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Personal AI agent that builds custom mini-apps and tools on request and remembers your preferences to help with daily life.
No-code automation builder that runs AI-agent 'Playbooks' described in plain English across 1000+ app integrations with approvals.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
AI text detector and humanizer that scores AI-written content and rewrites it in one click to read naturally.
Prompt engineering, management, and LLM observability platform.
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
- ✦Personal AI agent for daily life
- ✦Deep Memory that remembers user preferences
- ✦Builds custom tools and mini-apps on request
- ✦Personality test for personalization
- ✦Mobile app
- ✦Content and template library
- ✦Plain-English automation via Playbooks
- ✦AI Editor that drafts workflows from intent
- ✦1000+ integrations, 23,000+ actions
- ✦Live dashboard for monitoring and approvals
- ✦No-code, no visual builder
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- ✦AI probability scoring with sentence-level highlighting
- ✦One-click humanization/rewrite of flagged text
- ✦Detection across multiple major AI models
- ✦Saved history of checks and rewrites
- ✦Free unlimited detection with limited humanization words
- ✦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
- →Getting personalized help with daily tasks
- →Generating small custom tools on demand
- →Building an AI that remembers your context
- →Creative writing and story generation
- →Automating recurring reports and reminders
- →Cross-app workflow automation
- →Updating leads or data on a schedule
- →Team task automation in plain language
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions
- →Students checking AI-assisted drafts before submission
- →Writers and bloggers removing robotic AI phrasing before publishing
- →Professionals sending AI-drafted emails or copy that read naturally
- →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