No thought-leadership fluff. Working notes on AI execution, capital discipline, and what actually happens when you build companies for the long term.
AI agents are poised to revolutionize work, but realizing their potential demands a radical rethink of enterprise architecture and workflows. It's not just about automation; it's about augmentation.
“AI Agent” is becoming meaningless. Here’s a framework for identifying actual agents, focusing on autonomy, adaptability, and long-term memory.
AI is transforming supply chains, but the hype around end-to-end optimization and hyper-personalization is dangerously overblown. Focus on core bottlenecks, not chasing unicorns.
Cut through AI hype using a three-part framework: technical feasibility, economic viability, and strategic alignment. Identify real opportunities and avoid costly missteps.
Venture studios risk being left behind in the AI revolution if they only invest in AI startups. Building internal AI capabilities is now a strategic imperative.
Agent failures are no longer just technical incidents. A clear AI incident command model protects margin, customer trust, and delivery commitments when automation breaks.
Traditional security controls don't translate to LLM-powered applications. A new framework is needed to mitigate novel risks like prompt injection and data poisoning.
Portfolio theory, designed for liquid assets, struggles in venture studios. A better approach? Concentrated bets around synergistic themes. Here's why.
Replacing SaaS tools with AI agents sounds efficient, but the reality often reveals deep integration complexities and unexpected vulnerabilities.
The Amazon-OpenAI deal signals a shift: specialized cloud services for AI, built on data sovereignty, will eclipse the all-purpose model, reshaping venture capital investment strategies.
Siloed data hinders AI's potential. Democratizing access is key, but only with robust governance frameworks ensuring responsible use, privacy, and compliance.
Retailers chase shiny new tech while legacy systems decay. Technical debt isn't just a developer problem – it's a margin killer, impacting everything from inventory to customer service.