Documentation
AI Documentation Agent
Technical docs get drafted from your code and existing pages, then updated automatically as the codebase moves on.
Internal docs fall behind the code almost as soon as they are written, and new engineers pay the price. AI Documentation Agent drafts and maintains architecture notes, setup guides and other technical pages from your code, comments and existing docs. It flags pages that went stale after a related change, and a named approver on your team reviews every draft before it is published.
- Technical docs drafted from your code and existing pages
- Stale pages flagged after a related code change
- Every draft reviewed by your named approver before publishing
$2,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Documentation Agent is an agent that drafts and maintains internal technical documentation, such as architecture notes and setup guides, from your code, comments and existing docs. It flags pages that have gone stale after a related change, instead of letting them quietly rot. A named approver reviews drafts before publishing.
Why businesses buy it
Outdated documentation is costly in quiet ways: slower onboarding, repeated questions to senior engineers, and mistakes made from setup guides that no longer match reality. Nobody has time to keep it current by hand. AI Documentation Agent drafts and refreshes pages in your own style and flags what has drifted, so your docs stay useful and knowledge does not live only in people's heads. The Scope Card fixes the destination, output formats, reference examples and sample drafts before you order, so you know exactly what you will receive.
Problems this solves
Architecture notes and setup guides go stale soon after they are written
The agent flags pages that have gone stale after a related code change. Your team knows which documents need attention, instead of finding out from a confused new hire.
Engineers put off writing documentation because it takes too long
It drafts internal technical documentation, such as architecture notes and setup guides, from your code, comments and existing docs. Engineers edit a draft rather than starting from a blank page.
Documentation quality depends on who happened to write it
Drafts follow your brand profile and up to 20 reference examples, in up to three output formats. A named approver reviews every draft before it publishes.
A good fit if
Your internal docs lag behind the codebase, and new engineers keep asking questions the wiki should already answer.
You have existing documentation and code comments to work from, and want a first draft written from them rather than starting blank.
You want documentation changes proposed as a pull request or a page draft for someone to review, not published without a check.
You already keep documentation in a place with an API, such as a Git repository, a drive folder or a CMS.
Not the right fit if
You specifically need reference documentation generated from an API definition, like an OpenAPI schema. See AI API Documentation, built for that.
You only need release notes drafted from merged work, not full technical documentation. See AI Changelog Generator, which is narrower and cheaper.
You need more than three output formats, for example docs published to five separate destinations. Add a note at checkout for a quote, or use our Custom AI enquiry form.
You need documentation in more than one language at once. This build covers one language; a second is priced separately.
How it works
- It reads your source material. Code, code comments, and the reference examples you approved are the only inputs it drafts from.
- A first draft is written in your voice. Structure, terminology and tone follow the style guide and example docs you provided during intake.
- Stale pages are flagged. When a related code change lands without a matching doc update, the affected page is surfaced for review.
- Drafts go out for review, not publication. Each draft lands as a pull request or a page draft in your destination, not a live page.
- You approve, edit or reject. Nothing publishes until someone on your side signs off on the draft.
- Approved changes are delivered. Once approved, the draft is pushed to your CMS, drive or repository in the agreed format.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Your business information (company basics, hours and brand voice), shared during intake, or confirmation we can reuse what you gave us on an earlier order.
- Your documentation style guide and tone-of-voice examples, so drafts read like your team wrote them.
- 10 to 20 reference documents you consider good examples of the finished product.
- Access to the destination where documentation should be published, such as a CMS, drive or repository.
- The list of pages or topics to start with, and the name of the person who approves drafts.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- One person on your side who can approve decisions during setup and sign off at launch.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, source material and destination access confirmed.
Weeks 1–2
Drafting pipeline and stale-page detection built.
Week 3
Destination system connected.
Weeks 3–4
25 sample drafts produced for your review.
Week 4
Your review and two rounds of changes.
