Showing results for "bots"
Analyze the problem of trust in digital spaces where users cannot easily tell whether content comes from a person, a bot, or an AI system. What responsibilities should platforms have for labeling synt...
Author: Curioprompt
Category: Society | Model: gpt-5.4-mini
Create a plan for coding standards that includes auto-fixers (formatters) and a “fix-it PR” bot, with reviewer load controls and staged rollout.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a ranking formula: lexical relevance, semantic similarity, trust score, freshness decay, and diversity penalty. Include how to tune weights and validate offline/online.
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 indexing: title/body, entities, dates, authors, domain, language, and reliability score as facets. Include query patterns and how to support analyst workflows.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design storage: raw HTML, cleaned text, metadata, embeddings, and caches. Include schema, retention rules, and how to support reprocessing when extractors improve.
Author: Assistant
Category: research-bot | Model: GPT-5.2
If browser automation is required, design a policy: strict allowlists, minimal interaction, rate limits, and recording of steps. Include risk assessment and a user-facing disclaimer template.
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
Plan how to use sitemaps and RSS/Atom feeds to discover content efficiently. Include scheduling, change detection, and fallback to crawl when feeds are missing.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a URL frontier with ranking signals: relevance to query, freshness, link context, domain trust, and duplication risk. Include pseudocode-level description and metrics.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a politeness policy: per-domain rate limiting, crawl-delay handling, time windows, and exponential backoff. Include instrumentation to prove compliance.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a crawl plan: seed selection, depth limits, domain allowlists, URL patterns, and prioritization heuristics. Include a method to estimate crawl cost and coverage.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Plan an alert system: define watchlists, schedule searches, diff results, and send notifications. Include dedupe, false positive controls, and ‘significance’ scoring.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design two operating modes: news (high freshness, fast) vs evergreen (depth, books/papers). Include different source scoring, caching, and output formats.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design cross-language research: translate queries, search in multiple languages, normalize entities, and merge evidence. Include how to detect mistranslations and preserve proper nouns.
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 method to cluster collected sources into themes: embeddings, hierarchical clustering, and label generation. Include how to keep clusters stable across updates.
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
Design a bias-control policy: require diverse sources (geography, institution, viewpoint), detect monocultures, and add “missing perspective” prompts. Include reporting in outputs.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a workflow for conflicting sources: identify disagreements, categorize (definition vs data vs interpretation), and present balanced conclusions with confidence levels.
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 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
Draft a policy for paywalled/restricted content: detect paywalls, avoid bypass, rely on accessible sources, and suggest user-provided excerpts when needed. Include user messaging guidelines.
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 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
Plan a resilient fetching layer: retries, exponential backoff, timeouts, caching, and content-type handling. Include how to avoid hammering sites and manage 429/503 responses.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design deduplication: canonical URL normalization, redirect resolution, content hashing, and near-duplicate clustering. Include evaluation metrics for dedupe accuracy.
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
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
Design a query planning module that expands a user question into search operators, sub-queries, and entity lists. Include multilingual support and query diversification strategies.
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
Draft a safety policy for the research bot: sensitive topics, privacy boundaries, defamation risk, and when to ask the user for confirmation. Include a user-facing explanation style.
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
Design a user experience: question intake, clarifying questions, showing sources, evidence table, and exporting. Include interaction patterns for analysts vs casual users.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create an ethical strategy for JS-heavy pages: prefer official APIs, use server-rendered alternatives, and gracefully degrade. Include guidelines for when to skip a site and explain why.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Draft a compliance-first plan: robots.txt handling, site terms, user-agent identification, rate limiting, and respectful crawling. Include an ethics checklist and escalation rules.
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
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
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 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 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
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
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 testing strategy: unit tests for extractors, integration tests for API calls (mocked), and golden report tests to detect synthesis drift. Include CI gating rules.
Author: Assistant
Category: research-bot | 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
Design a sanitization pipeline for retrieved content: strip instructions, isolate quotes, and prevent tool-use hijacks. Include adversarial test cases and regression suite.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design PII handling: detection, redaction, retention limits, and access controls. Include how to avoid collecting unnecessary personal data and how to respond to removal requests.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design security controls: API keys storage, least privilege, environment separation, and audit logging. Include rotation policy and incident response playbook.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a unified rate limit manager: per-provider quotas, burst control, adaptive throttling, and retry policies. Include how to schedule jobs to maximize throughput within limits.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Build a cost model: per-query search API costs, per-page fetch cost, storage, embeddings, and LLM tokens. Provide formulas and a budgeting plan with guardrails.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design caching: query result caches, page caches, and embedding caches. Include invalidation rules based on freshness requirements and how to prevent stale conclusions.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design orchestration: task queues, worker pools, priority classes (interactive vs batch), retries, and idempotency. Include a simple architecture for cloud deployment.
Author: Assistant
Category: research-bot | Model: GPT-5.2
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
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
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
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
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
Propose TikTok + Telegram funnel for Baghdad students/young pros (AR/EN). Provide 12 hooks, low-data creatives, and Telegram bot flows. Add quiet-hours policy and safety copy; target ≥70% predicted en...
Author: Assistant
Category: emerging-markets-acq | Model: gpt-4o
ChatGPT defines style/convention rules; Cursor runs auto-fixes (format/import/order); Antigravity enforces in CI and opens weekly hygiene PRs. Include opt-out rules.
Author: Assistant
Category: code-hygiene | Model: gpt-4o
Specify a bot that watches stock levels, predicts reorder points, and sends purchase orders. Provide SQL sketch for inputs, and a JSON payload for a webhook to the supplier.
Author: Curioforce Corp. Corp.
Category: Small Business Automation | Model: gpt-5-thinking
Outline mechanics for a compliant giveaway or engagement loop: entry, validation, anti-bot measures, winner selection, and fulfillment. Provide a risk checklist for platform policies.
Author: Curioforce Corp. Corp.
Category: Viral Content | Model: gpt-5-thinking
Design a giveaway strategy that grows qualified followers without low-quality entrants. - Prize-market fit matrix - Entry mechanics (save, comment keyword, UGC submission) and anti-bot checks - Platfo...
Author: Inspire Search Corp.
Category: Growth | Model: gpt-5-thinking
Goal: define sessionization robustly and filter bots. Data: raw web logs + GA4 BigQuery. Steps: 1) Build session rules (30m inactivity, campaign change resets); 2) Bot filters using IP ranges, UA rege...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
I see “LLM” everywhere—how is it different from old-style chatbots?
Author: Community
Category: Comparison | Model: GPT-4