Showing results for "claim-extraction"
You are an elite, highly specialized 'Australia Mining Technology and Mineral Processing Expert'. Your expertise spans the entire modern mining value chain, from exploration expenditure trends to comp...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are a highly specialized AI Consultant and Expert Analyst focused exclusively on the Turkish Textile, Apparel, and broader Manufacturing Sector. Your expertise must integrate deep knowledge of Tur...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an elite Strategic Technology and Policy Advisor, specializing exclusively in the South Korean semiconductor, high-tech manufacturing, and national economic strategy sectors. Your knowledge ba...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
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
You are an expert **Digital Forensics Analyst** specializing in interpreting and documenting complex digital artifacts, particularly those derived from **image and document metadata** (EXIF, IPTC, XMP...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Create a pipeline that helps teams move from research to patent drafts ethically: novelty checks, claim brainstorming, prior art summaries, and attorney collaboration prompts.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a linter for agent prompts: ban risky instructions, require citations for factual claims, enforce “no tool calls from untrusted text” policies.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Propose a medical-adjacent product focusing on admin/workflow (not diagnosis): scheduling, documentation, claims support. Include compliance constraints and pricing.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design traceability: map docs claims to tests that verify them. The agent should propose missing tests when docs promise behavior without coverage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a process where the agent checks a proposed change against official documentation versions, release notes, and migration guides. Require citations for claims.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a modularization plan: identify seams, extract modules, keep interfaces stable, and add integration tests. Require incremental steps and metrics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a research agent that uses search APIs and page fetchers to gather evidence for a proposed code change. Require citations and source quality scoring.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that ingests postmortems and incident tickets, extracts recurring causes, and proposes preventative code/monitoring changes. Require human review.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a semantic diff summarizer: describe functional change, impacted modules, migration needs, and risks. Require it to cite tests/benchmarks that support claims.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a circular economy brand powered by AGI: demand prediction, pricing, refurbishment workflows, and marketing. Include sustainability claims guidelines and unit economics.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a multi-agent approach: planner creates sub-queries, retriever collects sources, reader extracts claims, writer synthesizes. Include handoff artifacts and consensus checks.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a claim extraction step: identify factual assertions, attach supporting evidence, and flag unsupported claims. Include scoring for evidence strength and contradictions.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a freshness strategy for research: recency-aware search, change detection, and update alerts. Include how to present “as of” dates and avoid outdated claims.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design hallucination controls: enforce evidence-only summarization, require citations for key claims, and label uncertainty. Include prompts and automated checks (linting).
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a QA workflow: sample-based review, check citations, verify key claims, and approve final briefs. Include reviewer guidelines and a severity rubric.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a content extraction module: boilerplate removal, main-content detection, metadata extraction (title/author/date), and language detection. Include fallback strategies for messy pages.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design an extractor for structured data: schema.org/JSON-LD, OpenGraph, and meta tags. Include how to validate and store structured fields for downstream search.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design domain packs: specialized source allowlists, stricter citation rules, and domain-specific extraction (e.g., trials, filings). Include how to swap packs safely.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design an entity extraction + graph pipeline: NER, entity resolution, relationship extraction, and graph storage. Include queries to answer “who is connected to what.”
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a plan for handling PDFs: downloading, parsing text, capturing page numbers, and generating citations. Include limitations and a quality checklist for extraction accuracy.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design how to expose search/fetch/extract as MCP tools: schemas, permissions, and audit logs. Include example tool definitions and a safety policy for tool use.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design an evidence table format (CSV/JSON): each claim mapped to sources, snippets, dates, and reliability scores. Include how to generate it automatically from the pipeline.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a selection matrix for available APIs: search/SERP providers, content extraction, crawling, and anti-bot friendly approaches. Compare cost, rate limits, coverage, and TOS constraints.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a 90-day plan to ship an MVP: milestones, API integrations, extraction, indexing, citation system, and UI. Include risk register, budget, and acceptance criteria for launch.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Explain digital collectibles in a neutral way: utility vs cosmetic, ownership models, risks, and how to evaluate claims. Keep it educational, avoid hype, and include safety tips.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a PR pack: press release, founder quote, media pitch email, FAQ, and 5 social posts. Include a ‘what not to claim’ section and a fact-check list.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create a speaking template for 45–60 second responses: claim, reason, example, wrap. Provide 20 prompts, transition phrases, and a scoring rubric aligned to coherence/pronunciation/grammar.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Build a corroboration matrix template: claim, primary source, secondary confirmations, contradictions, and evidence strength. Include rules for publication readiness for different platforms (web, TV, ...
Author: Assistant
Category: verification | Model: gpt-4o
Design a workflow where content drafts are generated from a curated knowledge base with citations. Output: ingestion rules, citation format, hallucination checks, and an authoring template that forces...
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create a rumor-control checklist: how to verify info, prioritize official sources, avoid sharing unverified claims, and handle uncertain situations. Provide a decision tree for ‘share vs wait’.
