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PRODUCT

Real-time document intelligence for your AI knowledge base. Monitor quality, identify gaps, and improve your AI's responses.

Quality Dashboard
Real-time performance metrics for your AI knowledge base
Teckel AI Performance Metrics

HOW TECKEL AI WORKS

Three simple steps to transform your AI's accuracy

1

CONNECT YOUR AI

Add our lightweight SDK to your existing AI chat system. Works with any LLM provider in under 20 minutes.

2

MONITOR QUALITY

Every query is automatically scored and grouped. See which topics are performing well and which cause failures.

3

IMPROVE DOCUMENTS

Get alerts about knowledge gaps and bad output. Fix the root cause to improve your AI's responses instantly.

BUILT FOR ENTERPRISE AI APPLICATIONS

Whether you're building an internal chatbot or customer-facing AI, Teckel ensures your knowledge base delivers accurate, reliable answers.

HR & BENEFITS CHATBOTS

Ensure employees get accurate information about policies, benefits, and procedures.

  • Track policy questions by topic
  • Identify handbook gaps
  • Monitor employee queries

PRODUCT SUPPORT AI

Keep product documentation current as features evolve and customer needs change.

  • Track user questions for roadmap feedback
  • Documentation freshness management
  • Support ticket reduction

COMPLIANCE Q&A SYSTEMS

Maintain accurate, up-to-date regulatory information across complex knowledge bases.

  • Keep records for audit compliance
  • Ensure sensitve questions are answered right
  • Track and locate high priority issues

QUICK INTEGRATION, FRAMEWORK AGNOSTIC

INTEGRATION EXAMPLE

1. Install the SDK

npm install teckel-ai

2. Initialize with your API key

import { TeckelTracer } from 'teckel-ai';
const tracer = new TeckelTracer({ apiKey: 'your-api-key-here' });

3. Track any LLM interaction

// Your existing RAG flow (any LLM provider)
const response = await openai.chat.completions.create({...});
// Add Teckel monitoring (conversation-first SDK)
const conversation = tracer.start({
sessionRef: sessionId,
userRef: user.email // Optional
});
conversation.trace({
query: userQuery,
response: aiResponse,
model: 'gpt-5',
documents: [{
documentRef: 'user-manual.pdf',
documentName: 'User Manual',
documentText: 'Retrieved content...'
}]
});
// Serverless: ensure delivery before returning
await conversation.flush(5000);

READY TO IMPROVE YOUR AI'S ACCURACY?

Join leading companies using Teckel AI to transform failed queries into better documentation.

SEE A 15 MINUTE DEMO