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Good Culture is the Biggest Productivity Hack, Not AI (12 minute read)
Making employees worry about their jobs breaks a good culture as it totally decreases psychological safety.
Jun 12 | Blog
I Tried to Build a Context Layer for My Agent in a Weekend. Reader, I Did Not Build a Context Layer for My Agent in a Weekend.
A "simple" weekend project turns into real infrastructure, and why agent context deserves a boring, reliable foundation.
SponsoredAug 25 | Product
Autonomy and Innovation (10 minute read)
Incumbents will adopt AI cautiously because they have more to lose from mistakes. Startups can embrace autonomy more aggressively, giving them a natural advantage in turning AI into disruption.
Aug 24 | Data
Not every problem needs an AI agent (5 minute read)
Production AI systems work best when each component earns its complexity. Recommenders, moderation, warehouse queries, and search cold starts need different mixes of deterministic logic, classic ML, semantic layers, and LLMs. The strongest pattern is often hybrid: use agents for reasoning, but keep business logic, metrics, routing, and guardrails deterministic where possible.
Aug 24 | AI
The Evolution of the Agent Harness (10 minute read)
AI models significantly improved when both model capabilities and agent harnesses advanced in tandem. Initially, models like ChatGPT relied solely on next-token predictions, but newer harness systems allowed them to interact with digital environments. As models absorbed more harness capabilities, the focus shifted toward optimizing human attention, creating an interface that aids human interaction and decision-making without the model being overly dependent on the harness.







































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