Posts about ai
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Taste Requires Stakes
AI can simulate aesthetic judgment with impressive fluency. What it cannot simulate is the consequence of being wrong.
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When to Build vs. When to Wait: The Recurrence Rule for AI Tooling
Most AI tooling debates are actually recurrence debates. The question isn't whether to build — it's how many times you'll need it.
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The AGI Question Nobody Is Asking Correctly
Sequoia says AGI is here. Dan Shipper says we're not there yet. They're both right — they're measuring different things. The question that actually matters is Sholto Douglas's "nines of reliability."
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Three Things AML AI Models Still Get Wrong in 2026
The models aren't the problem. The operating models are. Three structural failures in AML AI from years building these systems inside a bank.
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The AI Job Title Illusion
Two job ads. Same bank. Same week. Same title pattern. Completely different jobs. The AI hiring market has a labelling problem.
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Five Archetypes of AI-Era Business Defensibility
When AI models commoditize, the moat isn't the model. It's the infrastructure AI must flow through but can't replace. Five archetypes of what that looks like.
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Per-Token Pricing Is the 'Megapixels' of AI
We're optimising for the wrong number — and the history of consumer electronics suggests we'll figure this out eventually.
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The Real Reason Mox Won (and What It Means for AI Transformation)
Mox didn't win because they hired better designers. They won because they had no legacy to fight. The pattern applies directly to AI transformation.
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Don't Ask Your AI to Find Problems
Ask for bugs and you'll get bugs — whether they exist or not. Sycophancy is a design feature, and the fix isn't better prompting.
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What Makes a Great AI Consultant (Beyond Technical Skills)
The most dangerous person in an AI consulting engagement knows how the model works but has never sat in a credit committee.
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RAG for Compliance: The Hard Problem Is Chunking, Not Retrieval
Banks are deploying RAG for compliance and discovering the hard problem isn't retrieval. It's the pipeline before it.
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Banking DS to AI Consulting: What the Transition Actually Teaches You
The operational instincts built in production banking don't belong in the past. They're exactly what makes a practitioner-turned-consultant useful.
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Most Banks Don't Need an AI Strategy
The real project isn't artificial intelligence. It's the data infrastructure that AI exposes as broken.
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Why Every Tool Now Needs Two Faces - CLI for Humans, MCP for AI
We're building parallel interfaces for the same functionality because humans and AI agents parse the world through fundamentally different grammars. The future isn't human OR machine interfaces - it's both, simultaneously.
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I Don't Read Documentation Anymore
When AI can execute complex setups through conversation, learning shifts from reading documentation to observing execution.
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Claude Code, Analyze My Spending
When AI coding assistants become workflow orchestrators, the most powerful compiler processes reality, not code.
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Claude Code Mobile is Better Than Desktop
Walking meetings, voice input, and location changes unlock cognitive advantages desktop workflows can't access.
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How Claude Code Helps You Think
AI becomes most powerful when it helps you discover what your ideas actually are. Cognitive partnership over replacement.
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Claude Code is Not a Coding Agent
Why I use Claude Code for everything except coding: cognitive compiler for strategy, decisions, and understanding.
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Production AI vs Demos: The Intent Classification Reality Check
Building AI systems that work in the real world requires thinking beyond the demo. What actually matters when users depend on your models.
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Intelligence on Tap
When artificial intelligence becomes as mundane as running water, how does thinking itself change?
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What and Why Beat How
When implementation becomes automated, human intelligence reallocates to purpose and strategy. The cognitive hierarchy inverts.
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Everyone Becomes Middle Management
The automation tool that creates more coordination work
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AI Agents Need Passports, Not Passwords
The authentication systems we're building assume AI agents are tools. What happens when they become economic actors with their own accounts, credentials, and legal standing?