Technical Tutorials·
The rollback path belongs in the AI workflow spec
A practical guide for writing the stop trigger, owner, receipt field, repair action, and re-enable rule before an AI workflow launches.
8 min read
Blog
Page 18 of 59
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Insights on AI, machine learning, and technology strategy
Before you install an MCP server, read its authority label
8 min read
Industry Insights·
Before an AI edits the wiki, run the round-trip test
A team wiki is not ready for AI editing when the agent can write it. It is ready when one messy page survives a full round-trip without anyone losing trust.
8 min read
AI Development·
Your coding agent needs a calorie label for context
A coding agent can look productive while paying, over and over, to send the same files back through the model. Before you optimize that, you have to be able to read it.
9 min read
Industry Insights·
Your AI agent needs a wake lease, not an all-night stimulant
When a coding agent keeps working after you walk away, wakefulness needs an owner, a reason, a time limit, a stop condition, and a heat cutoff.
8 min read
Industry Insights·
Your cloud health alerts need an action desk, not another dashboard
A health event is not done when it is summarized. It is done when it has an owner, a deadline, a blast radius, and a next action.
8 min read
Industry Insights·
Do not ask for a model. Ask for an inference lane.
Can we run this model? That question hides hardware class, serving engine, region, fallback provider, endpoint ownership, and a rollback plan. Fill an inference deployment ticket before you buy GPUs.
8 min read
Industry Insights·
Before you tune the support bot, cold-read the handoff
The deflection chart looks great. Then hand a human one escalated ticket exactly as the AI left it and start a two-minute clock. If they can't say what the customer asked, what the AI tried, what was promised, and who owns the next move, the handoff isn't done.
7 min read
AI Development·
The two-hour AI pull request needs a harness, not a hero reviewer
AI coding agents can generate a convincing pull request in two hours. The operator problem is review legibility: the missing receipt that makes approval safe.
7 min read
Industry Insights·
The voice agent sounds ready. The call workflow may not be.
At 7:42 a.m. the appointment-reminder agent is about to dial. The risky turn is not the model speaking. It is the moment a patient asks for a refill.
9 min read
Industry Insights·
Warnings are not confetti: build a warning budget before agents merge
Eight reviewer agents approved the merge and left a page full of yellow triangles. The button is live. The warnings are still alive. Here is the artifact for that gap.
8 min read
Industry Insights·
Your research agent leaks through the questions it asks
Companies watch what their agents read and write. A new benchmark says watch what they ask, too. The search trail is a data surface.
7 min read
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AI Development
Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.
171
Announcements
Product notes, service updates, and BaristaLabs news that affect how small teams use AI at work.
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Industry Insights
AI market news translated into workflow decisions, risk boundaries, and practical next steps for small businesses.
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Machine Learning
Model concepts explained through thresholds, queues, and error costs that small teams can actually manage.
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Small Business AI
Plain-language guidance for owners and operators choosing one useful, reviewable AI workflow at a time.
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Technical Tutorials
Hands-on guides for approval policies, shadow weeks, agent receipts, and other AI workflow controls.
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