Announcements·
Why we are turning AI news into workflow artifacts
A BaristaLabs field note on why more AI coverage should end as receipts, approval queues, workflow audits, security worksheets, launch packets, and review lanes.
4 min read
Blog
Page 31 of 67
All Articles
Insights on AI, machine learning, and technology strategy
AI Development·
Your AI Workflow Tests Should Try to Falsify the Promise
Stateful AI workflows fail around queues, retries, locks, ledgers, and approvals. Test the promise before production falsifies it for you.
7 min read
Industry Insights·
AI agents need a state ledger before they need more context
Production AI agent failures often start as messy workflow state. A compact state ledger tracks current facts, completed steps, evidence, owners, and stop conditions before an agent drifts.
8 min read
Industry Insights·
Claude Fable 5 turns model selection into routing policy
Anthropic's Fable 5 launch is not just a smarter-model story. Teams need routing rules for fallback, retention, cost, and long-horizon work.
6 min read
Industry Insights·
The AI personhood video is a signal register, not a panic plan
Peter Diamandis' Moonshots episode bundles global pause talk, recursive improvement, personhood, economic zones, and jobs. Operators need a way to sort the signals.
8 min read
Industry Insights·
Dapr Agents is a portability signal, not just another agent framework
Dapr Agents' AAIF proposal is useful because it treats agent infrastructure as an open layer. Use it to build an agent portability packet before betting on a framework.
7 min read
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
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AI Development
Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.
249
Announcements
Product notes, service updates, and BaristaLabs news that affect how small teams use AI at work.
9
Industry Insights
AI market news translated into workflow decisions, risk boundaries, and practical next steps for small businesses.
396
Machine Learning
Model concepts explained through thresholds, queues, and error costs that small teams can actually manage.
14
Small Business AI
Plain-language guidance for owners and operators choosing one useful, reviewable AI workflow at a time.
106
Technical Tutorials
Hands-on guides for approval policies, shadow weeks, agent receipts, and other AI workflow controls.
26