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Most of my articles are about the Astrophotos that I take during my free time. I also write about software architecture and modern application developmentStay Tuned
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A few handcrafted articles about my thoughts and experiments.
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Capability Tokens for AI Agents
A practical model for granting AI agents narrow, temporary, auditable authority to use tools, touch data, and perform consequential actions.- Published on

Agent Queues Need Backpressure
How AI work queues should control intake, priority, concurrency, retries, and human review so autonomous systems do not turn demand into uncontrolled motion.- Published on

AI Runbooks Are Product Interfaces
Why agent systems need operational runbooks that encode intent, evidence, authority, escalation, and recovery instead of leaving procedure trapped in prompts.- Published on

Build the Smallest Autonomous Loop That Can Work
A practical way to scope AI autonomy around one observable goal, one bounded action surface, and one trustworthy feedback loop before expanding further.- Published on

AI Incident Response Starts Before the Incident
How to prepare containment, evidence, ownership, communication, and recovery for AI failures before a fast-moving agent system makes them necessary.- Published on

Verification Must Be Independent
Why agents should not be the sole judges of their own work, and how separate evidence, evaluators, and invariants create trustworthy completion.- Published on

Sandboxes Are Capability Containers
Why effective AI sandboxing is about constraining authority, data, tools, networks, and persistence—not merely isolating a process.- Published on

Retrieval Needs Admission Control
Why reliable AI context depends on source authority, freshness, conflict handling, and deliberate exclusion—not merely finding semantically similar documents.- Published on

Structured Outputs Are Protocol Boundaries
Why schemas, validation, repair, and semantic checks are the boundary that turns probabilistic model output into dependable system behavior.- Published on