Field notes.
Real opinions about what AI is getting right and wrong for operators in 2026, written by us, in our own voice, not a content calendar. Plus the occasional teardown of something Izzy built and what it taught us.
Articles

How to Prove AI ROI in 6 Weeks (No Data Team Required)
Developers who were measurably 19% slower still believed AI sped them up 20% (METR). Here's a 6-week plan to prove AI ROI with a spreadsheet, not a data team.

AI Implementation Agencies in the EU: How to Evaluate Them (2026)
A buyer's framework to choose an EU AI agency: explore 5 service models, 10 evaluation criteria, actual costs, and the EU AI Act governance to demand.

Outcome-Based AI Pricing: Who Counts the Outcomes?
Intercom bills an AI outcome when the customer goes quiet after an answer. Zendesk refuses to. Same month, a 2.9x invoice spread. What to demand before you sign

How to Cut AI Coding Tool Costs by 30-60% Without Losing Quality
Overspending on AI coding tools? Learn how engineering teams slash Copilot, Cursor, and Claude Code costs by 30-60% without sacrificing code quality or output.

AI Pricing in 2026: Why Cost-Per-Outcome Beats Tokens
MIT found that 95% of enterprise AI pilots show no P&L impact. Here's the cost-per-outcome formula we use to catch that in week one, not quarter three.

The 4 AI Loops of Death That Kill EU Startups Before Series A
Spending €2k–€50k/month on LLMs? Discover the 4 hidden loops destroying startup margins and compliance readiness, and the 90-day plan to fix them before the EU AI Act hits.

Cutting LLM Costs by 85%: 5 Hidden Quality Risks to Avoid
Aggressive LLM cost optimization can silently destroy product quality. Learn the 5 hidden risks of model switching and how to cut costs without flying blind.

Falling Token Prices Won't Save the Budget You Now Own
AI spend grew 16x. If you inherited the AI mandate, here's why visibility, not price, is the fix.

AI Infrastructure Costs 2026: A Build vs. Buy Decision Guide
Stop optimizing blindly. Learn the true TCO of enterprise AI in 2026. We break down costs for vector DBs, tokens, and observability to help you avoid the Danger Zone.
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