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A few handcrafted articles about my thoughts and experiments.

A compact clockwork greenhouse tends one thriving plant while an enormous unfinished autonomous factory stands idle in the distance
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.
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A calm night operations team rehearses containment around a physical system model while the real autonomous machine remains visible through an observation window
Artificial Intelligenceagent-securityobservabilityreliability
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.
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A bridge section built by one industrial rig is subjected to independent alignment and load tests by a separate inspection system
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.
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A powerful experimental machine operates inside a transparent containment chamber with only a few permitted tool channels crossing concentric safety walls
Sandboxes Are Capability Containers
Why effective AI sandboxing is about constraining authority, data, tools, networks, and persistence—not merely isolating a process.
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A curator admits a small ordered set of records from a chaotic archive conveyor into a bright, quiet reading chamber
Artificial Intelligencecontext-engineeringretrievalArchitecture
Retrieval Needs Admission Control
Why reliable AI context depends on source authority, freshness, conflict handling, and deliberate exclusion—not merely finding semantically similar documents.
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Turbulent blue material passes through a precision industrial mold and emerges as exact illuminated forms ready for a downstream machine
Structured Outputs Are Protocol Boundaries
Why schemas, validation, repair, and semantic checks are the boundary that turns probabilistic model output into dependable system behavior.
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A vast mechanical observatory directs most work through efficient instruments while reserving one luminous resource-intensive engine for a difficult observation
AI Cost Is an Architecture Problem
Why token budgets, model choice, context assembly, retries, and verification should be designed as part of the system rather than optimized after the bill arrives.
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Rugged autonomous machines relay the same illuminated baton and field ledger across a stormy mountain route toward dawn
Durable Execution for Long-Running Agents
How checkpoints, leases, event history, reconciliation, and resumable steps let agent workflows survive the failures that real work inevitably encounters.
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A precision instrument maker fits one exact brass coupling between a luminous core and a consequential machine while unused tools hang in shadow
Tool Contracts Are More Important Than Tool Count
Why reliable agents need narrow semantics, explicit effects, typed failures, and verifiable results more than they need an enormous catalog of tools.
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