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Trust

10 articles on Trust from the Yantrax lab.

A software box with its old workflow-automation label crossed out and a shiny AI AGENT sticker slapped on, while an inspection panel reveals the same fixed if-then rules inside.
StrategyDecision Making

Agent Washing: How to Tell a Real AI Agent From an Automation With a New Sticker

Every product renamed itself an agent this year, and the word stopped carrying information. A five-scenario quiz trains your eye, and five procurement questions expose what a vendor actually built, because the label decides the price, the failure modes, and the oversight you owe it.

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A dial with three zones: automate it on the left for low-stakes reversible rules, put a copilot on it in the middle where AI drafts and a person approves, and keep the decision human on the right where stakes are high and the action is hard to undo.
Decision MakingTrust

What You Should Refuse to Automate

The hype says automate everything. The discipline is knowing where the line goes. A task belongs to a person, not a model, when it is hard to undo, needs real judgment, or puts money, health, a job, or safety at stake. Grade any task on those three axes here, and see where the boundary actually falls.

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An employee badge for an AI agent stamped PROBATION, listing a scoped job title, a named manager, and limited access, beside a day-one paperwork checklist.
AdoptionWorkflow

Onboard It Like a Hire: The 30-60-90 Plan for Your First AI Agent

Nobody gives a new hire production access on day one, yet teams hand it to a week-old AI agent and get burned, or grant nothing and get nothing. The fix is the oldest tool in management: a scoped job, a named manager, probation, and promotions the agent has to earn.

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An AI inbox assistant summarizing a customer email, with a highlighted line inside the quoted email that tries to order the assistant to forward the thread elsewhere.
AI ProductTrust

Prompt Injection: The Security Hole Your New AI Feature Just Opened

The moment your AI feature reads text a stranger wrote, that text can try to give it orders. A five-scenario quiz teaches you to spot prompt injection, and the three design moves that contain it even when detection fails.

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A pull request summary showing lines shipped, PRs merged, and review time, with a glowing highlighted row below reading debt quietly compounding and a dollar sign where the cost should be.
StrategyAI Product

Vibe Coding's Bill Comes Due: Why AI-Generated Code Needs a Different Kind of Review

AI coding assistants made shipping code faster than ever, but review didn't get faster with it. A short scorecard shows whether what you just shipped is actually production-ready, or just working by accident.

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One official AI initiative box on an org chart, surrounded by many small scattered chat-window icons already in use, unconnected to it.
StrategyTrust

Shadow AI: The Adoption Decision Your Team Already Made For You

Your team already made the call on AI. Not you, not a committee, one paste into a personal chat window at a time, with zero visibility for you either way. A short exposure check shows where you actually stand, and the fix is smaller than a policy document.

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A chat bubble splits into two paths: one grounded and checked, one an AI hallucination marked with a warning.
AI ProductTrust

Spot the AI Hallucination: Can You Tell When It's Making It Up?

An interactive quiz. Judge 5 AI answers as grounded or hallucinated, learn why you often can't tell from the text, and what actually catches it.

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A quality scorecard reading a measured score against a baseline, showing how evals turn AI quality into a number you can track.
AI ProductStrategy

How Do You Know Your AI Works? A Plain Guide to Evals

AI that demos well can still be wrong in ways you never see. Evals are how you measure whether it actually works, before launch and after. A non-technical guide to doing it honestly.

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A secure boundary around your data, with AI working inside the boundary rather than sending data out.
StrategyTrust

Your Data Stays Yours: Adding AI Without Handing Over the Crown Jewels

The top reason teams stall on AI is fear of where their data goes. Here is how to add intelligence while your data stays in your environment, plus what to ask any AI vendor before you trust them.

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A spectrum from suggest to autonomous, with a human and AI handoff.
Human+AIWorkflow

Human-in-the-Loop, by Design, Building AI People Actually Trust

Autonomy is easy to demo and hard to ship. We design Human+AI workflows where the handoffs, guardrails, and overrides are first-class, so teams adopt them.

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