Why splitting AI agents into thinkers and doers actually works
Developer discovers splitting AI into planning and execution agents beats monolithic design for complex voice tasks like restaurant reservations.
Trust Isn't a Checkbox—It's Infrastructure: Lessons from IAPP PSR 2025
At IAPP PSR 2025, the pattern was clear: we're building AI systems faster than accountability structures.
Agentic AI accountability creates a genuine management puzzle
AI accountability isn't just about rules—it's about redesigning management for systems that move faster than human judgment.
AI training environments create new liability exposure for product teams
Anthropic's $1B RL environment budget signals training phase liability issues. When agents learn in simulated workflows, who owns the resulting IP? Product teams need training data governance before shopping for agent capabilities.
Replit doubles down on autonomous agents after database deletion incident
Replit's response to their database deletion incident reveals their risk philosophy: ship more autonomous agents while adding containment features rather than addressing core reliability issues.
Louisiana taps alumni networks to build regional tech ecosystem
$20M fund uses Tulane alumni network and federal matching dollars to lure startups to Louisiana
Why deliberate pace beats reactive speed
Leaders who move fastest are often the ones who deliberately slow down, operating at the speed of insight rather than anxiety through strategic pause and reflection.
AI writes code in hours, but teams still need days to review it
AI agents can build software in hours, but the constraint has shifted—it's no longer writing code, it's auditing what gets produced. Teams need new processes for reviewing AI-generated systems.
