OAuth retry loops are fixed in v2.1.123. Narrow bug, practical win.
Why it matters: less workflow drag
Decision trainer live
Three minutes. One better call. One concept.
AI tool radar
Make better calls on AI tools.
In three minutes: scan the calls, make one judgment yourself, and learn one technical idea you can reuse tomorrow.
No. 01
Today's 3 calls
Skim firstDo not trust model support on paper. Run latency, VRAM, streaming, and response-shape checks.
Why it matters: serving cost and control
Care only if the change touches your model, backend, hardware, or quantization path.
Why it matters: attention is leverage
Decision trainer
Make the call before you read ours.
Pick a raw signal, decide what you would do, then compare your call with the expert read. This is the part that makes you sharper.
0/0
Today's score
No. 02
One concept
Make it stickToday's concept
Retries are not automatically safe.
Plain English: if an AI workflow tries again after a timeout, that can be helpful. But if the action sends an invoice, payment, email, or database write, trying again can accidentally do it twice.
Engineer read: retryable tool calls need idempotency keys, bounded retries, attempt logs, and clear side-effect rules.
Guided check
Pick the missing safety check.
$ radar check retry-safety --action send_invoice
side_effect: creates invoice + sends email
retry_policy: retry once after timeout
question: what stops a duplicate invoice?
You leave with this
One decision, one skill, one sentence.
Test claims before adopting them.
Model support, tool calling, and memory claims are starting points, not proof.
Read small fixes as system signals.
A retry fix may reveal where the whole agent stack is heading.
Agents need recovery, not just autonomy.
That is the useful takeaway to bring into a product, engineering, or vendor conversation.