Require Signed Provenance for AI‑Generated Community Posts
Stop banning or shrugging at AI posts. Require signed provenance tokens to preserve signal, enable nuanced moderation, and align toolmakers on privacy.
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Writing
Long-form essays on AI orchestration, technical program management, AI in project management, and the operational reality of agentic AI in regulated environments.
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Rejecting Untrusted Proxies: Architectures for Memory‑Safe Agent Orchestration
How to secure agent orchestration without trusting proxies: attested runtimes, per-agent sandboxes, deterministic state, wipe protocols, and end-to-end networki
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Make Metacognition a First-Class SLA for Agentic AI
Treat model metacognition as an SLA: calibrate uncertainty, attest introspection, and drive orchestration, billing, and audits for agentic AI.
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Assume the Net Leaks: Designing Agent Protocols for Untrusted Proxies
Assume every proxy can read or corrupt your agent. A concrete stack for end-to-end protection, attestation, and ops that tolerates forensic leaks.
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Bank‑Grade Agent Packaging: Signed, Attested, Metered Skills for Verified Stores
A concrete standard for signed, attested, and metered agent skills to meet verified app stores, control costs, and avoid lock‑in in enterprises.
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Don't Trust the KV Cache: Practical Eviction, Provenance, and Metering for Agentic Reasoning
KV caches aren’t harmless memory. Use provenance-aware eviction and metering to prevent corrupted reasoning, leakage, and runaway spend—with concrete designs.
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Remote-Attested Native Agent Runtimes: How Enterprises Can Escape App‑Store Lock‑In
A practical architecture for native, remotely attested agent runtimes that keep AI off-platform, auditable, and under enterprise cost control.
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Designing Agent Skill Supply Chains for a Verified-App Mobile World
App verification will splinter agent skill distribution. Build signed skill bundles, offline installs, vetting APIs, and fallback runtimes to keep control.
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Design Enterprise Agent Stacks to Survive Platform Gatekeeping & Billing Shocks
Build agent stacks that survive platform vetting, vendor price shocks, and billing risk with self-hosted cores and multi-vendor routing.
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Default Auto Mode Is a Hazard: Enforce Human-in-the-Loop Contracts in Dev Tooling
Auto-mode LLMs shift risk to teams. Build human-in-the-loop contracts—UI gates, runtime checks, provenance, and metering—to keep control and costs predictable.
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Engineering Trust: How Dev Tooling Must Encode Confidence in AI-Generated Code
A concrete blueprint for engineering developer trust in AI tools with identity, cryptographic provenance, deterministic builds, revocation, and humane UX.
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Compile Agents, Not JavaScript: Push Agent Runtimes to Native
Stop shipping agents on JS/SaaS glue. Compile agents to native, typed runtimes to cut risk, cost, and gatekeeping while improving auditability and control.
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Operationalizing Long‑Context Agents: Cost‑Effective, Verifiable Memory at Scale
Practical patterns to run multi‑million‑token agents: KV‑cache grafting, partition‑prompt‑aggregate, long‑context replay, and audit‑first memory.
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Metering Agent Work: A Practical Model to Prevent Token Leaks & Cost Spikes
A practical metering model for agents: bill by work units, not tokens. Prevent leaks, rein in costs, and keep provenance using an enforceable boundary.
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Treat Your Repo Like an Agent Interface: Engineering Code for Coding-AI
Treat repos, APIs, and CI as agent interfaces. Concrete patterns to cut hallucinations, debug AI-generated code, and reduce AI coding costs.
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Make the Terminal the Control Plane for Agent Orchestration
Make the terminal the control plane for agent orchestration: an auditable, cost-effective, developer-centric way to run enterprise agent workflows at scale.
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When SaaS AI Tooling Breaks Your Budget: A Self‑Host Playbook
Rising SaaS AI costs? An engineering-first playbook to shift workloads to a staged, hybrid self-host strategy without disrupting the business.
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Beyond Detection: Practical Git Provenance for AI-Edited Code
Detection alone won’t govern AI-edited code. Here’s a practical, layered Git provenance model—attestations, CI, and policy—that teams can ship now.
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SLA Engineering for LLM Agents: Specifying Failure, Recovery, and Cost
A concrete, testable approach to LLM agent SLAs: specify failure semantics, observability, replanning budgets, and economic duties across tools and vendors.
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Design Patterns for Cost-Aware Agent Orchestration
Agentic AI can quietly melt budgets. Practical patterns for metering, staged fidelity, simulations, and circuit-breakers to make agents accountable.
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Signed Skills: A Practical Standard for Safe, Open Agent Marketplaces
A case for a neutral standard for cryptographically signed agent skills and runtime attestation that keeps marketplaces open while enforcing safety and provenan
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Auditability-first Agent Memory: Design Patterns for Trustworthy Recall
How to build agent memory you can trust: cryptographic provenance, scoped capability tokens, and SLOs for enterprise-ready, auditable recall.
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Operationalizing Defenses Against Persistent-Control in Agentic AI
A layered model—provenance, attestation, confinement, automated red teaming—against persistent-control attacks in agentic AI, with deployable steps.
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Push Agent Skill Distillation to Devices, Not Just the Cloud
Argues for hybrid agent architectures that distill signed skills to devices, cutting cloud costs, reducing data exposure, and escaping platform gatekeeping.
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Survive Platform Gatekeeping: Architecting Enterprise AI Beyond App Stores
How to ship agentic AI under tightening app store rules: architect attested modules, supply-chain proofs, and hybrid delivery to keep control and security.
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Cryptographic Action Tokens: A Governance Model for Agent Orchestration
Require cryptographic action tokens and reproducible execution transcripts for every agent effect to enforce least-privilege, auditability, and rollback.
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Designing Agent-Aware Public APIs: Versioning, Limits, and Contracts
Public APIs need agent-aware design: versioning for agents, capability-bound tokens, semantic rate limits, and verifiable intent contracts to curb abuse and cos
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Platform Gatekeeping Is Killing Agentic Open Source — Fixes
Platform gatekeeping is throttling agentic AI open source. A practical blueprint—manifests, provenance, sandboxes, legal and CI—to keep it portable.
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From Explorer to Trailblazer: A Project Leader's GenAI Roadmap
How project managers can move beyond personal productivity hacks into systematic, transformative use of generative AI - without losing the discipline that makes project management work.
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Multi-Agent AI in Government Isn't a Chatbot Problem
Why the next generation of government digital services needs orchestration, not assistants - and what it takes to deliver multi-agent AI in a regulated, multi-entity environment.
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