cto · generalist · scaling systems
17 posts tagged "Product & Leadership"
I’ve seen how voluntary AI ‘slowdowns’ look good on paper but, in practice, they spark antitrust risk and give competitors a hidden edge, a recipe for failure.
I show how we turned OpenAI’s new misalignment disclosure into a practical, quarterly red-team workflow that catches hidden bugs before they hurt users.
I’ve seen the AI-apocalypse hype scare investors and shape policy, and I’m sharing a framework founders can use to flip that fear into growth
I’ve seen AI’s boom turn into a brake, and I’m sharing how founders can turn safety limits into faster growth, lower costs, and a defensible product edge.
I built language models at a health-tech startup and saw sandbox escapes and regulatory bans. My experience shows a slow-down is vital for safe AI.
I unpacked OpenAI’s GPT-6 hype and saw benchmark scores inflated. In this post I explain why it matters for my roadmap and how to use the model’s strengths.
I guided my fintech team through a rollout of OpenAI’s Agents API, sharing guardrails, cost controls, and rapid steps that let us ship safe AI at scale.
When I discovered a rival could scrape my model’s weights with billions of prompts, I built a five-pillared defense that stopped the attack, saving our IP.
I unpack the hype around GPT-6 Astra’s 99.9% claim, show why benchmarks can mislead investors and founders, and share a three-step sanity check for new models.
I examine Nvidia’s $12.9 billion buy of Hugging Face and reveal three hidden shifts, distribution, compute economics, governance, that founder must anticipate.
When OpenAI cut off Cursor, my CI pipeline stopped. I audited every LLM, built a provider-agnostic gateway, and deployed a multi-provider stack kept us moving.
I saw OpenAI cut off Cursor’s model access and realized how fragile our AI stacks are. I’ll share a checklist that saved my team from a costly scramble.
I built a repeatable system that lets me master new frameworks in weeks. My playbook, orientation, AI-driven prompts, turns a learning curve into a sprint.
I turned endless post-mortems into a 90-minute, repeatable workflow so my engineering team captures incidents fast, learns quickly, and ships fixes that stick.
I turned the myth that AI needs a PhD team into a pocket-sized playbook I use with non-technical founders, letting us ship AI features in weeks and impact.
I thought deep expertise was the only path, but after years of writing code, securing systems, and aligning product, I realized breadth is the competitive moat.
When we hit ten people I felt safe, but hitting 100 turned into a train I couldn't stop. I built a playbook that tames the chaos, and you can start using it now.