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Insights on AI, machine learning, and technology strategy
Industry Insights·
Before an AI agent joins the board, write the work contract
A shared board is not enough. If AI agents can pick up real work, the ticket has to say what they may touch, what proof they owe, and when a human must step in.
6 min read
Industry Insights·
Put the agent firewall in observe mode before it blocks real work
AI agents that touch production need an external control point. The first rollout artifact is not a big governance policy. It is an observe-to-enforce plan.
8 min read
AI Development·
Rocket Close's Supercharger shows what production agents need before launch
Rocket Close's Supercharger case study is not just a mortgage AI story. It is a practical pattern for launching production agents in messy back-office workflows.
8 min read
AI Development·
A connector list is not a rollout plan for a local-first AI assistant
Local-first AI assistants are winning attention with broad connector lists. Before rollout, turn those connectors into a manifest with scope, owners, test cases, and removal rules.
6 min read
Industry Insights·
AI agent handoffs need a session manifest
Before teams clone, resume, or switch AI agent sessions between models, they need a compact manifest that says what travels with the work.
6 min read
Industry Insights·
Coding agents need dependency no-fly lists
When dependencies, test tools, and upstream repositories write rules for AI coding agents, teams need a visible no-fly list before agents change code.
8 min read
Industry Insights·
AI agents need a simulation harness before real-world work
Elodin's AI Grand Prix simulator shows what serious autonomy testing looks like: constrained worlds, real timing, telemetry, replay, and safe failure before production access.
8 min read
Small Business AI·
Gemini Just Moved Closer to the Storefront
Google's Gemini connection for Business Profile gives small businesses an assistant for reviews, posts, hours, menus, photos, and search insights. The smart move is to connect it with receipts and approvals before it edits the storefront.
7 min read
Industry Insights·
Your AI agent needs a spend circuit breaker
Security reviews and approval policies are necessary, but autonomous agents also need a separate spend circuit breaker before they touch metered systems.
7 min read
Technical Tutorials·
Run the security review before the AI workflow gets access
A practical technical tutorial for reviewing one AI workflow before it gets access to inboxes, CRM records, documents, vendor APIs, or model tools.
8 min read
Machine Learning·
When the score changes the queue: threshold tuning for AI approval workflows
Threshold tuning is not just a model dashboard choice. It changes review volume, customer-visible mistakes, and which AI actions still need human approval.
8 min read
Industry Insights·
Agent-written code needs a sandbox contract
Agent-written scripts are moving from demos into formulas, plugins, and workflow transformations. The next question is whether the business can name the sandbox around them.
6 min read
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AI Development
Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.
73
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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