AI assistants and search decision

Zeeg

A lean, single-use workflow (answer calls, qualify, and book) is realistic for a small team to build using Twilio+STT+LLM and calendar APIs, but reproducing Zeeg’s full product (enterprise integrations, scale, polished telephony, and pre-built GDPR packaging) is a larger effort better served by continuing to pay.

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Subscription$12/month ✓ verified
Initial build80 hours
Monthly upkeep8 hours + $400
Evidence3/3 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

  • Answer incoming call → transcribe speech → run a qualification dialog (LLM/logic) → create/route booking in calendar → send confirmation and reminders

What it still won’t have

  • Enterprise polish and UX
  • Large-scale telephony reliability and call throughput
  • Built-in European GDPR hosting & DPA out of the box (unless you self-host and certify)
  • Native, maintained integrations (HubSpot, Salesforce, Zoom, etc.)
  • SSO/SCIM and enterprise management features

What remains hard

  • Compliance and regulationZeeg is the data privacy compliant scheduling solution .
  • Compliance and regulationYes, Zeeg is fully GDPR-compliant with all data hosted in Europe — making it the only AI booking platform your InfoSec team will actually approve.
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First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 35 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-hostable AI phone appointment scheduler using Node.js (Express), PostgreSQL, React for a simple dashboard, Twilio for telephony/SIP, a cloud STT (or Whisper) for transcription, OpenAI or similar for dialog management, and Google/Outlook Calendar API for booking. In scope: inbound call handling, speech-to-text, LLM-driven qualification dialog, calendar sync (one calendar per user), basic routing (simple round-robin and per-user availability), confirmation emails/SMS, persistent transcripts and booking records, and an admin UI to view calls/bookings. Out of scope: enterprise SSO/SCIM, multi-region high-availability, bulk outbound campaign management, payments, and white-labeling. Include robust error handling, retries for ephemeral API failures, logging, and automated unit/integration tests for the telephony, dialog, and calendar flows.
How we checked3 sources · 3/3 runs agreed · evidence score 59

How the score was reached

  • Partly verdict base52
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score59

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 · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page