WorkshopIn personcad 15

Engineering inference with ihsan. | Pillars Network x Shaghf Café

NOV10
17:30

About this event

What context are you drawing on when you make life's biggest decisions?
About the event
You’ve watched a coding agent read your files and fix its own mistakes.
You’ve also watched it spin for thirty seconds before saying anything at all.
So what’s actually happening underneath?
Join Pillars Network for an evening that opens up the AI machines you use every day, and asks what it can teach us about the decisions we make as Muslims.
Danial Hasan will kick off the night by taking you from the agent on your screen to the infrastructure behind it. He’ll connect applied AI (how agents and their harnesses are built) with inference engineering (how the tokens powering them actually get delivered).
Then Hassam Munir, Islamic historian and educator, turns inference back on us. He will take us through how past generations navigated new technologies and innovations, what they drew on when the answer wasn’t obvious and what it means for a generation now facing AI.
Because a model is only as good as what it was trained on.
So are we.
Your ticket includes admission to the event and one drink from Shaghf Café.
Who is this event best-suited for?
This session is one of our more technical events, designed for those who want to go deeper into how AI systems work beneath the surface. Priority will be given to applicants with a computer science or engineering background and hands-on experience building with AI.
To get the most out of it, you should already use coding agents like Claude Code, Cursor or Codex regularly, understand how they operate (calling tools, executing code, managing and compacting context and coordinating with other agents) and have a working sense of what they’re capable of and where they break down.
The session builds directly on that foundation, moving from how agents and their harnesses are built into how inference providers deliver the tokens behind them. Without that background, much of the technical content will be difficult to follow.
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