Tool category
Model APIs
Hosted model APIs for product features and automation.
Use this category when a product or workflow needs LLM, multimodal, search, or voice capability behind an interface or automation pipeline.
Recommended tools
OpenAI APIGeneral-purpose model APIs for product builders.ClaudeLong-context assistant for writing, analysis, and coding workflows.GeminiGoogle model family for multimodal and workspace-aware AI.TavilySearch API designed for AI agents and research workflows.DeepgramVoice AI APIs for speech-to-text, text-to-speech, and voice agents.AssemblyAISpeech AI APIs for transcription, speech understanding, and voice agents.ElevenLabsVoice AI platform for narration, dubbing, and TTS products.LangChainAgent engineering framework and observability platform.LlamaIndexData and RAG framework for knowledge-heavy AI applications.VapiVoice agent platform for phone, web, and product voice workflows.ReplicateHosted model API for open image, video, audio, and ML models.Hugging FaceOpen model hub and AI infrastructure for builders.Mistral AIEuropean model platform for frontier models, agents, and enterprise AI.CohereEnterprise AI platform for Command, Embed, Rerank, and RAG systems.ExaAI search API for grounded agents and research workflows.PineconeManaged vector database for RAG, semantic search, and AI assistants.WeaviateAI-native vector database with free cloud and deployment flexibility.
Related workflows
Model API product prototype workflowSelect and test model APIs for a product feature before committing to architecture, pricing, or vendor lock-in.Research assistant workflowTurn open web research into source-backed notes, comparison tables, and a decision-ready recommendation.Voice agent API prototype workflowPrototype a voice AI feature with real audio fixtures, latency checks, transcript review, and privacy boundaries before committing to a provider.
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.Model API selection framework for AI product buildersA method for comparing model APIs by task fit, quality, latency, cost, privacy, and fallback strategy.How to judge whether an AI tool is worth paying forA practical framework covering replacement cost, reliability, privacy, team fit, and switching risk.Voice agent API selection frameworkA practical method for evaluating speech-to-text, TTS, and voice agent APIs with real audio fixtures, latency targets, and privacy review.AI prototype hardening checklistA practical checklist for deciding when an AI-generated prototype is ready for engineering review, production hardening, or rebuild.