For DevRel & Technical Writers

Documentation that
never breaks.

Every code example is a promise: “This works.” But APIs change and examples break. With Caret, write docs with executable code — if it runs in the doc, it works for readers.

Export to Markdown · Every example tested · AI-assisted writing

Caret - AI-powered documentation for DevRel

Every DevRel knows this pain

Documentation that promises 'this works' but doesn't.

🐛

Support tickets about your own docs

'Your quickstart doesn't work.' The API changed, nobody updated the docs. Now you're debugging in public.

📅

Documentation debt piles up

You wrote 50 tutorials. The API shipped 3 major versions. How many examples are still valid? Nobody knows.

⏱️

Content creation is slow

Write prose, switch to IDE, test code, copy-paste output, format, repeat. A 5-minute read takes 5 hours to write.

🎭

Fake code output everywhere

That nicely formatted JSON response? You hardcoded it. The real API returns something different. Developers notice.

Write once, trust forever

Documentation where every example actually runs.

Before: Traditional Docs

## Make a Request

Run this code:

response = requests.get("/data")
print(response.json())

Expected output:

{"status": "success"}
// ← You hope this is accurate
After: Caret Docs

## Make a Request

Run this code:

response = requests.get("/data")
print(response.json())

Output: ✓ Live

{"status": "success"}
// ← ACTUAL response, right now
api-quickstart.caret
## Getting Started with Our API
Step 1: Authenticate with your API key
Output
✓ Authenticated successfully
Token expires in: 3600 seconds
Step 2: Fetch your first resource
Output
HTTP 200 OK

{
  "id": "usr_12345",
  "name": "John Doe",
  "email": "john@example.com",
  "created_at": "2024-01-15T10:30:00Z"
}
Step 3: Update the resource
Output
HTTP 200 OK

{
  "id": "usr_12345",
  "name": "John Updated",
  "updated_at": "2024-01-15T10:35:00Z"
}
How it works

Write tutorials that test themselves

1

Write with AI assistance

Describe what you want to demonstrate. AI generates clean, idiomatic code examples.

2

Execute & verify

Run every example in your document. See real output. If something breaks, you know before publishing.

3

Publish & update

Export to Markdown, HTML, or share a link. When the API changes, re-run and see what breaks.

Use cases

What DevRel teams build with Caret

API Quickstart Guides

Install → Authenticate → First request → Success. Every step executable, every output real.

Quickstarts that actually quick-start

Interactive Tutorials

Concept → Example → Output → Practice. Hands-on learning with verified code.

Tutorials developers actually complete

SDK Reference Docs

Method signature → Parameters → Example call with real output → Error handling.

Reference docs developers trust

Integration Guides

Prerequisites → Configuration → Test connection → Common workflows.

Higher integration success rates
Features

Tools for technical content creators

Everything you need to write docs that work.

Executable Code Blocks

Python, JavaScript, shell — all executable in the document. Readers see the exact output your code produces.

AI Code Generation

Need 10 code examples for different use cases? Describe them. AI generates clean, working code.

Multi-Language Support

Python, JavaScript, curl, Ruby, Go — create examples in whatever languages your developers use.

Beautiful Output

JSON responses render formatted. DataFrames become tables. Charts display inline. No manual screenshots.

Version Control

Track every change. Roll back to previous versions. Know what changed and when.

Export Anywhere

Export to Markdown for your docs site. Generate HTML. Create PDFs. Publish anywhere.

Content creation, accelerated

Write better documentation in half the time.

Traditional Workflow

1. Write outline (30 min)

2. Set up test environment (30 min)

3. Write code example (20 min)

4. Run, debug, iterate (40 min)

5. Copy code, format (10 min)

6. Take screenshot (10 min)

7. Crop, annotate (15 min)

8. Repeat for 5 more examples (3 hrs)

Total: 4-6 hours
Caret Workflow

1. Write outline with AI (15 min)

2. Generate code examples (30 min)

3. Run all, verify output (10 min)

4. Polish prose (30 min)

5. Publish (1 min)

Total: 1-2 hours
Testimonials

DevRel teams ship better docs

We cut documentation bugs by 80%. If it runs in Caret, it runs for developers. No more 'this example doesn't work' tickets.
Alex Rivera
Head of DevRel
Result
80% fewer doc bugs
I used to spend 2 hours per tutorial on screenshots and output formatting. Now the output IS the screenshot. It's real.
Sam Lee
Developer Advocate
Result
3x faster creation
API versioning used to mean updating every code example manually. Now I just re-run the notebook and see what breaks.
Jordan Chen
Technical Writer
Result
10x faster updates

Ship documentation your developers will thank you for.

Join DevRel teams writing docs that actually work.

Free plan available · Upgrade anytime