Practical AI insights for engineering leaders
Technology executive specializing in AI and platform engineering. Former AWS, Oracle, and Slalom, now Field CTO at 3Pillar Global.
Practical AI insights for CTOs and engineering leaders. Check out my About page to learn more.
Featured
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When Accuracy Misleads: Cost Matrix Metrics and Thresholds
• UpdatedWhen does accuracy mislead? A sealed, pre-registered SECOM evaluation: the top model by accuracy catches zero defects until the threshold matches costs.
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Verifying x402 Endpoints: The 5-Check Buyer Recipe
• UpdatedHow to verify an x402 endpoint before you pay: 5 free or cheap checks, 4 of 4 hostile-seller failure modes detected, 1 of 3 live endpoints diverged.
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Pay-Per-Call APIs: $0.005 Calls, Measured Treasury Costs
• UpdatedSub-cent API calls clear the card fee floor and settle at request; measured USDC off-ramp sweeps show deterministic treasury costs for pay-per-call revenue.
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x402 on Cloudflare Workers: AI Agents Pay Per Call in USDC
• UpdatedAI agents pay per call in USDC on Base mainnet; no accounts, no API keys. The full HTTP 402 handshake, documented from a production deployment.
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Agent-Ready Websites: The 5-Layer Implementation Stack
• UpdatedYour website serves two audiences now: humans reading HTML and agents calling tools. Measure agent readiness across five layers and learn what to ship first.
Recent Posts
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When Should an AI Agent Enumerate, and When Delegate?
• UpdatedA sealed 240-call exhibit grounds the boundary between decision spaces an agent should enumerate exactly and those it should delegate to a typed judge.
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Does WebMCP Pay Off for Content Sites?
• UpdatedAcross 135 agent runs on a production blog, shrinking a four-tool WebMCP surface yielded little median-token benefit; relevance ordering mattered more.
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How Much Tool Documentation Do AI Agents Actually Need?
• UpdatedTrimming MCP tool-definition prose cut cold-call input tokens 12-14% with no statistically detectable accuracy loss across two model tiers.
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AI SDLC Governance: Three Layers for Engineering Leaders
• UpdatedA three-layer governance stack (comprehension, review gate, and observability) gives engineering leaders measurable control over AI-generated code volume.