AI InputLab
Workflows··4 min read

Preparing Help Center Content for an AI Support Bot

Turn help center articles and FAQs into clean, retrievable knowledge for AI customer support assistants.

Export and convert

Copy help center pages and convert them with the Markdown Converter. PDF manuals and policy docs go through the Batch Document Extractor.

Write for retrieval

Small changes boost accuracy:

  • Question-style headings
  • One answer per section
  • Explicit product and plan names
  • Remove outdated versions

Test with real tickets

Run twenty recent support questions through the bot. Where it fails, fix the source article rather than the prompt. Keep file sizes manageable with the Token Counter.

Try it free in your browser

  • Markdown Converter — Paste HTML, DOCX, or webpage text and get tidy Markdown.
  • Token Counter — Live token, character, and context-window meter for any prompt. Uses official tiktoken encoders.
  • Batch Document Extractor — Drop PDFs, images, Word docs, and text files together. Get clean text out — combined or zipped one-per-file. Browser-side OCR included.

Tools mentioned

Frequently asked

Why does my support bot give outdated answers?

Old articles are still in the knowledge base. Remove or update them; retrieval cannot tell which is current.

What heading style works best?

Headings phrased as customer questions match how users ask.

Keep reading

Workflows··6 min read

How to Prepare PDFs for ChatGPT, Claude, and Gemini

A practical guide to extracting clean, AI-ready text from PDFs — born-digital and scanned — so ChatGPT, Claude, and Gemini answer accurately and don't waste tokens on headers, footers, and page numbers.

Models··7 min read

The Best Way to Feed Long Documents to Claude (and Other Long-Context Models)

Claude's 200K-token context is generous, but you'll still want to clean, compress, and structure long documents before sending them. Here's a step-by-step playbook.

Workflows··5 min read

Cleaning Whisper Transcripts for AI Summaries

OpenAI Whisper, Otter, and YouTube transcripts are full of timestamps, filler words, and speaker noise. Here's how to strip them before sending to ChatGPT or Claude — and why it matters.