We test and curate tools so you don't waste time on the wrong ones. Honest assessments — what they do, what they cost, and who they're best for.
Free implementation guides for SMB operators and enterprise teams — workflows, prompts, governance, and tool stacks built to ship.
28 tools found
Anthropic's AI models via API — excel at long documents, careful reasoning, and following complex instructions.
An AI notepad that captures meeting notes from your computer audio without sending a bot into the call.
A low-level orchestration framework for building stateful, multi-step agent workflows with explicit control over state, branching, and human-in-the-loop steps.
The most capable AI models available via API — power your business automations with GPT-4.
AI-powered answer engine that searches the live web and cites its sources — the ChatGPT alternative for research.
AI contract review and drafting that lives inside Microsoft Word, where lawyers already work.
Developer-focused speech-to-text API with speaker diarization, sentiment analysis, and LLM-powered features.
A framework for orchestrating role-based multi-agent teams, where specialized agents collaborate on a task under a defined process.
Best-in-class AI voice synthesis — used to create branded voice agents and audio content.
AI for personal injury firms across the whole case — intake scoring, medical chronologies, demand drafting, negotiation, discovery, and trial prep.
An AI meeting notetaker with a genuinely usable free tier — unlimited recordings, transcripts, and AI summaries at $0.
AI meeting assistant that records, transcribes, and summarizes your meetings automatically.
An AI medical scribe for independent clinics that turns the patient conversation into a structured, EHR-ready note.
An AI executive assistant that organizes your inbox and drafts replies in your own voice, learned from your sent mail.
Google's flagship AI — integrated across Gmail, Docs, Sheets, and available via API with multimodal capabilities.
AI writing assistant for grammar, clarity, tone, and generative drafts across every app you write in.
The enterprise legal AI platform — agents, document vaults, and contract intelligence used by 75+ of the AmLaw 100.
An open-source framework from deepset for building production LLM applications — RAG, search, and agents — built around composable pipelines.
The hub for open machine-learning models, datasets, and the libraries to run them — plus enterprise features for private, governed use.
A data framework for connecting LLMs to private and enterprise data — ingestion, indexing, retrieval, and agent workflows over your own content.
An open-source framework from Microsoft Research for building multi-agent applications, where agents converse to solve tasks together.
Microsoft's AI assistant embedded across Windows, Office, Edge, and Microsoft 365 business apps.
AI built into Notion for writing SOPs, summarizing notes, and managing internal knowledge.
OpenAI first-party agent toolkit — a visual Agent Builder, embeddable ChatKit UI, a connector registry, and evals, billed at plain API rates.
Real-time meeting transcription with AI-powered notes, summaries, and action item extraction.
A managed vector database for production retrieval — powering RAG and semantic search at enterprise scale without running your own vector infrastructure.
An open-source SDK from Microsoft for integrating LLMs into applications, with a focus on enterprise-grade orchestration in C#, Python, and Java.
A durable execution platform that makes long-running, failure-prone workflows — including AI agents — reliable by default.