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Prompt engineering, management, and LLM observability platform.
Free AI summarizer that condenses YouTube videos, web articles, arXiv papers, and Reddit threads into key-point summaries.
Popular tool to chat with PDFs and other documents, giving summaries and cited answers, with a free daily tier and no-signup start.
Enterprise platform for building and deploying customized AI agent teams across sales, support, marketing, and HR workflows.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
No public pricing
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Prompt management
- ✦Prompt evaluations
- ✦LLM observability
- ✦Team collaboration
- ✦Version control for prompts
- ✦A/B testing of prompts
- ✦Prompt Registry
- ✦Historical backtests
- ✦Regression tests
- ✦Usage monitoring
- ✦YouTube video summarization with key-point extraction
- ✦Web article and arXiv paper summarization
- ✦Reddit thread summarization
- ✦Flashcard generation from summarized content
- ✦Shareable summary formats
- ✦Chat with PDFs, Word, PowerPoint and text files
- ✦Summaries with cited sources
- ✦Multi-file chats via folders
- ✦Any-language upload and chat
- ✦Extra tools: AI writer, detector, flashcards, slides
- ✦No-signup quick start
- ✦Custom AI agent builder for specific tasks
- ✦Support for multiple LLMs (GPT, Gemini, Claude, etc.)
- ✦Agent evaluation and performance tracking
- ✦2,000+ integrations
- ✦Embedded deployment and training program
- ✦SSO, role-based access, and audit logs for enterprise governance
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- →Scaling customer support automation with LLMs
- →Empowering non-technical teams with prompt engineering
- →Building personalized AI interactions
- →Debugging LLM agents
- →Improving content creation processes
- →Managing and monitoring prompts with a team
- →Students condensing long lecture videos into study notes
- →Researchers quickly reviewing arXiv papers
- →Professionals skimming long YouTube tutorials for key points
- →Content teams summarizing Reddit discussions for trend research
- →Understand research papers
- →Study and homework help
- →Review contracts and reports
- →Translate and summarize documents
- →Automating sales prospecting, CRM enrichment, and meeting prep
- →Automating post-call follow-ups and pipeline forecasting
- →Building customer support and HR task agents
- →Scaling an internal AI workforce across departments
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app