
Category: Technology | Model: gpt-5.4-mini
Examine how individuals with public visibility can convert adversity, exclusion, or reputation into entrepreneurial momentum. What makes a personal brand resilient, and how do naming, storytelling, an...
Author: Curioprompt
Category: Business | Model: gpt-5.4-mini
You are an expert Document Analyst and Information Extractor, specializing in technical specifications, legal agreements, and complex reports. Your primary function is to deconstruct provided document...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Propose 5 retro-themed handheld PC concepts (aesthetic + functional): materials, colorways, UI theme, and matching accessories. Include a build plan outline for one concept.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design a career product: skill gap analysis, learning path, portfolio generation, and job matching. Include ethical constraints and revenue model options.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a platform that matches brands with micro-influencers, automates briefs, and measures ROI. Include fraud detection, contracts, and revenue model.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a language learning community product: conversation matching, feedback, and structured curricula. Include moderation policies and monetization via memberships.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a blueprint for updating localization strings: ensure placeholders match, run i18n checks, and verify no abusive/unsafe text. Include review steps.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that infers code style from the repo (naming, patterns, architecture) and generates a style guide. Use it to validate future edits.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design snippet generation: pick supporting passages, highlight query terms/entities, and store offsets for UI rendering. Include how to avoid misleading snippets.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a character build philosophy guide: min-max, hybrid, and roleplay-first approaches. Provide a method to choose builds that match my fun and time budget.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a macro improvement plan for MOBA-style games: lane states, vision, objective timing, rotations, and risk management. Provide a checklist for each phase of the match.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a gaming schedule that supports sleep and recovery: cutoff times, blue-light management, hydration/food, breaks, and a ‘cooldown’ routine after intense matches.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a red-flag checklist for ticket terms: non-refundable traps, no-show penalties, name change impossibility, and agent fees. Provide a quick ‘read this first’ list.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Teach me rapport techniques that feel natural: naming, summarizing, small disclosures, and shared goals. Provide examples for first meetings and cold intros.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Create a harm-minimization checklist: avoid naming private individuals unnecessarily, avoid sharing operational details that enable harm, and use responsible framing. Provide examples and escalation g...
Author: Assistant
Category: governance | Model: gpt-4o
Design a DAW template for my genre: track layout, buses, gain staging targets, basic processing chain, and export settings. Include naming conventions and a quick ‘session hygiene’ checklist.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Define a measurement dashboard: reach, retention, saves, clicks, conversions, and content ROI. Include UTM conventions, naming taxonomy, and weekly review questions.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create an MCP-first design: define servers, tools, schemas, and a permission model. Provide naming conventions, versioning, and a “deny-by-default” policy for tool exposure.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a prompt library system: naming conventions, tags, versioning, prompt tests, and a quarterly pruning process. Output a folder structure and a template for each prompt entry.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create an ABM kit for 10 named target accounts: personalized angle, 3 outreach emails, 2 LinkedIn posts, 1 tailored case study outline, and a landing page variant per segment.
Author: Assistant
Category: content-generation-2026 | 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
Design an intercultural exchange project between Tokyo and NYC classes: weekly prompts, asynchronous video messages, partner matching, and safety/privacy rules.
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
Plot xG timeline vs actual goals. Explain variance, key chances, and game state effects. Add ‘what we learned’ bullets and a player-of-the-match poll.
Author: Assistant
Category: data-recap-engagement | Model: gpt-4o
Create 10 ultra-short clips; ask users to identify pitch type. Show reveal cards with movement profiles and pitcher comps.
Author: Assistant
Category: micro-quiz-video-series | Model: gpt-4o
Train a simple LTR model with handcrafted features (BM25 score, title match, click priors). Provide cross-validation setup and feature importance chart.
Author: Assistant
Category: ml-lab-IR | Model: gpt-4o
Create a unified token system (color, type scale, spacing) that maps to vehicle HMI, avionics UI, and magazine digital styles. Provide naming, theming, and accessibility tests.
Author: Assistant
Category: design-systems-crossdomain | Model: gpt-4o
ChatGPT defines naming/expiry rules; Cursor adds audit logs and cleanup jobs; Antigravity reports stale flags each sprint and opens removal PRs. Provide a governance doc.
Author: Assistant
Category: product-governance | Model: gpt-4o
Build an eval that scores ground-truth attribution (exact passage match), answer faithfulness, and coverage. Provide dataset schema and a nightly regression plan.
Author: Assistant
Category: evaluation-frameworks | Model: gpt-4o
Translate macro indicators (inflation, rates, PMI) into sector and company impacts. Output a watchlist with likely winners/pressured names conceptually.
Author: Assistant
Category: investing-macro-bridge | Model: gpt-4o
For one named competitor, produce a single-page brief: who they win with, why they win, where they are weak, and our counter. Include a 30-second sales script.
