Notes
Field notes, essays, and critical analyses on autonomous software, technical product strategy, and governance mechanics.
The Shift to Agentic Systems: Beyond Static Workflows
Static software maps user inputs directly to deterministic outputs. Machine learning added statistical classification. Autonomous agents represent a fundamental departure: a switch to runtime loop optimization where the system chooses its own path toward a high-level goal. This shifts product management from designing rigid interfaces to managing objective bounds and alignment functions.
The Fallacy of the Pure PM in the Era of Frontier Models
The division between business coordination and software implementation is dissolving. In AI product design, the data schema, model weight latency, and context engineering techniques *are* the core product trade-offs. To build products that survive production realities, product leaders must be capable of auditing system prompts, navigating state persistence, and designing system architectures directly.
Designing Upstream of Execution: The Core Philosophy of Beacon
Oversight and auditing fail when they are treated as downstream logs or reactive compliance checklists. True system integrity requires an active context and intelligence layer operating *upstream* of prompt execution. We must understand structural system state, historical prompts, and policy invariants before runtime execution if we want enterprise AI to be reliable.