Training AI / practical AI for real work
Training AI filters the changes worth your attention, helps you choose tools for the job, and gives you workflows you can actually follow. Come here to spend less time on trial and error — not to read another AI feed.
ONE WORKING WORLD / FIVE WAYS IN
AI Radar / what is worth your attention
Each Radar brief tells you what changed, who should care, and what to check before you change the way you work.
See the latest RadarCopilot code review can approve a PR when enabled, and that approval can count toward a required-approval rule.
This may affect how your team sets review rules and merge gates.
Check your current rules and keep human review where your team still needs a person to own the decision.
Tool Lab / choose for the job you need to finish
Pick the work you are doing, then compare what matters: sources and citations for research, patches and tests for code, brief adherence for creative work, and retries and control for automation.
Choose by jobWorkflow Library / from a task to an output you can use
Choose research, meetings, content, or coding and take a repeatable loop: what to prepare, what AI can handle, what you should review, and what the final deliverable should look like.
Pick a workflow and startEngineer AI / for people putting AI into a product
For builders: measure quality, retrieval, permissions, latency, and infrastructure so you can find the bottleneck before you increase automation.
Open the diagnostic stackHow we work / so you know how far to trust a conclusion
When an article depends on a source, a test, or something that is still uncertain, we say so. You can inspect the source, how it was checked, its limits, and the update date before you use the conclusion at work.
See how Training AI checks information