Author: Assistant
Category: battlecard | Model: GPT-5.1
Define naming, ownership, expirations, and logs for flags. Add a cleanup ritual and audit queries. Output a governance SOP.
Author: Assistant
Category: governance-engineering | Model: gpt-4o
Write a runbook: naming conventions, asset library, translation workflow, approval matrix, and backup owners for TW/US holidays.
Author: Assistant
Category: martech-operations | Model: gpt-4o
Write a CLI that scans subfolders for git repos and prints ahead/behind, dirty files, LFS usage, and default branch. Flags: --pull, --fetch, --branch <name>, --json. Respect SSH agent/Keychain/CredMan...
Author: Assistant
Category: cli-tool | Model: gpt-4o
Write 12 short jokes about spelling your name on cups, loyalty apps, and pastry indecision. Family-friendly. JSON {setup,punchline}.
Author: Assistant
Category: humor | Model: gpt-4o
Create a CLI to list/start/stop services using systemctl/launchctl/Windows ServiceController. Flags: --list, --status name, --restart name, with privilege checks and logs.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Build an interactive process picker (name regex, CPU %, memory). Provide --kill, --nice/priority, and dry-run. Show per-OS privilege notes and safety prompts. Export CSV of actions.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Build a CLI to list/set default input/output devices and volumes. Use CoreAudio/pulseaudio/wasapi. Flags: --list, --set 'Device Name', --mute, --vol 30. Print per-OS permissions.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Act as an NLP architect. Build a KG from UMLS/MeSH and a RAG stack for question answering: entity linking, relation extraction, indexing strategy, and evaluation (exact match, factuality).
Author: Assistant
Category: biomed-NLP | 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 growth analyst. Design a thumbnail A/B program: test matrix (faces, contrast, text density), CTR/AVD readout, production spec (safe zones), and a weekly review ritual. Provide a 10-variant te...
Author: Assistant
Category: creator | Model: gpt-4o
Act as a studio guide. Build a tabletop workflow: sweep setup, diffused key, flags, polarizers, tethering, and dust/spot cleanup. Include a file naming and export spec for marketplaces.
Author: Assistant
Category: photography | Model: gpt-4o
You are a DAM architect. Create a 3-2-1 backup plan, folder schema, file naming convention, and IPTC keyword strategy. Include cloud and offline options plus a restore drill.
Author: Assistant
Category: photography | Model: gpt-4o
For a 12-bit SAR ADC and PLL, provide layout tactics: common-centroid matching, guard rings, substrate isolation, well taps, shielding, dummy fills, coupling control, and latch-up prevention. Include ...
Author: Assistant
Category: chip-design | Model: gpt-4
Design a yield-ramp methodology: defect density assumptions, critical area analysis, redundancy strategies, pattern-matching for systematic defects, Pareto dashboards, and wafer map analytics. Include...
Author: Assistant
Category: chip-design | Model: gpt-4
Define an STP pipeline in London around LDI rebalancing and collateral waterfalls. Include trade capture, matching/affirmation, CCP steps, and fails management. Return a flow description and an except...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Define an STP pipeline in Tokyo around corporate cash management with MMF/time deposits. Include trade capture, matching/affirmation, CCP steps, and fails management. Return a flow description and an ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Prepare a spec to render X-bar/R and P charts with rule violations. Include input column names, calculation steps, and UI annotations. Output as Markdown + CSV example.
Author: Curioforce Corp. Corp.
Category: Industrial Visualization | Model: gpt-5-thinking
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Match winter foods in China with hot drinks. Emphasize Cantonese slow‑simmered soups. Output a pairing list: dish → drink (tea/infusion/malt/cocoa), sweetness level, why it works, ideal time (morning/...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Plan a winter street‑food crawl in Japan around regional nabe (yose, chanko, motsu). Output a table with: rank, stall/name, exact spot (market/station), signature dish, spice/heat index (0–5), best ti...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Plan a winter street‑food crawl in China around northern dumplings & steamed buns. Output a table with: rank, stall/name, exact spot (market/station), signature dish, spice/heat index (0–5), best time...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
List vegetarian/vegan winter warmers in Taiwan centered on fried stinky tofu with hot broth sides. Include protein source, toppings, and a simple at‑home adaptation in 120 words each. Output as JSONL—...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Find 10 late‑night winter bites in Japan featuring Kyoto yudofu & tofu hotpots. Return as JSON array with objects: name, area, midnight_window, line_tip, warmest_version.
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
List vegetarian/vegan winter warmers in Korea centered on spicy seafood stews. Include protein source, toppings, and a simple at‑home adaptation in 120 words each. Output as JSONL—one dish per line wi...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Find 10 late‑night winter bites in China featuring Yunnan mushroom hotpot. Return as JSON array with objects: name, area, midnight_window, line_tip, warmest_version.
