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What If Claude Fable 5 Goes Away? Three Controllers Compared
Nine deliverables from three controllers, scored on one dataset — and where it led us.
Moving Enterprise AI from Pilot to Production: A Look at Cognizant's New EMEA AI Unit
Building an AI pilot and running AI as part of day-to-day operations are two different problems. The structure of Cognizant's new unit is one way to read the design work that sits between them.
Can Claude Opus 4.8 Run the Lane? Opus vs Fable as Controller
Swapping the controller to Opus: +15.79 on the merge step alone, reversed across the full lane.
When AI Makes Work Visible, Evaluation Design Decides Fairness
Unease about visibility doesn't come from AI adoption itself — it comes from loose evaluation design. Here is how we think about designing for fairness instead.
The FSB's Consultation on AI Governance: Human Oversight Takes More Than One Form
"Human oversight" is not one step. Reading the six forms in the FSB's consultation by when each one actually operates.
For Small Businesses, Generative AI Success Doesn't Start with Model Selection
Before comparing model performance, most small businesses have implementation design to sort out first.
Claude Code + Codex: Does Merging Beat the Best Solo Run?
Does a merged deliverable beat the best single one? The one case where it worked, and what it cost.
Designing Guardrails for AI Agents: Lessons from the OpenAI Presence Announcement
Using OpenAI's Presence announcement as a starting point, we look at how to design AI agent guardrails across scope, approval, and runtime enforcement—and what to settle before deployment.
AI Agent Comparison: Claude Code vs Codex on Real EC Data
The same e-commerce data split two AIs into opposite designs — and broke the scoring first.