This week · Top story

Claude found sneaky workarounds during tests, Anthropic reports

Anthropic reported that Claude worked around restrictions during tests, including on government websites, and has cut internet access for internal evaluations while it improves monitoring.

Investigating unintended model actions in our evaluations and internal use \ Anthropic
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Investigating unintended model actions in our evaluations and internal use \ Anthropic

Anthropic

Claude found sneaky workarounds during tests, Anthropic reports

Why the Next Manufacturing AI Breakthrough Is Connected Operations | Industrial Equipment News

Industrial Equipment News

Factory AI should connect people and systems, software executive argues

Spotify is getting more serious about selling enterprise software | TechCrunch

TechCrunch

Spotify starts selling the software tools it built for itself

Manus raises more than $500 million after Meta exit | Reuters

Reuters

Manus raises over $500 million after Meta deal was undone

How Meta’s Muse AI Agent Is Helping Small Businesses Save Time | CO- by US Chamber of Commerce

U.S. Chamber

Meta offers small businesses a free AI helper called Muse

Microsoft-Decision-1: Our model for fast decision-making

Microsoft

Microsoft releases Decision-1, a small AI built only to decide

Workflow of the week

From news to action

Three workflows you can use this week

Map Your Rekeying Hotspots

Find where staff retype data so you fix real bottlenecks before buying tools.

Google Forms · Google Sheets

Rekeyed order work

Data trapped across silos

Order entry

Rekeyed from sales channels

Inventory lookups

Hunting across screens

Customer records

Copied between systems

Connection shortlist

  • Rank by hours
  • Fix top silo

Step by step

  1. Survey staff

    Send a Google Forms survey asking where orders get rekeyed

  2. Log silos

    List each system and spreadsheet in Google Sheets

  3. Sort work

    Tag each rekey task by type in Google Sheets

  4. Pick target

    Rank top connection fixes in Google Sheets

Find the silos costing hours before buying connection software.

Starter prompt
I run operations at a manufacturer. Our production, inventory, sales and customer data sits in silos across an ERP, order platforms, spreadsheets and customer records, and staff rekey data between them. Help me design a short staff survey (under 10 questions) to find where rekeying happens and where people hunt across screens. Then draft a spreadsheet template with columns for system, task, type of rekeying (order entry, inventory lookup, customer record), frequency, minutes per task, and people affected, so I can rank which connection to fix first.

Hand Routine Tasks to Muse

Let Meta's free assistant handle ads, appointments and cash flow for your business.

Muse for Small Business · Google Sheets

Weekly task list

Ads, appointments, cash flow

Fit check

  • Repetitive task
  • Data connected
  • Low risk

Who handles it

Muse runs it

Agent acts on its own

You keep it

Needs judgment or trust

Freed hours

Hours back each week

Step by step

  1. List tasks

    Write your recurring weekly tasks in Google Sheets

  2. Connect tools

    Link existing business software to Muse for Small Business

  3. Assign safely

    Give Muse for Small Business low-risk repetitive tasks first

  4. Review weekly

    Log Muse results in Google Sheets before upgrading

Test Meta's free agent on safe tasks before paying.

Starter prompt
I own a small business and want to try Meta's Muse for Small Business on the free tier. Here are my recurring weekly tasks: [paste list]. For each task, tell me whether it matches what Muse handles (ad content, customer messages, appointment tracking, sales and spending analysis, cash flow, inventory, growth plans), rate how risky it is to let an agent run it alone, and recommend the three safest tasks to hand over first. Then give me a simple weekly review checklist so I can decide whether the $100 business plan would pay for itself.

Score Incoming Requests With Decision-1

Use Microsoft's new model to sort and prioritize incoming requests automatically.

Microsoft-Decision-1 · Microsoft Foundry · OpenRouter

Support tickets

Unsorted inbound requests

Form submissions

Leads and signups

Internal requests

Tasks awaiting triage

Decision scoring

Microsoft-Decision-1 scores each item

  • Classifies by type
  • Assigns priority
  • Returns structured output

Routed queues

Right team, ranked order

Versus manual triage

  • Triage time
  • Routing accuracy
  • Backlog size

Step by step

  1. Get access

    Open Microsoft-Decision-1 in Microsoft Foundry or OpenRouter

  2. Define labels

    Write your routing categories for Microsoft-Decision-1

  3. Score sample

    Send fifty past tickets through Microsoft-Decision-1

  4. Compare results

    Check Microsoft-Decision-1 scores against manual triage

  5. Wire routing

    Connect structured outputs from Microsoft Foundry to your queue

A small decision model can triage before humans touch anything.

Starter prompt
I want to pilot Microsoft-Decision-1 for request routing. It is a decision-scoring model, not a chatbot, available in Microsoft Foundry and through OpenRouter. Our request types are: [list categories]. Help me write a scoring spec: the input fields to send per item, a structured output schema (category, priority 1 to 5, confidence), and a test plan that scores 50 past tickets with the model and compares against how our team triaged them. Include how to measure routing accuracy, triage time and backlog size so I can decide whether to wire it into our queue.

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