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Michael Beckrestleft a comment
Today I’m launching the GENYS Live Context Demo. The thesis is simple: AI systems need a system of record. Right now, most AI outputs disappear into chat logs, dashboards, or disconnected tools. GENYS turns live context into a structured decision record: what signal came in, what policy applied, what action was recommended, what output was generated, and what can be verified afterward. This...
GENYSTurn live context into AI decision records
Michael Beckrestleft a comment
Today I’m launching AdResonance, an omnichannel advertising intelligence layer. The problem is simple: advertising data is fragmented across platforms. Google, Meta, Shopify, TikTok, analytics tools, and vertical demand channels all show partial truth. Teams are left trying to understand what happened, why performance moved, and what decision should come next. AdResonance is built to turn those...
AdResonanceOmnichannel advertising intelligence
GENYS turns live public context into structured AI decision records: inputs, policies, actions, outputs, and verification in one traceable packet. This demo shows how AI systems can move from raw signals to governed decisions with a reusable system of record.
GENYSTurn live context into AI decision records
AdResonance turns fragmented ad channels into a governed decision system. It records what campaigns saw, what rules applied, what actions executed, and which outcomes improved the next decision across Google, Meta, Shopify, and vertical demand environments.
AdResonanceOmnichannel advertising intelligence
Michael Beckreststarted a discussion
How does AdResonance handle decision memory across ad platforms?
AdResonance looks less like a campaign tool and more like an omnichannel advertising intelligence layer. The key question: how are decisions recorded and improved over time? Is the system mainly logging inputs/actions/outcomes, or is it acting as a true decision runtime that governs execution across APIs like Google Ads and Meta before actions are launched? If it’s the latter, this feels closer...
Michael Beckrestleft a comment
Codex was the core build partner behind GENYSAI.com, the AI decision-runtime system I built and tested through the OpenAI Hackathon at the University of Utah. I used Codex to ship nearly 30,000 lines of production-grade code across architecture, UI, backend logic, decision records, routing flows, and debugging. The value was not just that it wrote code. The value was that it helped sustain a...
Codex 3.0 by OpenAICodex can now build, test & debug on autopilot