Software documentation maintenance
Documentation changes remain traceable to specific product releases.
- For
- Developer relations leads at API businesses
- Solves
- Documentation drifts after frequent releases.
- Delivers
- Reviewed documentation updates
- Built in
- about 4 weeks of creation time, MVP in 5 days
- Investment
- $9,000 for the MVP, $35,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For developer relations leads at API businesses, turn approved change logs, API definitions and existing docs into reviewed documentation updates.
- Detect affected pages.
- Draft new examples.
- Check API names.
- Flag broken references.
- Assign engineer review.
- Produce release-linked updates.
What goes in, what comes out
- Approved change logs
- API definitions
- Existing docs
AI drafts, people review. Source-based content workspace with editorial delivery.
- Reviewed documentation updates
How it works
The workflow
- InStart with
Approved change logs, API definitions and existing docs
- 1
Collect a structured brief and source material
- 2
Identify unanswered questions
- 3
Approve an outline
- 4
Generate a draft
- 5
Verify claims
- 6
Gather reviewer edits
- 7
Approve a final version and export the agreed formats
- OutFinish with
Reviewed documentation updates
AI does the heavy lifting, people stay in charge
Extract and organize information, propose structure, draft prose and adapt approved content to audiences. Attach evidence to factual claims. Keep names, dates, amounts and quoted wording linked to their source. Editors resolve ambiguity and approve publication.
What your team sees
Key screens: Change inbox, documentation diff, publishing approval. Use a project list and editorial calendar beside a document editor. Keep original material and supporting passages in a collapsible side panel. Show outline, draft, review and approved stages. Provide tracked edits, comments, version comparisons and an export preview that reflects the final delivery format. In this product, the first view is change inbox, followed by documentation diff and publishing approval.
Accounts and administration
Client workspaces, source permissions, editorial assignments, change history, reviewer comments, approval gates, revision allowances and export templates.
Integrations and data access
Authorized repositories, technical documentation, application APIs and logs. Document storage, word processor export, content management systems and approved publishing channels. Pilot with uploads and downloadable drafts before adding write integrations. These are candidate integration categories, not verified supported connectors.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
5 daysOne buyer segment, one recurring use case; first modules: detect affected pages; draft new examples. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
6 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
2 weeksRemaining modules: flag broken references; assign engineer review; produce release-linked updates. Self-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will developer relations leads at API businesses use it to solve "documentation drifts after frequent releases"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Complete one existing brief using the customer’s actual sources.
- Measure, then decide. Track stale pages fixed and technical corrections. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Begin with developer relations leads at API businesses and one recurring use case. Build the first two modules: detect affected pages; draft new examples. Provide operator assistance for the third module: check API names. Deliver reviewed documentation updates through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
After the MVP. After paid pilots establish value, automate the remaining modules: flag broken references; assign engineer review; produce release-linked updates. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.
What the build depends on. Document parsing, a source-linked editor, tracked revisions, reviewer workflow and reliable document export. Rich presentation or print output needs format-specific QA.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: detect affected pages; draft new examples. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Remaining modules: flag broken references; assign engineer review; produce release-linked updates. Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$35,000about 4 weeks of creation time · start with the MVP from $9,000
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $70–$140 | $100–$200 |
| Full productabout 50 customers | $110–$210 | $700–$1,400 | $810–$1,610 |
Run it or resell it
For your own team
Developer relations leads at API businesses run it inside the business: approved change logs, API definitions and existing docs in, reviewed documentation updates out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#277691 - accent
#c98b54 - surface
#e4eef1 - ink
#22201e
- Headings
- Manrope
- Text
- Manrope
- Voice
- Technical, direct, no hype
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 400-1,500 for a tightly scoped initial content package. Convert repeated work to a monthly retainer with explicit deliverable and revision limits. Specialist review and substantial research are separately scoped. Prices are hypotheses.
Message to test
Software documentation maintenance for developer relations leads at API businesses. Documentation changes remain traceable to specific product releases. Demonstrate the claim through a release-to-documentation impact report.
Where to find buyers
Developer documentation agencies
Lead magnet
A release-to-documentation impact report
The first 30 days
- Week 1: interview five prospective buyers in this segment: developer relations leads at API businesses. Ask to see a recent example of the problem and their current process.
- Week 2: prepare this demonstration using authorized or synthetic material: a release-to-documentation impact report.
- Week 3: present it through developer documentation agencies and seek one narrowly scoped paid pilot.
- Week 4: review stale pages fixed, technical corrections, total delivery effort and a concrete renewal decision before increasing scope.
Paid pilot
Complete one existing brief using the customer’s actual sources. Record reviewer edits, factual corrections and preparation time. Ask the same buyer to commission a second comparable deliverable. For this solution, use approved change logs, API definitions and existing docs and evaluate reviewed documentation updates. Agree success thresholds with the buyer before starting; collect a baseline for stale pages fixed, technical corrections. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.
Success metrics
Stale pages fixed, technical corrections
Retention and expansion
Maintain the approved source and voice library, schedule recurring editorial work, and expand into additional formats only after the core deliverable is repeatedly accepted.
Why clients would pick it
Customer-approved terminology, reusable structures, source libraries and editorial feedback tied to a specific audience and recurring publishing workflow. For this solution, build around documentation changes remain traceable to specific product releases. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.
Alternatives and positioning
Writers, editors, agencies, internal document templates and general-purpose chat tools. Differentiate on this specific proposed advantage: documentation changes remain traceable to specific product releases. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.
Main delivery costs
Research and interview time, transcription, model usage, factual verification, subject-matter review, editing and revisions.
Safeguards
Protect secrets, customer data and source code. Use controlled environments, technical review and a recoverable deployment process. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.