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Insights on AI, machine learning, and technology strategy
Announcements·
Field note: why BaristaLabs treats AI work like receipts, not magic
A field note on the BaristaLabs operating pattern behind agent receipts, approval queues, launch packets, verification, rollback, and evidence-first AI workflow launches.
6 min read
AI Development·
The useful part of PostHog's agent PR was the launch checklist
A PostHog production-readiness PR shows the controls teams should prove before agents get write access: isolation, events, approvals, auth, egress, and live tests.
7 min read
Industry Insights·
Local AI agents need endpoint telemetry now
When a local AI agent touches files, shells, credentials, and production-adjacent systems, teams need more than a chat transcript. They need an endpoint trail.
7 min read
AI Development·
AI code review bots need lanes before they need more tools
A public GitHub pull request shows what happens when AI reviewers, autofix tools, CI companions, and a human maintainer all use the same comment thread. The fix is not fewer tools. It is clearer lanes.
7 min read
Industry Insights·
AI Agent Capability Routing: Do not give every AI agent every tool
As agents gain MCP servers, browser access, local tool indexes, and workflow skills, the next operations problem is capability routing: which tools should load for this job, and which should stay out of reach?
7 min read
Industry Insights·
The first AI automation win may create a review queue
When AI starts drafting replies, comments, and fixes, the next bottleneck is no longer typing. It is deciding which machine observations deserve human attention.
6 min read
Industry Insights·
Your repo is part of the agent prompt now
For teams using AI coding agents, repository files are no longer just code. They are part prompt, part runtime, and part policy surface.
8 min read
Industry Insights·
Do not let AI assistant stickiness become your operating metric
Always-on AI assistants can feel useful while adding noise. Before rollout, define metrics that prove completed work improved, not just that employees keep coming back.
6 min read
Meta's Business Agent makes the social inbox operational
6 min read
Industry Insights·
AI agents are grading your product catalog now
A public audit of a Shopify catalog shows where ecommerce pages can look polished to humans but under-explain the product to AI shopping agents.
7 min read
Industry Insights·
Do not let AI erase the troubleshooting muscle
AI assistants can speed up support, IT, ops, and development work. They can also weaken diagnostic habits if teams use them as answer machines instead of teaching aids.
7 min read
AI Development·
JetBrains Mellum2 shows where agent costs are really going
JetBrains' Mellum2 release is a useful signal for teams building AI workflows: stop treating model choice as one default setting and start routing each step to the smallest model that can pass its receipt.
6 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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