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Insights on AI, machine learning, and technology strategy
AI Development·
Your AI dashboard needs a quality lane, not just GPU charts
A green inference dashboard can still miss the failure that matters: the model is fast, available, and wrong. Production AI teams need to monitor both infrastructure quantity and output quality.
7 min read
AI Development·
Codex is moving AI coding agents into the customer feedback loop
Braintrust and Endava show a more useful pattern for AI coding agents: faster movement from customer request to preview branch, working spec, sandbox run, or reviewable delivery artifact.
8 min read
AI Development·
OpenAI's eval playbook makes the harness part of the result
A 92% success rate is not enough to approve an AI agent pilot. Teams need to know what tools, retries, prompts, budgets, safeguards, and receipts produced the score.
8 min read
Small Business AI·
The weekly workflow audit: how to find the first safe AI pilot
A practical weekly workflow audit helps small-business teams find the first AI pilot that is repeated, reviewable, reversible, and safe enough to learn from.
8 min read
AI Development·
Your AI Agent Needs a Bug Cemetery, Not Another Demo
AWS Bedrock AgentCore datasets point to a practical habit for reliable agents: turn production failures into versioned regression tests with locked inputs, expected tool calls, assertions, and CI gates.
7 min read
Industry Insights·
AML alert triage shows the real shape of enterprise AI automation
AWS and Snowflake's AML triage walkthrough shows a practical AI automation pattern: assemble evidence, produce a structured brief, and keep regulated decisions with humans.
6 min read
AI Development·
Enterprise IT agents just got a harder benchmark. The best models still missed half the incidents.
ITBench-AA shows why enterprise IT agents need scoped pilots, workflow receipts, eval datasets, approval gates, and human escalation before they touch production systems.
8 min read
Industry Insights·
Claude Opus 4.8 Makes Agent Honesty a Business Requirement
Claude Opus 4.8 is stronger, but the real business story is whether AI agents can admit uncertainty, catch mistakes, and preserve review points.
7 min read
Industry Insights·
Anthropic's Finance Agents Show Where Business AI Is Headed
Anthropic finance agents show a practical pattern for safer business AI: scoped templates, app context, data connectors, and human approval.
6 min read
Industry Insights·
OpenAI's new realtime voice models turn speech into a workflow interface
OpenAI's May 2026 realtime audio models make voice more useful for business workflows. Here is how to choose between live voice agents, live translation, and streaming transcription.
9 min read
AI Development·
Google's Agent Executor shows why AI agents need runtime infrastructure
Google's Agent Executor points to a practical shift: production AI agents need durable execution, isolation, state consistency, recovery, and audit trails.
7 min read
AI Development·
OpenAI's tax agents show why AI automation needs a feedback loop
OpenAI's Tax AI pilot with Codex is less a story about automated tax prep and more a lesson in production AI: agents improve when practitioner corrections become structured evidence, evals, and guarded releases.
8 min read
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AI Development
Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.
82
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.
363
Machine Learning
Model concepts explained through thresholds, queues, and error costs that small teams can actually manage.
11
Small Business AI
Plain-language guidance for owners and operators choosing one useful, reviewable AI workflow at a time.
85
Technical Tutorials
Hands-on guides for approval policies, shadow weeks, agent receipts, and other AI workflow controls.
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