Showing results for "citations"
Create a practical framework for maintaining academic integrity in graduate research and public-facing interviews, covering citation practices, verification processes, detection tools, and institution...
Author: Curioprompt
Category: Education | Model: gpt-5-nano
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
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
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
Design an artifact ledger storing RFCs, diffs, test reports, benchmarks, deploy logs, and citations. Include retention policy and query patterns for audits.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a documentation crawler for self-improvement research that respects robots.txt, rate limits, and TOS. Include caching, dedupe, and citation storage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a schedule for the research agent to pull release notes, CVEs, and docs updates, summarize changes, and propose actionable backlog items with citations.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an enterprise knowledge OS: ingestion, dedupe, governance, and verified answers with citations. Include integration plan, security model, and pricing.
Author: Assistant
Category: future-monetization | 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 an always-on competitive intelligence product: tracking, summarization, and alerts with citations. Include pricing tiers for startups vs enterprise.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a doc search agent that indexes internal docs, code comments, and ADRs, then answers “why is this here?” with citations for maintainers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a doc crawler + citation store so the agent can quote authoritative sources for API usage and edge cases. Include freshness checks and version pinning.
Author: Assistant
Category: safe-self-improving-ai | 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 end-to-end architecture for a research bot that uses web search APIs, page fetching, and summarization. Include modules, data flow, storage, caching, and citation strategy.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a citation system: store supporting snippets, anchor to URL + section/page, and enforce quote-length limits. Include how to generate citations in final responses automatically.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create three output modes: executive brief (short), analyst memo (deep), and student explainer (teaching). Include structure, tone, and citation density rules for each.
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
Create a source scoring rubric: domain trust, author expertise, citations, recency, and conflicts of interest. Output a weighted scoring model and how to tune it per domain.
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
Create a truthfulness policy: source requirements, citation rules, and how to label speculation. Provide a checklist for editors/analysts and an automated linting concept.
Author: Assistant
Category: recursive-ai-safety | 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
Design evaluation metrics: search precision/recall, source diversity, citation correctness, and user satisfaction. Include how to create labeled datasets and measure improvements.
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
Design content versioning: snapshots, change logs, and references to “as of” dates for citations. Include retention and storage cost considerations.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a standard research brief template: executive summary, key findings, evidence table, open questions, and citations. Include options for analyst vs layperson formats.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Plan export: Markdown report, PDF generation, and CSV evidence table. Include how to preserve citations and embed “as of” timestamps consistently.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Teach me how to use wikis/forums responsibly: check edit history, citations, expert participation, and corroboration. Provide a checklist and caution rules.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain how to interpret preprints vs peer-reviewed work. Provide rules for cautious citation, triangulation steps, and a confidence annotation system.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a checklist for evaluating info from podcasts/YouTube: guest credentials, citations, edits, sponsorships, and cross-checking. Include note-taking template.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a blueprint for TOEFL Integrated Writing: paraphrase strategy, citation language without quoting, and paragraph structure. Provide a checklist to avoid common penalties and 3 sample outlines.
Author: Assistant
Category: toefl-2026 | 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
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 policy for explanations: cite sources, show assumptions, and label uncertainty. Provide UI patterns for “why this tool was called” and “why this conclusion.”
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a guide for capturing sources for later: screenshots, PDFs, citations, and metadata. Include a checklist to preserve context and avoid misquoting.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design a RAG pipeline for agents: retrieval, citation, cross-checking, and contradiction handling. Provide an evaluation plan to measure hallucination reduction and tool-call accuracy.
Author: Assistant
Category: agent-architecture | 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
Design an academic writing support plan: thesis statements, cohesion devices, paragraph structure, and citation basics. Provide exercises and feedback codes.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Design a hybrid retrieval strategy combining vector search, lexical search, and a knowledge graph layer (‘Graph-RAG’). Specify when to use which, how to evaluate, and how to keep citations reliable.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Design a provenance layer for internal RAG: citation IDs, document signing, version pinning, and ‘evidence packs’ in responses. Include UX and evaluation methods.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Write a 90-second animated explainer on RAG: embeddings, retrieval, citations. Provide visuals per beat (icons/diagrams), scene transitions, and a Sora prompt for each scene plus a Gemini prompt to ge...
Author: Assistant
Category: educational-video | Model: gpt-4o
Blueprint a RAG system for a lab wiki and PDFs: chunking policy, hybrid retrieval, and citation-anchored answers. Add privacy filters.
Author: Assistant
Category: applied-IR-LLM-academia | Model: gpt-4o
Answer a design prompt: scholarly search with citation grounding. Provide indexing pipeline, re-ranking, and dedupe heuristics with diagrams.
Author: Assistant
Category: advanced-design-exercise-IR | 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
Architect a retrieval stack with hybrid search, temporal decay, dedup, and passage-level citation anchors. Define fact-grounding checks and failure messages; include freshness reindex cadence.
Author: Assistant
Category: retrieval-grounding-LLM | Model: gpt-4o
Define observability: token usage distributions, tool call success, citation density, and hallucination alerts. Provide redaction-safe logs and dashboards.
Author: Assistant
Category: platform-observability-LLM | Model: gpt-4o
Plan A/B tests: citation density, inline previews, and confidence badges. Define success metrics (task time, trust score, correction rate) and sample size math.
Author: Assistant
Category: product-experiments | Model: gpt-4o
Create a pipeline that generates questions from documents, with required answer spans and citations. Provide filters for ambiguity and leakage checks.
Author: Assistant
Category: data-generation-eval | 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
Create a cross-lingual flow: detect language, translate queries, use multilingual embeddings, and cite in user language while preserving original quotes. Provide locale heuristics and typography rules...
Author: Assistant
Category: internationalization-research | Model: gpt-4o
Create a compression stage with map-reduce summaries, selective citation carry-through, and entropy-based token pruning. Provide metrics (coverage, faithfulness) and an ablation plan.
Author: Assistant
Category: context-engineering | Model: gpt-4o
Specify constrained modes with scope limits, consent prompts, guideline links, and mandatory citation density. Provide refusal templates and domain-specific disclaimers.
Author: Assistant
Category: policy-governance | Model: gpt-4o
Set rules when to quote vs paraphrase; enforce quote length caps and citation proximity. Provide detectors for unattributed paraphrase and a remediation flow.
Author: Assistant
Category: content-governance | Model: gpt-4o
Design a UI: inline citations, hover previews, source quality badges, and ‘expand to passage’. Include keyboard flows and accessibility specs (WCAG). Output wireframes and event schema.
Author: Assistant
Category: product-UX-research | 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
Build a quick patent and standards map for 5 hardware rivals. Note assignees, citation networks, relevant standards bodies, and likely lock-ins. Output white-space opportunities and design-around idea...
Author: Assistant
Category: IP-landscaping | Model: GPT-5.1
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: 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: 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: 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: 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
For {{question}}, outline a quick research plan (queries, trusted sources). Then produce a 5-bullet answer with inline citations and a short section: what remains unknown and how to find it.
Author: ChatGPT
Category: Research | Model: gpt-5
