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AI market news translated into workflow decisions, risk boundaries, and practical next steps for small businesses.

Alberta says Claude Code scanned 466 million lines of government code in 20 hours. The business lesson isn't the speed. It's the receipt that lets a human verify, test, approve, and revisit every fix before it ships.

Kimi K2.7 Code is available to Copilot Business and Enterprise, but GitHub ships the policy off by default. That is not a footnote. It is the review moment.

Rewst's new AI agent can turn a plain-language request into a runnable MSP automation. The safer question is whether the client can see the route before it touches QuickBooks.

Cursor just put a merge button in your pocket. Before Remote Control goes on for the whole team, decide what a phone is allowed to approve, review, and never touch alone.

A refusal can be a safety win or an operations outage, and it looks identical from the outside. AWS just shipped a way to selectively unteach Amazon Nova's over-deflection. The harder problem is proving, case by case, which refusals actually deserve it.

A customer says checkout is broken in Safari. The agent can rewrite the code in seconds, but it has been working from a screenshot and a guess. WebKit's new Safari MCP server changes what evidence an agent can bring back before you accept its fix.

AWS's new Bedrock phishing workflow points to a harder inbox problem: AI-written scams no longer announce themselves with typos. Before a polished vendor email changes a bank account, build a behavior-baseline card for the few requests that can hurt you.

A refund agent followed most of the process and skipped the gate that mattered. Google's ADK 2.0 points to a better fix: map each workflow step to code, model, person, or stop before the agent runs unattended.

A physician review, a payer callback, a flaky API: real AI workflows pause for hours or days. AWS's Lambda durable functions show why that pause needs a written contract, not a restart button, so completed agent work and real money stay safe while the workflow waits.

Google just made the Interactions API the primary way to reach Gemini models and agents. The useful move isn't rewriting everything. It's mapping which Gemini features are still one-shot calls and which have quietly turned into jobs with state, tools, and a clock running.

Google's preview of BigQuery's AI.AGG function lets one line of SQL summarize millions of rows in plain language, sitting in the same SELECT as a COUNT(*). One column is arithmetic. The other is a capped, batched, occasionally-NULL call to Gemini. Here's the provenance card to fill in before either one goes on a dashboard.

Twenty agents without a central gateway can need up to 190 point-to-point connections, per AWS's own math. Its new serverless A2A gateway is one answer. The access matrix underneath it is the artifact worth stealing.

Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.

Product notes, service updates, and BaristaLabs news that affect how small teams use AI at work.

Model concepts explained through thresholds, queues, and error costs that small teams can actually manage.

Plain-language guidance for owners and operators choosing one useful, reviewable AI workflow at a time.

Hands-on guides for approval policies, shadow weeks, agent receipts, and other AI workflow controls.