{{first_name | Leader}}, welcome back. Today’s updates:
Capture workflows with a browser extension that generates visuals, voiceovers, and call-to-actions.*
Microsoft Debuts Two In-House AI Models for Copilot
Anthropic Lets Customers Opt-Out of Data Training
Website Builder Framer Hits $2B Valuation
Practical tools + must-read resources. Dive in ⬇️
IN PARTNERSHIP
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NEWS UPDATES
Microsoft Debuts Two In-House AI Models for Copilot
Microsoft unveiled MAI-Voice-1 and MAI-1-preview, its first homegrown models. MAI-Voice-1 can create a minute of natural speech in under a second on a single GPU and already powers Copilot Daily news briefs. MAI-1-preview, trained on 15,000 H100 GPUs, handles text instructions and is now live for public testing in Copilot Labs.
Microsoft is moving some consumer workloads off OpenAI, signaling a multi-model Copilot roadmap. More in-house models could lower Microsoft’s dependency costs and eventually shift pricing for enterprise SKUs. Ask your Copilot owner to track model attribution and benchmark response quality against GPT-4o before committing 2025 seat budgets.
Anthropic Lets Customers Opt-Out of Data Training
Starting 28 Sept 2025, Claude Free, Pro, and Max chats will be stored up to five years and used to train future models unless users actively opt out. That reverses Anthropic’s previous stance of deleting consumer data after 30 days and not using it for training. Enterprise and API customers stay exempt.
The default switch could expose your teams’ prompts or code snippets to model-training pipelines. Audit who is using personal Claude accounts, issue an opt-out guide before the deadline, and update vendor questionnaires to catch similar hidden changes. Budget time in Q4 for stricter data-sharing clauses across all AI suppliers.
Website Builder Framer Hits $2B Valuation
Framer closed a round led by Meritech and Atomico, bringing total funding to $165 million and valuing the company at $2 billion. The company now claims 500,000+ monthly active users and $50 million in ARR after adding an AI page-generation engine. New enterprise clients include Miro, Perplexity, Scale AI, and 40 percent of Y Combinator’s latest cohort.
AI-assisted web design is graduating from indie makers to Fortune-level budgets. Have marketing ops prototype a microsite in Framer and benchmark build time, on-brand control, and incremental ARR versus your current stack. If the pilot beats agency cost and speed, lock in those savings for 2025 campaigns.
BEST LINKS
Productivity Tools
🧑💻 Plus AI - Stop making slides the old way. Try the top-rated AI for PowerPoint and Google Slides*
🗂 Softr – Turn Google Sheets or Airtable into polished portals and internal tools without code.
🧑💼 Emma AI – Build role-specific AI assistants that pull from Slack, email, and CRMs in minutes.
🏦 FuturePlan – Design retirement plans that maximise tax savings for founders and senior execs.
Get featured tomorrow: How do you use AI for business/personally? Interesting stories will be shared with 100K curious readers.
Useful Resources
Bridge multiple apps by orchestrating workflows through new AI automation nodes (link)
Accelerate project execution with pre-built dashboards that map tasks and owners (link)
Automate spreadsheet workflows using AI scripts for data cleaning and reporting (link)
Create realistic marketing videos following a step-by-step AI production guide (link)
Download an AI project audit checklist to spot risks before launch (link)
STRATEGIC AI DECISION
Which news prompts the fastest internal policy update at your company?
MARKET
💰 Funding
Aurasell raised $30M seed funding to launch an AI-native CRM platform.
Nauta raised $7M seed funding to build AI-driven logistics orchestration.
💼 Who’s Hiring in AI
🐦 Supercharge old AI Models
This paper literally dropped NVIDIA’s secret to supercharging old AI models
— #Aadit Sheth (#@aaditsh)
7:01 PM • Aug 28, 2025
PROMPT TUTORIAL
Designing a Shippable Feature PRD Blueprint
You are a pro PRD writer tasked with turning [FEATURE_OPPORTUNITY] into a shippable spec for a [ORG_CONTEXT] serving [PRIMARY_USER_ARCHETYPE]. State the problem, who feels it, why now, and define v1 scope versus later, key constraints, and dependencies. Write 3–5 user stories with acceptance criteria, the single success metric, and the analytics events to track it. Add rollout plan (beta to GA), risks with mitigations, and the top three open questions to resolve this week.
Feature Opportunity: [Insert here]
Primary User: [Insert here]
Org Context: [Insert here]
P.S. You can still get the Prompting Playbook (free for you)
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.