Writing and content decision

Lex

A competent developer can implement a useful subset (editor + LLM commands + sharing) but reproducing Lex's polished real-time collaboration, enterprise model integrations, privacy contracts, and product polish is multi-week work and retains nontrivial operational and trust costs that make keeping the paid product reasonable for many teams.

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Subscription$12/month
Initial build80 hours
Monthly upkeep8 hours + $50
Evidence2/3 runs agree

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.

What a replacement has to do

  • Create and edit rich-text documents collaboratively while invoking AI-assisted editing (rewrite/feedback/title generation) on selections or the whole document.

What it still won’t have

  • Access to enterprise-model contracts and privacy protections Lex claims via their vendor relationships
  • Priority email support / vendor-run support channel
  • Polished cross-device UX (early-access iOS app / mobile polish)
  • Any proprietary hosting, backups, and data retention policies Lex provides

What remains hard

  • Brand trustLoved by over 300,000 writers
  • Compliance and regulationAll of your data on Lex is privately and securely hosted on our own database.
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 5 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 self-hosted web app using Next.js (React) + Yjs for CRDT collaboration, a Node/Express (or serverless) API with Postgres for persistent storage, and integrate OpenAI/Anthropic/Together APIs for LLM-powered edit commands. In scope: rich-text editor (TipTap or Slate) with selection-based AI commands (rewrite, feedback, title generation), real-time presence and sync via Yjs + WebSocket server, backend endpoints to save/load documents and generate shareable read-only/edit links, simple comments/versions UI, basic auth (magic links), and server-side usage tracking/billing telemetry. Out of scope: building mobile-native apps, enterprise contract negotiation, advanced moderation/compliance workflows. Include error handling for failed LLM calls, retries, and rate-limit responses, and provide unit tests for editor commands, API mocks for LLM calls, and an integration test for live collaboration syncing.
How we checked4 sources · 2/3 runs agreed · evidence score 57

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • Hard moats found in the evidence-3
  • Evidence score57

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 · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

! Price not confirmed on the page — this pricing page renders its price in the browser! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 2 moats quoted from the page