Dave M

Dave M

Architect Building AI and Media products
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✨ 3 day streak
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About

10 years in cloud solution architecture. Now building for AI: WrangleAI handles the operational cost governance layer, the Agentic Architecture Framework handles the thinking. Both are about the same thing; making AI systems cost-predictable, safe, and actually governable.

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Maker History

Forums

AISA (aisa.to) AI Fluency Assessmentp/aisa-ai-skills-test-ai-leaderboard•

5d ago

What is BAD vs. GOOD AI judgement?

Would love to hear thoughts.
Here's my perspective.
I'm against AI slop, but I'm not against AI. I believe AI is a great tool but it also needs greats pilots to use it well. This is what I'm working on. AI Fluency.

Biggest marker of AI fluency is AI judgement. Where and when to use AI and where and when not to.

BAD AI JUDGEMENT

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3d ago

Agentic Architecture Framework - Vendor Agnostic Opensource Architecture Framework

The Agentic Architecture Framework: community-driven, governance-first architecture guidance for building safe, reliable, and scalable agentic AI systems. Adapted from the Cloud Well Architected Framework, the AAF aims to sit above orchestration frameworks and provide architectural principles and guidance to humans and agents alike. Contributions very welcome!
OpenBoxp/openbox•

2mo ago

The boring AI topic that becomes important the moment your agent touches real customer data

I've never seen anyone get excited about governance during an ai agent demo.

When an AI agent is answering questions, booking meetings, or completing a workflow in a test environment, the conversation is usually about capabilities. How fast is it? How accurate is it? Can it handle more tasks?

The tone tends to change once the same agent is connected to customer accounts, internal systems, or business data. Suddenly people want to know who can access what, whether actions can be reviewed later, and how mistakes get handled when the outcome affects a real person instead of a test case.

What's interesting is that the technology often hasn't changed very much. The model is the same. The workflow is similar. The difference is that the consequences are now real.

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