Product, docs, support, AI teams

The foundation layer for company knowledge

Built from the DevDocs.work documentation practice, DevDocs.ai turns product knowledge into shared knowledge infrastructure for docs sites, customer portals, support answers, and AI agents.

For the teams accountable for product knowledge

DevDocs.ai is for the teams blamed when product knowledge is wrong: support and success, product and docs, engineering, and AI platform owners. It traces code, tickets, expert input, and documentation against real product behavior, then turns that operating model into a maintained system.

New ticket

Describe your issue

I am not able to find the cancellation policy if I can't attend a class I've booked. Are there any penalties or fees if I can't attend a booked class?

Support and success leaders

Give reps answers grounded in current policy, product behavior, account context, and ticket history without asking them to search five systems first.

Product and docs leaders

Turn specs, release notes, code, support learnings, and expert review into docs sites and portals that stay aligned after launch.

Product

Acme Platform

Problem areaSeverity level

Cron jobs

High

Subject

Cron service is down

Message

Processed message: We are experiencing 404 errors on the cron endpoint since this morning. Upon reviewing the logs, it appears that this error is not properly detected.

Original message: Help! Cron is alwys retunning 404s now its happening all the time since this morning!!! Ntohing to see in the logs!

Submit case

Engineering and AI platform teams

Give internal agents and AI features current product context, approved tools, and permission-scoped source material instead of stale snapshots.

Compose

May 14, 3:42 PM

DetailsDevDocs.ai

AI Draft Composer

Hi Tyler!

Yes, the cancellation policy for a booked class may vary depending on the studio you are booking with. Generally, we allow you to cancel a class reservation without any penalty up to 12 hours before the class starts. However, if you cancel later than that, you will be subject to a late cancellation fee. This fee is deducted from your credits.

Best,

Joshua

Generate draft

Insert reply

Support automation owners

for Salesforce and Zendesk

Generate drafts, summaries, routing, and escalations from the same maintained knowledge layer your docs sites and portals use.

Connect the systems where knowledge is born

Product knowledge is not in one wiki. It is split across code, tickets, docs, Slack decisions, CRM fields, meetings, websites, and APIs. DevDocs.ai continuously ingests those sources and normalizes them into a permission-scoped knowledge layer.

DevDocs.ai supports encryption at rest, and is actively pursuing SOC 2 Type II compliance.

Publish the knowledge where people work

One accurately maintained source can power a customer docs site, an employee portal, a support workflow, and an AI agent. Each audience gets the right surface without creating another stale copy.

Customer and developer docs sites

Turn connected source material into searchable docs sites with scoped content, consistent design, and freshness checks built in.

Customer and employee portals

Give people a signed-in place to search docs, see account-aware context, request help, and take approved actions.

Gaps and conflicts surfaced

Use search, portal, and workflow analytics to find missing, stale, or conflicting knowledge before people and agents act on it.

For engineering teams shipping AI features

Expose the same knowledge layer through REST APIs, SDKs, and an MCP gateway so agents can read current product context and call approved tools. Your team controls auth, permissions, source systems, and where answers appear.

~

#Sync source content

$

curl https://api.devdocs.ai/v1/train -X POST \
  -H "Authorization: Bearer <TOKEN>" \
  -F 'file=@./post.md'

#Query current product knowledge

$

curl https://api.devdocs.ai/v1/chat -X POST \
  -H "Authorization: Bearer <TOKEN>" \
  -d '{
    "messages": [{ "role": "user", "content": "How do I claim my credits?" }],
    "model": "gpt-4-32k"
  }'

#Fetch project insights

$

curl -X GET "https://api.devdocs.ai/v1/insights/queries" \
  -H "Authorization: Bearer <TOKEN>" \
  -d '{ "from": "2023-09-01T22:00:00" }'

 1  import { DevDocsAI } from '@devdocsai/react';
 2  import { syncSource } from '@devdocsai/core';
 3  
 4  export default function CustomerPortal(): ReactElement {
 5    return <DevDocsAI
 6        projectKey={process.env.NEXT_PUBLIC_PROJECT_KEY}
 7        portal={{
 8          surface: 'customer-docs',
 9          sources: ['docs', 'policies', 'account-data'],
10          requireAuth: true,
11        }}
12      />
13  }

See where your product knowledge breaks

We will trace one product area across code, tickets, docs, Slack, and support workflows; show where facts conflict or go stale; and map the docs, portals, answers, and agent context DevDocs.ai should maintain.

All systems normal

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