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Match winter foods in Japan with hot drinks. Emphasize izakaya grills with winter specials. Output a pairing list: dish → drink (tea/infusion/malt/cocoa), sweetness level, why it works, ideal time (mo...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Create an architects’ trail in Hawaii (Oʻahu & Maui), USA: 12 buildings with architect names, completion years, and best façade angles. Output as CSV lines.
Author: Inspire Search Corp.
Category: Travel Photography (USA) | Model: gpt-5-thinking
Create an architects’ trail in Bangkok, Thailand: 12 buildings with architect names, completion years, and best façade angles. Output as CSV lines.
Author: Inspire Search Corp.
Category: Travel Photography (Asia) | Model: gpt-5-thinking
Build a reflections map for Vienna, Austria: rivers, glass façades, polished stone, puddles. Return 14 pins as CSV text with columns: name, surface_type, best_weather, time, lat, lon, notes.
Author: Inspire Search Corp.
Category: Travel Photography (Europe) | Model: gpt-5-thinking
Map 12 Brutalist/Modernist structures in Penang, Malaysia. For each, add a contrast idea (soft human element, plant, sky gradient). Output KML snippet with Placemarks (name, description, coordinates).
Author: Inspire Search Corp.
Category: Travel Photography (Asia) | Model: gpt-5-thinking
Design a repurposing workflow: take 5 blog posts and convert each into 1 LinkedIn carousel, 1 X thread, 2 Reels/Shorts, 4 Stories. Include prompt templates and a naming/UTM convention.
Author: Inspire Search Corp.
Category: Operations | 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: 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
Craft a sharp Category Point‑of‑View (POV) for {product}. Include: Enemy (status quo), New Truths, Naming the Shift, Promised Land, Roadmap to Credibility, Lightning‑Strike moments for {platforms}, an...
Author: Tsubasa Kato
Category: Product Ideation | Model: gpt-5
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
Generate 50 viral‑tested hooks and matching CTAs for {niche} on {platform}. For each, provide: Hook (≤80 chars), CTA, Psychological Trigger, Risk Flags (privacy/claims/IP), Safer Alternative if any, a...
Author: Tsubasa Kato
Category: Influencer Growth | Model: gpt-5
Generate 10 A/B test hypotheses for landing page sections (hero, social proof, pricing, FAQ). Include matching X/TikTok/YouTube messaging variants to keep cross-platform alignment. Define expected lif...
Author: Tsubasa Kato
Category: experimentation | Model: gpt-5-thinking
Write landing page copy for {{ICP}} in JP and EN. Sections: hero (UVP + visual idea), benefits, proof, pricing, FAQ, CTA. Add matching X/TikTok/YouTube posts to announce the page update.
Author: Tsubasa Kato
Category: copywriting | Model: gpt-5-thinking
Brainstorm 30 brandable app names for {{theme_keywords}} (short, .com/.io/.app friendly). For each: meaning, tone, potential trademark risks (high/med/low), and X handle availability suggestion. Provi...
Author: Tsubasa Kato
Category: branding | Model: gpt-5-thinking
For {{topic}}, propose 12 YouTube video ideas optimized for search intent. For each: exact-match variant title, supporting keywords, chapter timestamps, thumbnail text (≤3 words), and Shorts hooks. Ad...
Author: Tsubasa Kato
Category: marketing-youtube | Model: gpt-5-thinking
Identify top 10 competitors for {{app_niche}} (global + Japan). Build a white-space matrix: - Rows: competitor - Columns: feature depth, UX speed, pricing model, ICP match, platform presence (X/TikTok...
Author: Tsubasa Kato
Category: strategy | Model: gpt-5-thinking
For product <name>, compute unit economics: revenue mix, discounts, gross margin, CAC payback, LTV/CAC, and contribution margin. Recommend price tiers and packaging. Provide a waterfall from list to n...
Author: ChatGPT
Category: CFO | Model: GPT-5 Thinking
Liquidity returning for quality names (Klarna, Figure, LB Pharma). Action: refresh S-1 drafts and audit readiness; re-benchmark comps; consider dual-track (IPO vs. strategic) exits.
Author: ChatGPT
Category: Capital Markets | Model: GPT-5 Thinking
Create an implementation plan for server-side tagging and consent management (Consent Mode-style) across Japan, US, and EU sites. Include container architecture, data flows, event naming conventions, ...
Author: ChatGPT
Category: business | Model: gpt-5
Create an ABM 2.0 program that fuses Bombora-style intent signals, LinkedIn Matched Audiences, and first-party website behavior. Provide target-tiering logic, content offers per buying stage, SDR foll...
Author: ChatGPT
Category: business | Model: gpt-5
You are an **expert task planner** with a precise, analytical, and user-sensitive communication style. Your job is to transform vague or high-level goals into clear, structured, and actionable sub-tas...
Author: [email protected]
Category: Planning, Plan, Goal | Model: GPT-4.1, GPT-4, o4-mini, o4-mini-high, o3
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