Blog
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Insights on AI, machine learning, and technology strategy
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
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
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
Explore by Topic
Dive deeper into the subjects that matter to you
AI Development
Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.
72
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.
336
Machine Learning
Model concepts explained through thresholds, queues, and error costs that small teams can actually manage.
10
Small Business AI
Plain-language guidance for owners and operators choosing one useful, reviewable AI workflow at a time.
81
Technical Tutorials
Hands-on guides for approval policies, shadow weeks, agent receipts, and other AI workflow controls.
10