Why AI pilots fail: 95% deliver nothing — and where the returns actually are
Why AI pilots fail is now well documented. Where the returns actually sit, and how to pick a first project that proves itself inside one quarter.
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Notes from building Harness
How Harness works, what we're learning, and what we get wrong along the way.
Shadow AI risk: the tool your team already uses where you cannot see it
Shadow AI risk explained: why banning AI tools hides the problem instead of shrinking it, and the two questions that define your real exposure.
Time spent checking AI output: the saving that verification eats
Time spent checking AI output cancels 40% of the saving. What finished work has to mean, and how to make verification cheap instead of endless.
AI cost for small business: the four expenses nobody quotes
The real AI cost for small business is choosing, setting up, building trust and owning it. Budget all four honestly before you pay for any licence.
Prompt injection email attacks: when reading a message is the attack
A prompt injection email needs no click to exfiltrate your data. Why telling an assistant to behave is not a control, and what actually stops it.
AI agent guardrails: when an instruction is not a safeguard
AI agent guardrails fail when they live in the prompt. What a real constraint looks like, and the one question to ask any vendor before you trust it.
Which tasks to automate with AI first: repeatability times verifiability
Which tasks to automate with AI first, scored in ten minutes — plus where to put the human approval and what to measure before you build anything.
The AI audit trail that survives the question "what happened here?"
What an AI audit trail must record to answer questions six months later, why readable beats complete, and how it turns review into spot-checking.