Tool category
AI Research Tools
Search and synthesis tools for cited decisions.
Use this category when the job is moving from open questions to source-backed notes, comparison tables, and decision memos.
Recommended tools
PerplexityAnswer engine for cited market, product, and tool research.TavilySearch API designed for AI agents and research workflows.ExaAI search API for grounded agents and research workflows.ClaudeLong-context assistant for writing, analysis, and coding workflows.GeminiGoogle model family for multimodal and workspace-aware AI.LlamaIndexData and RAG framework for knowledge-heavy AI applications.PineconeManaged vector database for RAG, semantic search, and AI assistants.WeaviateAI-native vector database with free cloud and deployment flexibility.CohereEnterprise AI platform for Command, Embed, Rerank, and RAG systems.FirecrawlWeb data API for search, scraping, crawling, and agent context.ApifyActor platform for web scraping, automation, and AI agent data.BrowserbaseBrowser infrastructure for web agents, automation, and data workflows.
Related workflows
Research assistant workflowTurn open web research into source-backed notes, comparison tables, and a decision-ready recommendation.AI-assisted lead enrichment workflowCombine search, enrichment prompts, and automation glue to turn raw leads into reviewed outreach-ready records.Meeting to decision memo workflowTurn meeting audio or transcripts into source-aware decisions, owners, open questions, and a reusable operating memo.
Related guides
The Qidao AI tool selection frameworkA practical seven-part framework for choosing AI tools by task fit, workflow fit, quality, cost, privacy, replaceability, and automation readiness.How to write source-backed AI research memosA method for turning AI-assisted web research into cited claims, comparison tables, confidence notes, and decision-ready recommendations.How to turn meetings into decision memos with AIA workflow for converting meeting audio or transcripts into decisions, owners, open questions, and source-backed follow-up notes.How to judge whether an AI tool is worth paying forA practical framework covering replacement cost, reliability, privacy, team fit, and switching risk.