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No-code platform for building and running AI agents that automate work across data, sales and support tasks.
AI meeting assistant for agencies that turns calls directly into finished client deliverables like slides, briefs, and proposals.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
AI chatbot builder that trains a support agent on your website content in minutes to deflect tickets and capture leads with cited answers.
No public pricing
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No public pricing
No public pricing
- ✦Visual canvas to orchestrate multi-agent workflows
- ✦Prebuilt specialized agents (data, support, CRM, sales)
- ✦Access to many AI models with no vendor lock-in
- ✦Slack, Teams and email agent interaction
- ✦Recurring/scheduled tasks and triggers
- ✦Enterprise security: RBAC, VPC, audit logs, spend controls
- ✦Bot-free AI meeting notetaking
- ✦Auto-generated slides, documents, and spreadsheets from meetings
- ✦Pre-built templates for briefs, proposals, and pitch decks
- ✦AI image generation tied to meeting context
- ✦Desktop notetaker for Mac and Windows
- ✦Integrations and MCP support
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦Fast setup trained directly on website content
- ✦Answers cited back to source content
- ✦Inbound lead capture with automated follow-up
- ✦Integrations with existing support/marketing stack
- ✦Self-improving responses over time
- →Automate data analysis and reporting
- →Triage support tickets and spot patterns
- →Keep a CRM updated and research prospects
- →Deploy AI agents across a team's tools
- →Agencies converting client calls directly into briefs or proposals
- →Teams turning brainstorm meetings into pitch decks
- →Client services teams producing one-pagers from discovery calls
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →SaaS companies deflecting repetitive support questions
- →Marketing teams capturing and qualifying leads via chat
- →Support teams wanting AI answers backed by verifiable sources