Author: Assistant
Category: preparedness | Model: gpt-4o
Create a strategy for integrated speaking tasks: how to extract the thesis, key contrasts, and supporting examples. Provide a note format and 5 practice sets with model answer outlines.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Write a contrarian thought leadership piece: bold thesis, evidence, counterarguments, and practical framework. Provide 5 punchy headlines and 10 short extracts for social.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create a pre-publish QA checklist: claims requiring sources, sensitive statements, legal/compliance notes, and brand safety. Provide a ‘red/yellow/green’ scoring rubric and remediation steps.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Help me craft a persuasive message using Claim→Evidence→Impact. Provide a template and rewrite my draft. Then suggest what data would best strengthen the case.
Author: Assistant
Category: soft-skills | Model: GPT-5.2
Help me decompose any claim into sub-claims (who/what/when/where/how confident). Provide a template and demonstrate with a sample claim I provide.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a template for debunking a claim responsibly: state the claim, evidence review, uncertainties, and conclusion. Emphasize respectful tone and humility.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Give me a triangulation playbook: how to confirm a claim using 3 independent sources (primary, reputable secondary, and domain expert). Include “independence tests” to avoid circular citations.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a workflow to validate company claims using earnings calls, filings, press releases, and reputable coverage. Include a checklist for bias and PR spin.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to validate a Wikipedia claim by following citations to their sources and checking whether the citation truly supports the statement.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Show me how to verify policy or regulatory claims by finding official text, amendments, effective dates, and authoritative summaries. Include a workflow and checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a strategy for monitoring reliable information during emergencies: official sources, local alerts, rumor filtering, and a checklist to verify claims before sharing.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Design a personal knowledge base for verification: note schema (claim, source, confidence, date), tagging, and weekly maintenance routine. Provide templates.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Given a claim, propose datasets, proxies, and public records that could validate it. Provide a plan for collection, cleaning, and analysis, plus chart ideas and caveats.
Author: Assistant
Category: analysis | Model: gpt-4o
List 12 red flags for misinformation and low-trust content (manipulative framing, missing methodology, fake experts, etc.). Then show how to rewrite a claim into a testable statement.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a guide to evaluating maps and location claims: official maps, open map data, update timing, and common pitfalls. Include a validation workflow.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Write a 60-second mini-doc (generic, respectful): farm→processing→roasting→cup. Provide scene prompts and a voiceover with no brand claims.
Author: Assistant
Category: mini-doc | Model: gpt-4o
Teach prompting patterns that require citations and counter-claims. Provide rubric and examples on scientific topics.
Author: Assistant
Category: evidence-first-LLM-skills | Model: gpt-4o
Extract hard truths from customer feedback without ego or bias.
Author: Assistant
Category: product | Model: gpt-4o
ChatGPT extracts and drafts keys/phrases; Cursor injects i18n scaffolding and screenshot tests; Antigravity runs locale builds and visual diffs. Provide glossary and fallback policy.
Author: Assistant
Category: globalization-engineering | Model: gpt-4o
Specify a KG-augmented RAG: entity/link extraction → KG lookup → vector recall → late fusion ranking. Provide ranking features (entity overlap, path length), and a sample Gremlin/SPARQL query pack.
Author: Assistant
Category: hybrid-retrieval-kg | Model: gpt-4o
Create reusable templates: 1-page brief, deep dive, executive summary. Define required sections (claims,evidence,risks,unknowns) and auto-fill rules from the pipeline.
Author: Assistant
Category: reporting-templates | Model: gpt-4o
Design a retrieval pipeline that enforces source-anchored answers. Include chunking policy, hybrid retrieval (BM25+embeddings), quote extraction with line/section anchors, and footnote rendering. Outp...
Author: Assistant
Category: retrieval | Model: gpt-4o
Design a template that compares 3–8 sources across claims, methods, and biases. Provide a scoring rubric and a ‘consensus vs dissent’ table format.
Author: Assistant
Category: synthesis-templates | Model: gpt-4o
Specify table extraction, PDF figure capture, and caption grounding. Define when to quote vs paraphrase, and include a screenshot-to-citation workflow.
Author: Assistant
Category: content-extraction | Model: gpt-4o
Create an exporter that converts answers into JSON/CSV with fields (claim,evidence,source_url,confidence,timestamp). Provide schemas and sample exports.
Author: Assistant
Category: reporting-integration | Model: gpt-4o
Compare ESG claims and actuals: packaging, energy, sourcing. Score risks of greenwashing. Outline credible moves that resonate with buyers.
Author: Assistant
Category: sustainability-intel | Model: GPT-5.1
Provide a preflight checklist for marketing claims across US and Taiwan (medical/financial avoidance, comparative ads), legal sign-off workflow, and incident response plan.
Author: Assistant
Category: brand-governance | Model: gpt-4o
Provide 30 RW data interpretation items (tables, charts) focusing on claims vs evidence, trend language, and misread traps.
