Plain-English AI explainers that break down confusing terms, model updates, and industry claims.
Diagnose the failure first: unclear instructions, missing knowledge, or inconsistent repeated behavior. Then test the least complex suitable fix.
Prompting vs RAG vs Fine-Tuning: How to Choose Read More »
Content Credentials provide signed, tamper-evident provenance. They can reveal history and edits, but they do not prove truth, ownership, or identity.
Can Content Credentials Prove an Image Is Real? Read More »
Check the exact system, intended use, evaluation setup, limitations, mitigations, update history, and what was not disclosed or tested.
How to Read AI Model Cards and System Cards Read More »
An AI score describes one evaluation. Check the task, data, setup, metric, uncertainty, contamination risk, and connection to your real work.
How to Read AI Benchmarks and Leaderboards Read More »
A useful AI pilot compares real work with a baseline, tests normal and edge cases, logs failures, and sets go, hold, or stop rules before rollout.
How to Run an AI Pilot: A Scorecard for Small Teams Read More »
Match human oversight to impact, reversibility, audience, data, and autonomy instead of adding a vague human-in-the-loop label.
When AI Needs a Human: A Simple Approval Matrix Read More »
Before paying for or trusting an AI vendor, collect dated evidence about data, dependencies, security, terms, support, changes, and offboarding.
AI Vendor Due Diligence: A Checklist for Small Teams Read More »
A large context window is capacity, not proof. Split long documents by meaning, preserve page references, collect evidence, and verify the final answer against the original.
How to Use AI With Long Documents Without Missing Important Details Read More »
AI cybersecurity threats are easier to understand when you group them into data, access, prompts, deployment, and monitoring problems.
AI Cybersecurity Threats in Plain English Read More »
Browser AI agents need guardrails because they can read web pages, follow instructions, and sometimes take actions in places where mistakes matter.
Browser AI Agents Need Guardrails Read More »
