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Insights on AI, machine learning, and technology strategy
Industry Insights·
CAPTCHAs can still spot AI agents. Your browser automation plan needs a fallback.
Browser agents are useful when the task is bounded and the failure path is designed first. Treat third-party verification as a boundary, not a problem the agent will always solve.
5 min read
AI Development·
System prompts are not an agent control plane
AI agents need enforcement points before risky tool calls run. System prompts can guide behavior, but refunds, emails, account deletion, and customer work need runtime policy, approvals, logs, and receipts.
8 min read
AI Development·
The fast-food chatbot problem is a guardrail problem
Viral fast-food chatbot screenshots are funny because the failure is ordinary: the bot is supposed to help with lunch, but the model underneath still wants to be a general assistant.
7 min read
Industry Insights·
Make an agent autonomy map before your AI agents act
Gartner warns that one uniform AI agent governance policy will fail in production. Teams need to map what each agent can observe, advise, approve, or do autonomously before granting access.
7 min read
Industry Insights·
Agent analytics should answer whether the work got done
Customer-facing AI agents need more than traces and token charts. The useful dashboard starts with the job: whether the customer got helped, where the agent hit a wall, and when a human had to step in.
7 min read
Industry Insights·
The CAPTCHA problem is really a browser-agent readiness test
Browser agents can pass a demo and still fail in production when a vendor portal decides the process does not look human. Treat CAPTCHA and bot-detection friction as an operations readiness test before launch.
6 min read
Industry Insights·
Before agents act, write the envelope they must stay inside
A prompt is not an operating control. If an AI agent can call tools, see private data, send messages, update records, or approve work, the business needs a reviewable contract for what the agent may do.
7 min read
Industry Insights·
AWS AgentCore Gateway makes tool calls the new approval queue
Production agents need a gate between model intent and tool execution. AWS AgentCore Gateway interceptors point to the control layer businesses need before agents touch CRM records, tickets, data, customers, or money.
6 min read
AI Development·
Copilot cohorts make AI adoption a management problem, not a seat-count problem
GitHub's new Copilot cohort metrics give leaders a better way to ask whether AI is changing delivery work, not just whether licenses are enabled.
8 min read
AI Development·
Agent receipts: what to log before AI touches customer work
Before an AI agent sends a message, updates a record, publishes a page, or changes a CRM note, the team needs a receipt that shows what happened, why, who reviewed it, and how to roll it back.
7 min read
Technical Tutorials·
Run a shadow week before you automate the workflow
Before an AI workflow gets permission to act, run one shadow week: sample real inputs, draft without sending, compare against human decisions, record misses, and decide what can safely move from review to action.
8 min read
Machine Learning·
Precision, recall, and the approval queue
Precision and recall are not just model metrics. They tell you which AI mistakes reach customers, which safe work gets stuck in review, and where your approval threshold should move.
7 min read
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AI Development
Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.
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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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