How to vibe codeSembly AI
AI-powered meeting assistant and agentic conversation intelligence platform
sembly.ai ↗SaaS / AI Meeting Intelligence
The verdict: can you vibe code Sembly AI?
Build a personal audio upload and summarization subset, but keep paying for Sembly if you need automated live video call bots.
Vibecoding a personal clone of Sembly's UI, vector search, and document generation engine is entirely feasible over a few weekends. However, replicating the core value—having an automated bot reliably dial into live Zoom, Teams, and Google Meet calls, bypass lobby permissions, capture multi-stream audio, and handle enterprise-grade speaker diarization—involves brittle headless browser engineering and complex WebRTC handling that will consume weeks of frustrating debugging.
Estimated effort: 4-6 weeks of part-time development
What you can't replicate
- Enterprise security compliance seals (SOC 2 Type II, HIPAA audit)
- Native marketplace installations for Zoom and Microsoft Teams
- Proprietary bot dialing infrastructure that never gets blocked by host security settings
Founded
2019
Raised
$8M+
Team
24-27
Cheapest paid tier
$17/mo
What Sembly AI does
Joins live video calls across Zoom, Teams, and Google Meet to transcribe, diarize, and convert conversations into client-ready deliverables, risk logs, and CRM records.
Core features
- Automatic virtual meeting bot that joins Zoom, Google Meet, and Microsoft Teams
- Audio transcription with speaker diarization across multiple languages
- Multi-meeting RAG chat interface for querying historical transcripts
- Automated extraction of action items, risks, and notable events
- Client-ready deliverable generation (proposals, investment memos, project briefs)
- CRM and task tracker synchronization webhooks
The business
Pricing
- Basic$17/mo
- Pro$29/user/mo
- MAX$39/user/mo
Funding
$8M+ from MI-GSO | PCUBED
Pay vs build, cumulative
Break-even at month 3 — after that, every month is money kept.
The hard parts of vibe coding Sembly AI
- Building a headless browser or WebRTC bot framework that reliably auto-joins secure enterprise video calls without crashing or getting blocked
- Implementing precise multi-speaker diarization and cross-talk handling over long audio recordings
- Orchestrating vector search and prompt-chaining pipelines to synthesize multi-document meeting history into structured executive deliverables
- Handling real-time token streaming and asynchronous background processing for large media uploads up to 5 hours long
How to vibecode Sembly AI
Prerequisites
Node.jsfree
Runtime environment for the full-stack web application.
GitHubfree
Version control and CI/CD pipeline triggers.
AssemblyAI AccountPay-as-you-go (~$0.12/hr)
Provides automatic speech recognition and speaker diarization APIs.
AI coding tools
Recommended stack
| Frontend | Next.js |
|---|---|
| Backend | Next.js Server Actions / Node.js |
| Database | Neon |
| Auth | better-auth |
| Payments | none |
| Other | AssemblyAI, OpenAI API, Vercel AI SDK, Resend |
Build guide
01Project Scaffolding & Database Schema
Initialize the Next.js application with TypeScript, Tailwind CSS, and configure the Neon Postgres database with pgvector extensions.
Scaffold a new Next.js project using Tailwind CSS and TypeScript. Set up better-auth for secure user authentication with email and password. Configure Drizzle ORM to connect to a Neon Postgres database. Define database schemas for users, meetings (id, title, transcript_text, audio_url, duration, created_at), transcripts (id, meeting_id, speaker_name, start_time, end_time, text), and deliverables (id, meeting_id, type, content). Ensure pgvector extension is enabled for semantic search embeddings. Include error handling and strict TypeScript types throughout.02Audio Upload & Transcription Pipeline
Build an audio file upload interface and integrate the AssemblyAI API for speech-to-text transcription and speaker diarization.
