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https://www.youtube.com/watch?v=voF6x1aV_z4
Deterministic AI Design with Capability OS: Save from the AI Bubble - Live demo of Omni Agent
Everyone is piloting agents, copilots and AI platforms. Very few are asking a harder question: which of these systems will still be trusted when the AI bubble bursts?
In this session I'll share my 1.5-year journey from raw LLM experiments and messy AI-generated code to a deterministic, decision-first architecture for agentic systems.
I will demo Omni Agent - a Capability OS for Enterprise AI - and then walk through how it is designed and built using Decision-Driven Software Engineering (DDSE) and the Agentic Contract Model (ACM) so that execution stays bounded, auditable and aligned to your decisions, not the model's mood.
What you'll see
• End-to-end walkthrough of Omni Agent: goals, plans, tasks, ledgers, telemetry
• A real scenario on a codebase (e.g. an Angular chat app) - from "investigate this" to concrete actions and tracked outcomes
• How decisions, capabilities, contracts and context are modeled in DDSE & ACM
• Architecture view of Omni Agent as a "Capability OS": planner, executor, context layers and extensibility
• Honest trade-offs: what is still weak, what's missing, and where this approach may or may not fit your environment
Who this is for
• Engineering leaders and architects evaluating agentic platforms
• Developers who want more than "prompt + tools" and care about system design
• Anyone worried about the AI bubble and looking for deterministic, governable AI systems
Format
• ~40 minutes of platform demo + design walkthrough (via YouTube Premiere)
• I'll be present live in the chat
• Follow-up Q&A thread on LinkedIn for deeper questions
Deterministic AI Design with Capability OS: Save from the AI Bubble - Live demo of Omni Agent
Everyone is piloting agents, copilots and AI platforms. Very few are asking a harder question: which of these systems will still be trusted when the AI bubble bursts?
In this session I'll share my 1.5-year journey from raw LLM experiments and messy AI-generated code to a deterministic, decision-first architecture for agentic systems.
I will demo Omni Agent - a Capability OS for Enterprise AI - and then walk through how it is designed and built using Decision-Driven Software Engineering (DDSE) and the Agentic Contract Model (ACM) so that execution stays bounded, auditable and aligned to your decisions, not the model's mood.
What you'll see
• End-to-end walkthrough of Omni Agent: goals, plans, tasks, ledgers, telemetry
• A real scenario on a codebase (e.g. an Angular chat app) - from "investigate this" to concrete actions and tracked outcomes
• How decisions, capabilities, contracts and context are modeled in DDSE & ACM
• Architecture view of Omni Agent as a "Capability OS": planner, executor, context layers and extensibility
• Honest trade-offs: what is still weak, what's missing, and where this approach may or may not fit your environment
Who this is for
• Engineering leaders and architects evaluating agentic platforms
• Developers who want more than "prompt + tools" and care about system design
• Anyone worried about the AI bubble and looking for deterministic, governable AI systems
Format
• ~40 minutes of platform demo + design walkthrough (via YouTube Premiere)
• I'll be present live in the chat
• Follow-up Q&A thread on LinkedIn for deeper questions