Scheduling and meetings decision

timeOS

A capable developer can build a narrow meeting-capture → agent automation flow using hosted STT and LLM APIs within a week, but matching Timeless's enterprise-grade features (SOC2, SLAs, polished cross-platform apps, and broad integrations) is nontrivial — keep paying for full product unless you only need a minimal workflow.

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Subscription$29/month ✓ verified
Initial build30 hours
Monthly upkeep8 hours + $50
Evidence2/3 runs agree

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Record meeting audio, transcribe to text, detect 'moment' triggers in transcript, run simple agent actions (send email/create task/upload artifact), surface results in a web UI and send notifications.

What it still won’t have

  • SOC 2 compliance and enterprise security guarantees
  • Polished multi-platform desktop apps and UX polish
  • Guaranteed SLAs, priority support, and dedicated onboarding
  • Built-in unlimited integrations and enterprise-grade exports

What remains hard

  • Compliance and regulation
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 2 seats.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal self-hosted meeting->agents service using Node.js (Express) backend, React frontend, Postgres for storage, and S3 for artifacts. Core features in scope: 1) record or upload meeting audio (WebRTC + simple upload), 2) send audio to a hosted STT API and store transcripts, 3) detect trigger moments via rule-based NLP (keyword+regex + lightweight intent classifier using an LLM API), 4) run agent actions: send templated emails (SendGrid), create tasks in Notion, and fire webhooks, 5) a web UI to review transcripts and approve/undo agent actions, 6) basic user auth and single-tenant workspace. Out of scope: SOC 2 certification, dedicated enterprise SSO, desktop native apps, and advanced scaling. Include error handling for failed transcriptions and action retries, unit and integration tests for transcription/trigger/action flows, and a README with deployment steps (Docker Compose) and a small Postman collection for the API.
How we checked2 sources · 2/3 runs agreed · evidence score 53

How the score was reached

  • Partly verdict base52
  • 2 cited sources+1
  • Price verified on pricing page+3
  • Hard moats found in the evidence-3
  • Evidence score53

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 2

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded