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The model is not enough - it doesn't come with an understanding of how your business or team works. That context is spread across the work happening every day: files, conversations, emails, databases, and apps. Figuring out what matters for a particular task, and what the model actually needs,... show more
42,104 views • 4 days ago •via X (Twitter)
8 Comments

Thank you for this!

So at the end WorkIQ `ask` tool is just an agent that calls Microsoft Graph underneath?

The hard part is not giving an agent more context, but knowing which context actually matters and preserving why it mattered. Once that context is tied to evidence, decisions and outcomes, it can become reusable knowledge instead of being reconstructed from scattered systems every time.

It’s still not working as you described. Perhaps in a few years, I’ll have WorkIQ to read saved contract prices and term limits without making assumptions. However, it’s too predictive; it needs to be more deterministic when gathering the context.

I've tried versions of this. Most of them fall down on the ranking, so that's what I'd poke at first.

Made an English version of my video on why it's so strong.

Work IQ is like an MCP Octopus :)

Finally someone explaining the Microsoft Moat! @clamanna appreciate the effort.


