Training Best Practices
Best practices for training your agent on company knowledge
The quality and relevance of your training data directly impacts how well your agent performs. This guide covers what to train on, what to avoid, and how to get the best results.
Where to connect your knowledge
Past tickets
Your team's resolved conversations
Zendesk, Freshdesk, Intercom, Gorgias, Jira
Macros/Canned responses
Pre-written response templates
Zendesk, Freshdesk, Gorgias
How syncing works
Once connected, eesel AI keeps your knowledge up to date:
Automatic re-sync — Content is periodically refreshed to pick up changes
Manual sync — You can trigger a re-sync at any time from the integration settings
Status indicators — The sidebar shows sync status (syncing, complete, failed)
What makes good training data
Help center articles
Your help center is usually the best starting point — it's already written for customers and covers common questions.
Make sure articles are up to date before syncing
Published articles work better than drafts
Well-structured articles (clear headings, short paragraphs) produce better answers
Past tickets
Training on resolved tickets helps your agent sound like your team and handle real-world scenarios.
Focus on tickets with good resolutions — your agent learns from the quality of replies
Filter by status (resolved/closed) to avoid training on incomplete conversations
Recent tickets are more valuable than old ones
Internal documents
Confluence, Notion, and Google Drive docs give your agent internal context that help center articles might not cover.
Start with your most frequently referenced documents
Avoid training on out-of-date or deprecated content
Organize documents clearly — the agent uses document structure to understand context
Website content
Crawling your website is a quick way to add product information, pricing, and FAQs.
Use path filters to include only relevant sections
Exclude marketing pages, careers pages, or other non-support content
The crawler respects robots.txt
Best practices
More relevant knowledge > more knowledge. A focused set of high-quality articles works better than dumping everything. Irrelevant content can confuse the agent.
Keep sources up to date. If your help center articles are outdated, your agent gives outdated answers. Update the source and re-sync.
Combine source types. Help center + past tickets + internal docs gives the most complete coverage:
Help center → what to answer
Past tickets → how to sound
Internal docs → extra context and edge cases
Test after adding sources. After adding new knowledge, test in the chat to make sure the agent finds and uses it correctly.
Monitor unanswered questions. Use Analytics to find questions your agent can't answer, then add knowledge to fill those gaps.
Last updated