The Builder’s Log

What changes when the decision meets reality?

Notes from my AI explorations – building products, agentic systems and feedback loops.

5 articles

The Bottleneck was Never the Model

The companies pulling ahead are not waiting on a smarter model. They noticed the bottleneck was never the model — and that since they fixed it, it has moved twice more. Read more: The Bottleneck was Never the Model

Agentic Memory Taxonomy

How we structure context across short-term reasoning and long-term storage in agentic loops. Defining the boundaries between RAG, vector stores, and persistent world Read more: Agentic Memory Taxonomy

RLHF for Product Managers

Reinforcement Learning from Human Feedback isn't just a technical training phase; it's the new "User Research". How to structure human feedback loops to align agentic Read more: RLHF for Product Managers

The Latency Tax in Multi-Agent Systems

Every agent turn adds milliseconds. In a multi-agent system, this "Latency Tax" compounds, destroying user experience. How to build async pipelines that hide the wait. Read more: The Latency Tax in Multi-Agent Systems

A2UI Design Principles

Moving from responsive design to "Agent-to-User Interfaces" (A2UI). Why generative UIs must prioritize observability over aesthetic minimalism. Read more: A2UI Design Principles

Coming soon: Evals Are a Product Surface

An eval suite is where a team decides what “good” means. That decision belongs to product, not to a QA step at the end.

Coming soon: Designing the Handoff Between Agents and Humans

Where an agent should stop and a person should take over, and how to make that moment legible to both sides.

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