How I'd build Remote Team AI
I'd reach for Next.js on the frontend with tRPC for type-safe APIs, Postgres for the database layer, Stripe for billing, and Resend for email. The backend would be Node.js with Prisma as the ORM. I'd estimate 180-220 hours for a launch-ready MVP: three weeks at full velocity, assuming no scope creep and tight iteration cycles. The biggest variable is how deep we go into Slack, Notion, and Linear integrations versus shipping an MVP that handles the core async recording and playback loop first.
Day-by-day plan
- Days 1-2: Postgres schema (users, teams, workspaces, recordings, clips), multi-tenant isolation layer, environment setup with Docker Compose for local dev.
- Day 3: Next.js frontend scaffold with shadcn/ui components, navigation structure, protected routes via next-auth with OAuth (Google, GitHub).
- Day 4: Stripe integration. Three tiers: free (5 recordings/month), team ($150/month, 100 recordings), enterprise ($300/month, unlimited). Webhook handling for subscription lifecycle events.
- Day 5: Slack OAuth connection. Ability to search and list Slack conversations, permissions scoping, token refresh logic.
- Day 6-7: Video recording widget. Browser-based capture using MediaRecorder API, S3 upload via presigned URLs, transcription via Deepgram or Whisper API. Generate timestamps and searchable transcripts.
- Day 8: Async video player with clip trimming, in-video comments, thread replies. Basic search across recordings and transcripts.
- Day 9: Linear sync. Pull issue context, attach recordings to Linear issues, bi-directional updates.
- Day 10: Stripe webhook retry logic, failed payment recovery emails via Resend, onboarding email sequence.
- Day 11: Basic analytics. Recording count, team size, playback engagement, churn signals.
- Day 12-13: Customer onboarding flow, documentation, deploy to staging, final bug pass.
What's hard about this build
The multi-tenant isolation is straightforward in theory but requires vigilance at the query layer. Row-level security in Postgres helps, but you're trusting that every query filters by team_id. One bug and a customer sees another customer's recordings. The Slack integration is deceptively complex because of token expiry, permission scoping, and rate limits. If a user revokes the Slack app, we need graceful degradation. Deepgram or Whisper transcription costs scale linearly with video hours, and there's real risk that a single heavy user burns the margin on a $150/month plan if we're not metering usage. Linear's API is stable, but schema changes on their end can break our sync. We'll need a test harness with fake Linear responses to avoid integration brittleness. The biggest risk is churn: without org-wide adoption, individual users don't see value and leave.
What's fast because of AI
I use Claude to scaffold API routes, generate Prisma schemas from requirements, and write initial test cases. That alone compresses a week of boilerplate into a day. For the frontend, Claude generates shadcn/ui component layouts and handles accessibility details that would otherwise require manual review. On the Slack and Linear sync layers, Claude enumerates edge cases I might miss: expired tokens, rate-limit backoff, partial failures. Copywriting for the product UI - onboarding tooltips, empty states, pricing page - Claude cuts my drafting time in half. Debugging is faster too: pasting error logs and relevant code into Claude narrows the search space quickly. These compressors turn a launch date from six weeks to four.
How I'd hand it off
I'd record a Loom walkthrough of the deploy process, database migrations, and admin panel. You get a runbook in Markdown: provisioning a new environment, running migrations, rotating Stripe keys, monitoring Deepgram quota. First month I'm on pager rotation for P1s: database locks, Stripe webhook failures, Slack token revocations. All credentials go into a shared 1Password vault with access policies. Week four, I'd hand off the Linear issue backlog, open tech debt items, and a one-hour call with your next engineer to cover the architecture.