Editorial
Writing
Research-backed stories and practical guidance on AI adoption, tools, costs, and the work of putting them into production.
The AI Adoption Paradox in Financial Services: Why Most Deployments Fail After Launch
JPMorgan runs 200 AI use cases. Most regional banks run pilots that go nowhere. The difference isn't technical—it's knowing which problems AI actually solves, and building systems that work when the AI fails.
Dara Keating · October 18, 2025
The 30-Day AI Workflow: How to Prove Value Before You Scale
Most companies build ambitious AI systems and hope they work. Winners do the opposite: they automate one boring task, measure ruthlessly, and only scale when the signal is unmistakable.
Jules Marchetti · October 12, 2025
ChatGPT vs Claude: The Decision Nobody Gets Right
Most teams benchmark model capability and pick wrong. The real decision isn't which model is smarter—it's which one your team will actually use without friction.
Dara Keating · October 8, 2025
The AI Stack Every Lean SaaS Team Actually Needs in 2026
A Series A fintech founder shipped in six months what a Series B competitor promised in Q2. The difference wasn't talent or capital—it was how they stacked AI into existing workflows.
Dara Keating · October 1, 2025