From a model to a shipped AI product
Azure AI Foundry is the platform Microsoft built for the part everyone underestimates — everything after the demo.
What you'll learn
- Why the demo works and the product still does not ship
- How one Foundry project holds the model, your data and the agent
- What to evaluate and filter before a release, not after
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Drawing…
Understand it one step at a time
The short runs these in order in about 25 seconds. Here they are written out — pick any step to jump the short straight to it.
The demo is easy. Shipping is not
Models, your data, evaluation, safety and monitoring — five separate tools, glued together by hand, each with its own SDK and its own outage.
Frequently asked questions
- Why does an AI demo work but the product still not ship?
- A demo only has to answer once, well, on a curated question. Shipping requires evaluation against a real range of inputs, content filtering, and monitoring — the parts that don't show up in a five-minute demo but decide whether the product is safe and reliable in production.
- What does Azure AI Foundry actually bundle together?
- One project holding the model catalog, your own data, the agent built on top of it, evaluation tooling and safety guardrails — all under the same Azure identity and access controls, rather than stitching separate services together yourself.
Free app · no app store
These are built for a phone
Every short is drawn at full portrait height, the shape a phone already is. Installed, it opens full-bleed with no address bar across the top — and the whole library reads offline.
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