Build a React page and API route in Next.js that accepts audio file uploads (MP3, WAV, M4A up to 500MB). Save the file temporarily or stream it to AssemblyAI using their Node.js SDK with speaker diarization enabled. Once the webhook or polling completes, parse the JSON response containing utterance segments with speaker labels, timestamps, and confidence scores. Store these structured utterances into the Neon database linked to the user's meeting record. Handle file size validation and display upload progress in the UI.03AI Meeting Summarization & Deliverable Generator
Implement automated AI processing using the Vercel AI SDK to generate executive summaries, action items, risks, and client-ready documents from transcripts.
Create a server action that triggers after a meeting transcript is successfully saved. Using the Vercel AI SDK and Anthropic Claude via API, process the full transcript text to extract: 1) Executive summary, 2) Key action items with assignees and deadlines, 3) Risks and issues discussed, 4) A client-ready deliverable (e.g., proposal draft or project brief). Store these generated artifacts in the deliverables table. Build a dynamic dashboard view in Next.js to render meeting notes, timestamps, and export options.04Multi-Meeting RAG Chat Interface
Develop an interactive chat assistant capable of querying across multiple historical meeting transcripts using vector embeddings.
Build a multi-meeting AI chat interface in Next.js using the useChat hook from the Vercel AI SDK. When a user asks a question, generate an embedding of the query using OpenAI's embedding model, perform a cosine similarity search against stored transcript chunks in Neon Postgres via pgvector, and inject the most relevant meeting context into the LLM system prompt. Return streamed responses with citations pointing to specific meetings and timestamps.05Analytics Dashboard & Polish
Construct workspace analytics, search filters, and UI polish to simulate a production-grade meeting intelligence platform.
Build a workspace analytics dashboard aggregating user meeting stats: total meetings recorded, total hours spent in calls, breakdown of action items by status, and recent sentiment trends. Implement advanced search filters allowing users to filter transcripts by keyword, speaker, or date range. Polish the UI with clean Tailwind styling, loading skeletons, and responsive layouts suitable for professional workflows.
Cost vs paying for Sembly AI
What will you build it with?
Starting total with Claude Code$0 one-time
Starting costs (one-time)
- Domain name$12/yr
- AssemblyAI initial credits$10
Total~$22 one-time
Ongoing costs (monthly)
- Vercel Hobby/Pro Hosting$0-20/mo
- AssemblyAI & OpenAI API usage~$5-15/mo
Total~$5-35/mo
Paying for Sembly AI
$29/user/mo (Pro Plan)
Your time to build
35-50 hours
AI tool credits
$20 (Claude Pro / Cursor)
Break-even
1 month of Pro plan subscription
Vibe code Sembly AI: FAQ
- Can you vibe code Sembly AI yourself?
- Serious undertaking — 45/100 vibecodeable. Build a personal audio upload and summarization subset, but keep paying for Sembly if you need automated live video call bots.
- How long does it take to vibe code Sembly AI?
- 4-6 weeks of part-time development — roughly 35-50 hours of hands-on time with an AI coding agent.
- How do you build your own Sembly AI?
- Scoped to personal use: Next.js on the front, Next.js Server Actions / Node.js behind it, Neon for data. Follow the 5-step build guide on this page — each step has a paste-ready prompt for an AI coding agent.
- How do you code your own Sembly AI without being an expert?
- Use an AI coding tool (Claude Code or Cursor) and work in small steps: scaffold, data model, core screens, then deploy. Realistic effort: 4-6 weeks of part-time development. The prompts on this page are written so the AI does the heavy lifting.
- How much does it cost to vibe code Sembly AI instead of paying?
- About ~$22 one-time to start and ~$5-35/mo to run, versus $29/user/mo (Pro Plan) for Sembly AI. Break-even: 1 month of Pro plan subscription.
- What stack should you use to vibe code Sembly AI?
- Next.js; Next.js Server Actions / Node.js; Neon; plus AssemblyAI, OpenAI API, Vercel AI SDK, Resend.