Author: Assistant
Category: RW-data-SAT | Model: gpt-4o
Provide pre-trip health steps, basic vaccines guidance, and pharmacy counter phrases across languages. Include travel insurance claim tips.
Author: Assistant
Category: health-safety-travel | Model: gpt-4o
Act as a craft guide. Map shops for tea, ceramics, washi, and textiles around Kawaramachi and Nishijin. Add packing & shipping tips and tax-free claims.
Author: Assistant
Category: shopping-culture | Model: gpt-4o
Build a CLI for zip/tar/7z with auto-detect, password prompts, exclude globs, and integrity verify. Flags: --create, --extract, --list, --encrypt, --level. Show Windows Explorer integration tips.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Act as a research librarian. Build a step-by-step PRISMA 2020 workflow: search strings (PubMed/Scopus/IEEE Xplore), deduping plan, screening rubric, data extraction sheet, risk-of-bias matrix, and a f...
Author: Assistant
Category: research | Model: gpt-5
You are a clinical NLP lead. Build a de-identification-first pipeline: PHI scrubbing, section segmentation, entity extraction (SNOMED/LOINC), and cohort retrieval. Include audit logs and drift checks.
Author: Assistant
Category: health-IT | Model: gpt-5
You are a compliance lead. Summarize guardrails for healthcare shows: claims language, demo data masking, HCP interactions, and handout approvals. Provide a pre-clear checklist.
Author: Assistant
Category: trade-show | Model: gpt-4o
You are an imaging scientist. Design a pipeline: DICOM import, segmentation (MONAI), feature extraction, harmonization (ComBat), model training, and calibration. Include a reporting spec.
Author: Assistant
Category: imaging-ml | Model: gpt-5
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 competitive analyst. Create a one-page card for each competitor: pitch summary, demo claims vs proof, pricing hints, ICP, objection handling, and “watch for” features. Include a rumor vs ver...
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a rights-savvy producer. Summarize safe music usage: TikTok sounds, YouTube library, licensed catalogs, stems, and claim avoidance. Include cue sheet template and dispute/replace workflow.
Author: Assistant
Category: creator | 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
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
Plan a monthly live stream with: teaser posts, script beats, interactive segments (polls/QR), and clip extraction for Reels/Shorts. Add a follow-up DM automation with value drops (guides, templates).
Author: Inspire Search Corp.
Category: Content | Model: gpt-5-thinking
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
Use JTBD to propose next‑gen product ideas for {target_user} in {domain}. Steps: 1) Extract core jobs + anxieties + desired outcomes from top reviews/discussions (assume sample provided), 2) Map under...
Author: Tsubasa Kato
Category: Product Ideation | Model: gpt-5
Summarize these notes into crisp bullets. Highlight decisions, open questions, and next actions with owners and suggested deadlines. Provide a 1-paragraph executive summary. Notes: {{paste}}.
Author: ChatGPT
Category: Productivity | 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
Propose an edge–cloud architecture for {{use_case}} to minimize data movement and energy. Deliver: - What runs on-device vs edge vs cloud - Compression/feature extraction strategy - Federated learning...
Author: Tsubasa Kato
Category: architecture | Model: gpt-5-thinking
Propose a federated learning setup for {{health_use_case}}. Cover: on-device feature extraction, secure aggregation, bias checks, consent UX, and fallbacks for low-resource devices. Define model+data ...
Author: Tsubasa Kato
Category: data-science | Model: gpt-5-thinking
Craft messaging for {{product_concept}} that is specific, measurable, and non-misleading. Provide claim wording, proof artifacts, disclaimers, and a review workflow. Add JP/EN variants and a content c...
Author: Tsubasa Kato
Category: marketing | Model: gpt-5-thinking
Localize messaging for JP and EN audiences. Provide: - UVP variants (JP/EN) - X/TikTok/YouTube copy adapted to tone & culture - Hashtag/keyword research (JP/EN) - Compliance notes (claims, screenshots...
Author: Tsubasa Kato
Category: localization | Model: gpt-5-thinking
Write 9 ad briefs (3 per platform: X Video, TikTok Spark, YouTube Shorts): - Hook, problem, solution, proof, CTA - Script, b-roll list, subtitle lines, end-card - Offer angle (trial/discount/waitlist)...
Author: Tsubasa Kato
Category: paid-ads | 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
I want you to act as a Deep Research analyst. Your goal is to perform an exhaustive investigation of the topic I provide, exploring it from multiple angles, sources, and frameworks. Structure your ans...
Author: [email protected]
Category: Deep Research, research, prompt, analyst, analysis | Model: GPT-5, GPT-4o, Sonar
Summarize the latest SEC filings (10-K and 10-Q) for Tesla (TSLA). Extract key financial data, identify potential risks, and assess the company's overall financial health.
Author: Financial Analyst
Category: Finance | Model: GPT-4
I’m a busy product manager looking for a quick yet effective way to generate ideas with my remote team. We often run out of time during brainstorming, and we need a way to extract the best concepts sw...
Author: Admin
Category: Brainstorming Efficiency | Model: o1 Pro