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ASMI
An AI chatbot with a face — your coding agent ships it
A visual editor for AI chatbots with a face. Design the look, voice, and conversation logic; your AI coding tool (Claude Code, Cursor, Lovable, v0) ships it into your site via MCP — on your LLM keys and your hosting, with no vendor runtime.
Hi Product Hunt 👋
I'm Stian, a solo developer in Norway. I built ASMI because every "AI avatar" or chatbot widget I evaluated either locked you into a vendor runtime — your widget dies when their backend does, your data flows through their servers, your costs scale per-visitor on their pricing — or made you hand-roll the whole face / state-machine / expression layer from scratch.
What it is, plainly: ASMI builds chatbots with a face. A visitor types a question, your avatar answers from a knowledge base you control, and its expression shifts as the conversation does. You design that avatar in a visual editor; your coding agent wires it into your own site. Build avatars once, run them anywhere.
ASMI splits the problem cleanly:
🔹 Design-time — a visual editor at broen.tech/apps/asmi. You shape the chatbot: face and expressions (multi-wardrobe sets with event scheduling), brand voice (seven sliders), the conversation state machine (XState-compatible, structured guards), a company knowledge base, and an awareness module (nine holiday calendars including Norwegian, business hours, time-of-day greetings). No code.
🔹 Implementation — in your own repo. You paste a one-paragraph briefing into your AI coding tool (Claude Code, Cursor, Lovable, v0, Replit, Cline, base44). It calls ASMI's MCP server, fetches the avatar plus a ~1000-line embedding guide tuned to your framework, and writes the integration. After that, your site owns it.
What's new in v1.1 (June 2026):
- Six demo chatbots across six industries — pediatric dental (live on a Lovable site today), urban mobility, museum education, dev-tools support, hotel concierge, sustainable fashion. Each built end-to-end by a coding agent following the MCP flow.
- Consistency by construction: every face and animation frame is QA-checked against the locked identity and auto-regenerated when it drifts.
- A knowledge-base crawler that turns your crawled company pages into draft answers you accept one by one.
What this buys you:
- No runtime lock-in. ASMI going offline doesn't break your live site — the chatbot is a snapshot in your repo, not a live dependency.
- Your LLM keys, your costs. ASMI doesn't proxy chat traffic.
- Your data stays on your stack.
- Two public MIT npm packages. The runtime has zero dependencies.
- A verify_deployment MCP tool — your coding agent re-runs the canonical happy-path I recorded in the editor against its own implementation and gets a pass/fail checklist to iterate on. Test-driven integration instead of vibe-checking.
Honest about what it doesn't do:
- No "drop in one script tag" path for serious integrations. The architecture needs a coding agent (or a developer following the embedding guide).
- I don't host the LLM. You bring OpenAI / Anthropic / Gemini.
Genuinely free tier: build, simulate, connect knowledge — no card. Deploying to a live site and sharing to the gallery are the moments worth charging for, so they sit on the paid tiers.
See it:
- 2-minute walkthrough: broen.tech/apps/asmi/developers
- Live chatbots in the wild: broen.tech/apps/asmi/showroom
I'm specifically after: bugs, pricing thoughts, missing framework integrations, and MCP-client compatibility reports. I'll be in the comments all day. 🙏
About ASMI on Product Hunt
“An AI chatbot with a face — your coding agent ships it”
ASMI was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #131 on the daily leaderboard. A visual editor for AI chatbots with a face. Design the look, voice, and conversation logic; your AI coding tool (Claude Code, Cursor, Lovable, v0) ships it into your site via MCP — on your LLM keys and your hosting, with no vendor runtime.
On the analytics side, ASMI competes within Developer Tools, Artificial Intelligence and Bots — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how ASMI performed against the three products that launched closest to it on the same day.
Who hunted ASMI?
ASMI was hunted by Stian Broen. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ASMI including community comment highlights and product details, visit the product overview.
Stian Broen