H">๐Ÿคฒ"> Handl โ€” Your tasks, handled.
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โ† Back to overview What we're building

Not a chatbot.
An action agent.

Handl is built to do things, not just say things. Web search is live today. Browser control โ€” the ability to navigate, book, and act on your behalf โ€” is Phase 2. The architecture supports both from day one.

Handl is not a chatbot. It's an action agent โ€” a system that doesn't just answer questions but actually does things on your behalf. That means browsing the web, navigating apps, drafting outputs ready to send, and operating with full memory of who you are. The technical stack reflects that ambition from day one.

Layer 1 โ€” Experience
Onboarding & identity
Onboarding that configures a named agent in 10 minutes, seeded from your own rรฉsumรฉ and work samples rather than a questionnaire. Naming your agent is the first thing you do, and it shapes everything after.
React / Next.js Framer Motion Tailwind
Layer 2 โ€” Intelligence
Memory, routing & web search
System prompts assembled from your career history, what the agent has learned about your search, and what you still owe whom. Memory is seeded from documents you upload and grows from everything that happens after. It knows you better every session.
Claude API Web Search tool MCP Vector memory
Layer 3 โ€” Action Phase 2
Browser agent & task execution
Claude's computer use API lets Handl control a real browser โ€” navigate Airbnb, book restaurants, fill forms, compare listings, and return results. This is where Handl stops being a smart assistant and becomes something genuinely new: an agent that acts, not just advises.
Anthropic Computer Use Playwright Headless Chrome Task queue
Layer 4 โ€” Infrastructure
Persistence, integrations & billing
User context storage, task history, calendar and email integrations, and the attribution layer that makes every Handl output shareable. Every document the agent produces carries "Created with [Name] via Handl".
Supabase Vercel Stripe Google OAuth Cloudflare Workers
Build roadmap
Phase 1 ยท Live now
Career memory & the transition
Rรฉsumรฉ & work-sample upload โ€” the agent learns your career
Memory extraction after every session
Tailored applications, outreach, interview prep
Pipeline tracking โ€” what you applied to, who you owe
Grounded output โ€” never an invented accomplishment
Phase 2 ยท In development
Integrations, billing & real actions
Email & calendar โ€” Google and Microsoft, one abstraction
Subscription billing
Document generation to your own storage
Computer use API โ€” the agent acts, not just drafts
Phase 3 ยท On the roadmap
Platform & scale
Multi-agent workflows
Family & shared agents
Mobile app (iOS + Android)
B2B enterprise offboarding
โ† The opportunity Join us โ†’