LLM Native Documentation

Get real-time product intelligence while reducing user churn

Turn your static documentation into LLM-ready developer tools while capturing developer queries as product intelligence.

5-minute setupNo engineering required
Poltrana MCP Product Intelligence

Poltrana AI

Total Queries
12,451

+12.3% vs last period

Unique Users
35

+8.1% vs last period

Articles Served
22

+15.7% vs last period

Avg Queries / User
355.7

+4.2% vs last period

Query Volume
Cumulative query volume over time
Query Intent
Breakdown by intent category
Debugging4436
Coding3044
Code Review1913
Refactoring1196
Installation982
Maintenance880
Top Articles Returned
Most frequently served documentation

The Problem

PMs are flying blind

No visibility into usage

You have no visibility into real developer usage patterns. Decisions are made on guesswork, not data.

Invisible feature gaps

Feature gaps are invisible until users churn. By the time you learn what they needed, they've already left.

Stale AI training data

Coding agents are trained on out-of-date documentation. Developers get hallucinated answers about your product.

Key Benefits

Turn documentation into a two-way conversation

Poltrana AI turns your static documentation into LLM-ready developer tools while capturing developer queries as product intelligence.

Real-World Product Intelligence

  • See exactly what developers are asking about before they build
  • Capture feature requests as they emerge
  • Understand actual usage patterns
  • Discover use cases you never imagined
AI Coding Agent

How do I set up the Angular integration for the event tracking SDK?

There is currently no Angular integration for the event tracking SDK. The available integrations are React, Vue, and Svelte. I'll flag this as a feature request.

Faster Time-to-Hello-World

  • Reduce churn in the onboarding process
  • Eliminate LLM hallucinations about your product
  • Developers get answers from YOUR current docs, not stale training data
AI Coding Agent

I want to send my first event using the Python SDK. Walk me through it.

Sure! First, install the package: pip install acme-sdk. Then initialize with your API key and call acme.track('hello-world'). You should see the event in your dashboard within seconds.

LLM-Native from Day One

  • Developers get instant, accurate answers through their AI tools
  • Your docs work seamlessly where developers already are
  • Zero-friction MCP integration experience
Claude Code logo
Claude Code
GitHub Copilot logo
GitHub Copilot
OpenAI Codex logo
OpenAI Codex
Gemini Code Assist logo
Gemini Code Assist
Windsurf logo
Windsurf
Cursor logo
Cursor

Spot Issues Early

  • Identify confusing documentation areas in real-time
  • Catch implementation problems as developers encounter them
  • Surface gaps between what you built and what developers need
Compatibility Issue Detected

12 queries in the last 24h reference Python 3.14 + your SDK v2.3. Your docs only cover up to Python 3.12.

python/3.14sdk/v2.3

How It Works

Implement in 5 minutes

No engineers needed. Seriously.

1

Crawl

Give us your documentation page. We'll crawl it for you and build a custom MCP server that queries your up-to-date documentation.

2

Developers Query

Developers add the MCP to their preferred LLM tools -- no change to their workflow. They get accurate answers instantly.

3

Gain Insights

Live dashboard shows the latest queries with product intelligence. See what developers need in real time.

The New Reality

Developers don't read docs -- they ask LLMs

You can either:

Without Poltrana

  • Hallucinated answers from outdated training data
  • No idea what developers are struggling with
  • Feature gaps discovered only after churn
  • Documentation updates don't reach LLMs for months

With Poltrana AI

  • Accurate answers from your current documentation
  • Real-time visibility into developer queries
  • Feature requests captured as they emerge
  • Docs are always up-to-date across every LLM tool

Dashboard

Poltrana AI Dashboard Insights

Which features developers are actually using

Where your mental model diverges from real usage

What features customers wish existed -- before they find a competitor who does

Which parts of your API are confusing -- even if completion rate looks fine

Team with experience from

Twilio logoTwilio
Stripe logoStripe
Google logoGoogle
Meta logoMeta
Uber logoUber
Palantir logoPalantir

See what developers are really asking about your product

Future-proof your documentation. Works with any LLM, privacy-first, and integrates with your existing workflow.

Works with Linear, Slack, and your existing analytics stack.