Go-live
Live, recorded handoff session, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $2,900 |
| Express | 15–25 working days | $3,400 |
| Rush | 10–20 working days | $3,900 |
What you receive at handover
- The documentation agent configured to deliver drafts to one destination, such as your CMS or drive
- Style profile and up to 20 reference examples set up to guide drafts
- One generation pipeline with up to three output formats
- 25 sample outputs reviewed and approved by you
- Admin guide and recorded 45-minute handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can keep internal docs closer to what the code actually does.
- Helps new engineers get set up without constant interruptions.
- Stale pages
- Count pages flagged as stale each month and how many were updated before the next check.
- New starter setup time
- Record how long a new engineer takes to get a working setup, before launch and for the next hire after.
- Drafts approved
- Track how many drafts the approver accepts with light edits versus rewrites.
Before you start: List your key internal docs and when each was last updated. Note how long the last new hire took to get set up.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running it costs roughly $20 to $150 a month in AI model usage in your own accounts, depending on how much documentation it drafts each month.
AI usage during the build and testing is also billed to your accounts, so you keep ownership of every provider relationship. Nothing runs through us.
Ask about running costsCustom requirements
If you need something outside the Scope Card, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Your original order runs on its normal timeline either way. Larger or bespoke projects go through the Custom AI request form.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, updates, a health report and change hours each month, enough to retrain the style on new examples or add a page type. It starts after the 30 days of support, bills monthly, and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A generic writing SaaS charges monthly whether or not documentation gets written | A custom agency quotes after discovery calls | Ours is one fixed price, shown before you buy |
| Scope | A generic writing SaaS is a blank editor you have to prompt yourself | An agency agrees scope during the project | Ours is written on the Scope Card before purchase |
| Delivery | A generic writing SaaS is usable immediately but untrained on your codebase | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Staleness tracking | A generic writing SaaS has no idea a related code change just landed | An agency build depends on what was agreed | Ours flags pages that fall behind a related change |
Questions about this product
What does the AI Documentation Agent build include?
Everything on the Scope Card: one generation pipeline drafting from your code and docs, up to three output formats, stale-page flagging, delivery to one destination, sample drafts for your approval, two rounds of changes and the recorded handoff session. The price is fixed and shown on this page before you order, and it does not change once your Scope Card is confirmed. AI usage is billed to your own accounts.
How much does it cost to run AI Documentation Agent each month?
Roughly $20 to $150 a month in AI model usage in your own accounts, not ours. The figure depends on how much documentation it drafts each month. Monthly maintenance is separate and optional if you want ongoing changes. Its change hours are enough to retrain the style on new examples or add a page type.
When does AI Documentation Agent go live?
Delivery runs on a fixed schedule, and the delivery panel shows the standard date plus express and rush options before you order. The clock starts once your reference examples and destination access are confirmed and your intake is complete, not the day you place the order, so sending them early keeps the date.
What source material does AI Documentation Agent need?
Your code, code comments, existing documentation, and 10 to 20 reference examples of the style you want. It drafts only from what you approve; it never invents technical detail. Every credential it needs is shared by adding our team as a user or creating a key you control during intake, not by email.
Does AI Documentation Agent publish pages automatically?
No. Every draft lands as a pull request or a page draft for someone on your side to review, edit or reject. Nothing goes live until a person approves it. That approval step is fixed and does not depend on whether you choose monthly maintenance.
Can I add a new documentation type to AI Documentation Agent later?
Yes. Small changes, like a new section template, fit inside the monthly change hours that come with maintenance. Adding a fourth output format or a second destination is a bigger change and gets a Change Quote first. Maintenance also covers monitoring, fixes and a monthly health report. It starts after post-launch support and can be cancelled any month.
Can I cancel AI Documentation Agent maintenance?
Yes, in any month. Plans bill monthly with no lock-in, and the build keeps drafting either way; cancelling only stops the included monitoring, fixes and hours. The 30 days of post-launch support that come with every order continue regardless of a plan.
Who owns the documentation AI Documentation Agent produces?
You do. Every draft, once approved and published, is your content in your destination system, not licensed from us. The style rules and pipeline built for you also belong to your business, and keep running even if you later stop maintenance.
Stop letting the docs fall behind the code.
Order AI Documentation Agent and on a fixed delivery date it starts drafting technical docs from your code and flagging the stale ones.
Works well with
