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Hybrid Workshop: Build Your Own AI Inventory Advisor

Event artwork for Hybrid Workshop: Build Your Own AI Inventory Advisor

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About this event

What to expect

Build a working AI Inventory Advisor in this hybrid, hands-on workshop in Frankfurt on 12 September 2026.

Hosted by Learn & Build Tech Community, this three-hour session turns a practical purchasing problem into a reusable lesson in building AI decision tools. Rather than relying on a chatbot for a vague opinion, you’ll create an application that examines what you already own, compares it with a proposed purchase or renewal, and returns a reasoned verdict: buy it or skip it.

The inventory advisor is the starting point, but the underlying method can be adapted to decisions involving pricing, hiring, suppliers or product features. Central to the workshop is the “delta engine” pattern: a structured approach that asks AI to score the gap between an existing option and a potential replacement, then explain its recommendation.

What you’ll build and learn

Working step by step with the group, you will:

  • Frame the problem like a builder, covering the data model, information capture and decision logic
  • Create the inventory and capture flow
  • Build the AI-powered recommendation engine
  • Test the prototype live using your own examples
  • Explore a repeatable process for moving from an idea to an AI prototype
  • Ask questions as you develop and test the application

By the end of the afternoon, you should have a working prototype running on your own laptop, not simply a set of slides or concepts. You’ll also receive the full source code to keep, extend and reuse, plus a practical understanding of how to make AI weigh options and justify a decision.

Who should attend?

The workshop is designed for developers, founders, makers and AI-curious participants who prefer to learn by building. Expert-level knowledge is not required: if you are comfortable following along and typing on your laptop, the session is intended to be accessible. Bring a laptop, your curiosity and one recurring decision you would like to evaluate more effectively.

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