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Feature Release: LLM Evals in Pipeline Builder | DevCon 6
Product Launch: Agent Engine | DevCon 6
Agents That Do Real Work | Hype Reel | DevCon 6
Feature Release: Interfaces in Workshop | DevCon 6
Code in Prod: AIP Evolve x Tampa General Hospital for Optimized Care | DevCon 6
Product Launch: DevX: SuperRepo & Agent Development | DevCon 6
Code in Prod: Scenario Agents x HD Hyundai Oilbank for Blending Disruptions | DevCon 6
Feature Release: Global Branching & Bulk Model Migration in Workflow Lineage | DevCon 6
Patrick Debois - The Rise of Agent Enablement - AI Native DevCon June 2026
Product Launch: AIP Agents and Ontology-MCP | DevCon 4
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Last Updated: October 31, 2026
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Summary
A scanned PDF and a native electronic PDF present different extraction problems for LLMs. Most tools treat them the same. Your models, imported directly into You can't optimize what you can't see, and you can't scale what only humans can fix. At Evals are no longer limited to only Ontology-backed workflows. At "By stitching these three primitives together, you get an Build a workflow against an interface once, and every object type that conforms to it can use it. No rebuilding required. At Hospitals run on margins under 2%. AI has to earn its keep. At A refinery never stops. Now the ability to optimize it doesn't either. At A change that touches dozens of resources shouldn't have to be made one resource at a time, whether that's reviewing a branch, ... Why do some engineering teams excel at scaling AI coding while others remain mired in the basics? It's not a mystery: the secret ...
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