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AI interview copilot delivering real-time answer suggestions and live transcription across video, phone and coding interviews.
Open-source testing platform where AI agents drive your app end-to-end to catch regressions on every PR, no test code needed.
Real-time contact-center AI for agent assist, auto QA, coaching and compliance across large phone teams.
Prompt engineering, management, and LLM observability platform.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
No public pricing
No public pricing
No public pricing
- ✦Real-time answer suggestions
- ✦Live interview transcription
- ✦STAR and bullet response formats
- ✦Chrome extension for online assessments
- ✦AI interview prep and mock interviews
- ✦Multiple AI models (GPT, Claude, Gemini)
- ✦AI agents navigate your app in real browsers
- ✦One-command setup that maps flows and drafts tests
- ✦SDK to seed and tear down real data
- ✦Runs on every PR against preview deploys
- ✦No test code required
- ✦Open-source with a self-hosted option
- ✦Integrates with GitHub, Vercel and Linear
- ✦Real-time agent assist and guidance
- ✦Automated QA scoring of all calls
- ✦AI coaching recommendations
- ✦Real-time compliance monitoring
- ✦Conversation insights and analytics
- ✦Togo voice AI agents
- ✦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
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- →Getting live help during interviews
- →Answering online coding assessments
- →Practising with AI-generated questions
- →Handling phone and video interviews
- →Catching regressions before merging PRs
- →End-to-end testing without writing scripts
- →QA for fast-shipping product teams
- →Self-hosted testing on your own infrastructure
- →Guiding agents during live calls
- →Automating call quality assurance
- →Coaching and onboarding agents
- →Maintaining call compliance
- →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
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants