18h ago · 14 min read · Published: June 2026 | Reading Time: 12 minutes TL;DR: AI agents don't just follow instructions — they reason, plan, act, and learn. In this post, I walk you through exactly how AI agents make decisio
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May 11 · 8 min read · Picture this: It's 2:47 AM in Austin, Texas. A SaaS founder is asleep. Her startup's MRR just crossed $400K. And while she dreams, three AI agents are working the late shift. One is qualifying a lead from Singapore who filled out a demo form 12 minut...
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May 7 · 8 min read · Picture this. It's a Tuesday morning at a 40-person SaaS company. The head of customer success is drowning in onboarding tickets. The SDR team is copy-pasting the same five emails into HubSpot. Finance just spent four hours reconciling Stripe payouts...
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May 3 · 12 min read · TL;DR: A practical incident response playbook for AI-specific failures: hallucinations, data leaks, agent overreach, and production breaks from AI tooling. Why this matters: every engineering leader, CTO, and head of engineering running coding agent...
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May 3 · 11 min read · TL;DR: Seven security controls every CTO should verify before expanding coding agent access: access model, secrets, review gates, sandboxing, and audit trail. Why this matters: a coding agent rolled out without controls turns every new engineer into...
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May 3 · 10 min read · TL;DR: What an effective AI acceptable use policy covers: data classification, model tiers, prompt hygiene, and escalation triggers for engineering organisations. Why this matters: an AI acceptable use policy that engineers actually reference is the...
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May 3 · 12 min read · TL;DR: Detect unsanctioned AI tool usage in engineering teams, classify the risk, and decide what to govern, adopt, or block as a CTO or engineering leader. Why this matters: shadow AI is the use of unapproved AI tools (personal API keys, browser-ba...
Join discussionMay 3 · 13 min read · TL;DR: A practical framework for CTOs building an AI security posture: identity, permissions, data boundaries, review gates, and incident readiness. Why this matters: every engineering organisation that adopts coding agents, LLM APIs, and managed ag...
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May 2 · 7 min read · She stared at the Kanban board like it had personally betrayed her. Red cards. Yellow cards. A long, unbroken column labeled “AI-Handled” that was supposed to be empty by morning. It was 3:11 AM. The board was not empty. It was mocking her. Somewhere...
Join discussionApr 11 · 13 min read · TL;DR: AI pilots without governance create compliance problems. Four gates to build into your SME pilot design without significant overhead in 2026. Why this matters: an internal AI pilot that runs for six weeks, produces useful results, and then le...
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