AI assistants and search decision

dialagram

A single developer can build a useful OpenAI‑compatible router that proxies several model providers and run it for internal use, but reproducing Dialagram's production polish, commercial agreements, and scale-ready hosting/billing is nontrivial.

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You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$50one-off28 h to build

$50/mo6 h/mo upkeep

No published price to break even against.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All dialagram alternatives, with the arithmetic →

What a replacement has to do

  • Accept OpenAI-compatible requests; route requests to multiple 3rd-party model providers; manage API keys and simple dashboard for subscribers; enforce subscription gating and basic usage accounting; log, proxy, and normalize model responses back to the client.

What it still won’t have

  • Commercial agreements or volume discounts with model vendors
  • Hosted scalability and SLA guarantees
  • A polished customer-facing billing/subscription system and support
  • Any proprietary routing optimizations or negotiated model allotments Dialagram may hold

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

dialagram does not publish a price we could read, so there is nothing to compare against. What building costs is below.

Money you would actually spend

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

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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 OpenAI-compatible model router in Node.js (Express) + TypeScript, hosted on a single VPS (or Vercel/Cloud Run). Core features in scope: implement /router/v1 OpenAI-compatible endpoint, adapter modules for three external model providers (configurable via env vars), API key issuance and middleware, subscription gating (simple paid-flag toggle in a JSON file or SQLite), request/response normalization, request logging and trace IDs, and automated tests for request routing and adapter behavior. Out of scope: full billing provider integration, multi-tenant isolation beyond API keys, and advanced rate-limiting. Include error handling for provider failures, retries with backoff, and unit + integration tests; provide Dockerfile and deploy instructions.
How we checked3 sources · 2/3 runs agreed · evidence score 60

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 3 cited sources+3
  • Evidence score60

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.

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