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Long-form notes on agentic-first development, AI / ML systems, blockchain rails, crypto market structure, digital music, and the small frictions that change when intelligent automation moves into the loop.

total113 posts

words244,438

topics7

first post2025-10-27

last post2026-09-24

cadencelive

all 113 ai-agents 21 evaluation 10 governance 3 agent-ops 6 parallel-test-time-scaling 1 long-horizon-agents 1 compaction 1

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.md ★ 12 min · 2026-07-07

the-agent-stack-is-getting-protocols-before-it-gets-governance.md

MCP, A2A, and agent SDKs make agents easier to connect. Production trust depends on the control layer above them: authority, review, evidence, recovery.

topic AI Agents words 2,704 open →

.md ★ 14 min · 2026-07-03

the-agent-stack-governance-checklist-authority-review-provenance-and-handoffs.md

A practical checklist for designing authority, review, provenance, and handoff gates around MCP, A2A, and agent SDK workflows before they touch production work.

topic AI Agents words 3,147 open →

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6 posts · sorted by timestamp

$ cd 2026/ 14,986 words

2026-07-02 10 min green-status-is-not-shipped-work.md Agent workflows need deliverable-level acceptance tests because internal completion state is not the same thing as user-facing proof. → 2026-07-02 11 min protocols-make-agent-exchange-legible-governance-still-lives-above-the-protocol.md A2A and MCP make agent exchange easier to standardize, but they do not decide authority, review, provenance, memory, escalation, or accountability. → 2026-06-28 11 min protocols-are-saturating-the-operators-gap-is-governance-not-transport.md MCP, A2A, and ACP are solving transport. But authority, review, memory, and handoff — the governance layer no spec hands you — is what makes a stack safe. → 2026-06-27 13 min your-ai-shouldnt-be-one-assistant-it-should-be-a-room-full-of-desks.md One generalist assistant is the wrong unit of deployment. The right unit is a small, named fleet — each desk owns a queue, a memory, and a hand-off. Operator sits in the loop. → 2026-06-25 9 min patent-search-is-table-stakes-ip-intelligence-is-the-product.md AI is making patent search easier to access, but durable product value is moving to always-on IP intelligence: monitoring, context, evidence, and human review workflows. → 2026-06-24 15 min the-personal-ai-os-wont-be-a-chatbot-it-will-be-a-continuity-layer.md Agents are becoming abundant. The scarce platform is the continuity layer that carries goals, memory, permissions, workflow state, and verified outcomes across apps, devices, agents, APIs, and humans. →

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