→ Are your developers writing documentation instead of shipping product?
→ Do partners raise tickets for things your docs should have answered?
→ Does your documentation portal look like it was built in 2019 and abandoned in 2020?
These are the documentation problems that slow engineering teams, hurt developer adoption, and inflate support costs — every single day.
Docs scattered across Confluence, Notion, GitHub, and Google Docs with no coherent structure.
Your most expensive resource spending hours on documentation that isn't their job.
Just a README, a Swagger URL, and a hope that developers can figure it out themselves.
References describe what was built in Q1. The product is now in Q3. Nobody updated anything.
Partners and developers raising tickets for things that should be self-serve from your docs.
Your RAG-powered bot giving wrong answers because your docs aren't structured for LLM ingestion.
Docs written the night before a launch — or not at all — leaving users confused after every update.
Critical documentation that lives in one engineer's head and disappears the day they leave.
Every new developer or partner gets a different experience depending on who answers their first question.
We don't just write docs. We build the infrastructure, pipelines, and processes that keep your documentation accurate automatically — for as long as your product exists.
We build, configure, and deploy production-grade documentation portals using Docusaurus — the standard used by Stripe, Shopify, and Vercel. Your docs live in your codebase, versioned with your product.
We wire documentation directly into your engineering workflow. When your team merges a PR or cuts a release, documentation rebuilds, validates, and redeploys — zero manual steps.
Written by technical writers who understand code, not content generalists. Every reference, guide, and tutorial is validated against real product behaviour — not assumptions.
We restructure your documentation so it works as a clean knowledge source for LLM-powered support bots and internal AI tools — reducing hallucinations and improving AI accuracy.
A structured, repeatable process that fits inside your existing engineering workflow — not alongside it.
We review your repos, APIs, and existing docs. You get a gap report: what's missing, outdated, and costing you support tickets.
We define portal structure, tooling stack, CI/CD integration points, and content hierarchy — before a word is written.
We build your Docusaurus portal, configure your CI/CD pipelines, and wire it into your GitHub or GitLab workflow.
Technical writers produce every guide and reference — validated against your actual product behaviour, not specs alone.
You review, we refine, docs ship. Then we stay embedded in your release cycle — keeping everything in sync automatically.
We cover the full documentation surface of a modern engineering team — public, internal, and partner-facing.
All plans include dedicated technical writers, Git-based delivery, and direct Slack access to your team. No long-term contracts.
| Module | What's included | Price |
|---|---|---|
| Docusaurus Portal Build | Full setup, custom theme, Algolia search, deployment | $2,000 one-time |
| CI/CD Documentation Pipeline | GitHub/GitLab Actions, auto-deploy, broken link checks | $1,500 one-time |
| AI / RAG Documentation Restructuring | Chunking, metadata tagging, LLM ingestion testing | $1,800 one-time |
| Documentation Audit & Gap Report | Full review of existing docs with prioritised recommendations | $500 one-time |
| OpenAPI / Swagger Spec Authoring | Spec written, validated, and aligned with real API behaviour | $800 / API |
| Changelog & Release Note Automation | Automated from commit history, formatted and published | $1,000 one-time |
If outdated or missing documentation is slowing adoption, inflating support load, or costing your engineers time — Fluidzy can fix it. Start with a free audit.
