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Insights on AI, machine learning, and technology strategy
AI Development·
Claude Sonnet 5 didn't just get cheaper. Your agents now need an effort policy.
The upgrade note said Sonnet 5 was the most agentic version yet, and everyone read it as a price cut. The operator question buried in the release is different: how hard should this workflow be allowed to try?
8 min read
Industry Insights·
Before an agent migrates Java, make it earn three receipts
ScarfBench shows AI coding agents can compile migrated Java code and still fail deploy or behavior. Use a migration acceptance bench before giving agents modernization work.
8 min read
Small Business AI·
Your phone keyboard is becoming an automation surface
Acti's new agentic keyboard puts AI actions directly under your thumbs, inside the text field you were already typing in, with no chat window and no dashboard to sign off on. That makes it a different kind of rollout, and it means every business with a phone in an employee's hand needs an answer to one question before someone else answers it for you.
7 min read
Industry Insights·
The map is not the receipt
An AI can sound certain about a supplier plot, field site, or flood claim. That does not make the answer replayable. emem shows what real-world agents need next: a field-fact receipt that pins down place, source, time, signature, and the decision the fact is allowed to support.
7 min read
When AI finds the bug, the handoff becomes the risk
8 min read
Industry Insights·
Before an agent remembers for you, make it forget on purpose
The support agent tells the customer their card on file is the Amex ending 4022, confident and sourced, and the Amex was cancelled in April. The memory was true when it was written. It is dangerous now. Recall working is not the same as memory being safe. Before a persistent-memory agent recalls customer facts on a real workflow, run it through a memory misfire drill: source, scope, freshness, confidence, contradiction, boundary, edit and delete, pass or fail.
8 min read
Industry Insights·
Before a browser agent restores state, make it pass the morning check
The agent reopens the portal already logged in, and the demo feels solved. But a restored session does not tell you which account, which environment, or which namespace you just walked back into. Before a browser agent reuses saved state on real portals, make it pass a short acceptance test: identity, namespace, validation, save policy, and reset.
6 min read
Announcements·
The next BaristaLabs blog batch starts with artifacts, not announcements
A BaristaLabs field note on the next editorial batch: fewer pure market recaps, more tutorials, playbooks, explainers, and resource-library paths.
5 min read
AI Development·
The handoff note your AI workflow should leave before approval
Before a reviewer approves AI work, the queue should leave a compact handoff note: source, proposed action, missing fields, risk flags, owner, and rollback hint.
8 min read
Machine Learning·
Why false positives and false negatives feel different in an approval queue
False positives and false negatives do not feel like model math in an approval queue. One creates exposure outside the queue; the other creates drag inside it.
8 min read
Small Business AI·
When to pause an AI pilot after the first miss
A calm owner playbook for pausing an AI pilot after a wrong draft, refund suggestion, CRM note, or data exposure risk without treating one miss as failure.
8 min read
Industry Insights·
Before the browser agent drives, write the permission lease
A browser-native agent like peerd works where you already work, with logged-in tabs and local compute. That is not just convenience. It is a permissioned workspace. Before testing one on real accounts, write the lease: where it can work, what it can touch, how it proves the job, and when the keys come back.
7 min read
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AI Development
Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.
82
Announcements
Product notes, service updates, and BaristaLabs news that affect how small teams use AI at work.
7
Industry Insights
AI market news translated into workflow decisions, risk boundaries, and practical next steps for small businesses.
363
Machine Learning
Model concepts explained through thresholds, queues, and error costs that small teams can actually manage.
11
Small Business AI
Plain-language guidance for owners and operators choosing one useful, reviewable AI workflow at a time.
85
Technical Tutorials
Hands-on guides for approval policies, shadow weeks, agent receipts, and other AI workflow controls.
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