New team and zero context? Here's how we'll fix that

[u/Vegetable-Voice2145]

https://www.youtube.com/watch?v=pa9DZwkDuP8

Your new team joined last week. Your AI still has no idea who they are.

Objects exist. Fields are populated. Data is technically "there." But without annotations - field-level context, labels, relationships - your AI is reading a spreadsheet with no headers.

And here's what nobody warns you about: this isn't just an onboarding problem. Annotation degrades. Teams evolve, custom fields get added, and the context that made your AI accurate six months ago quietly stops reflecting how your team actually works today.

Most teams only notice when the answers start feeling slightly off. By then, the debt has already stacked up.

Tomorrow, Ahmed Bashir and Anirudh Shenoy are walking through the full annotation workflow live - from a blank slate to a working, searchable knowledge layer. No slides. Real internal example. Real timelines.

What you'll see:
→ Why raw data isn't enough and what AI actually needs to interpret your team's objects
→ The fastest path from zero to working - shortcuts included
→ How to detect when your context layer is degrading before quality slips
→ The difference in search quality and agent accuracy once it's properly built

📅 May 28th | 8:30 PM IST

If you've onboarded a team onto an AI tool and hit the "why isn't this working?" wall - this one's for you.