Anthropic has introduced Claude for Teachers, giving verified K-12 educators in the United States free access to premium Claude capabilities alongside a library of teaching skills and a link to curricula mapped against academic standards in all 50 states.

The offering connects to Learning Commons, which supplies academic standards and the underlying learning competencies beneath them, so lesson plans Claude drafts are aligned to teaching standards from the outset. It also draws on established resources including OpenSciEd and Illustrative Mathematics' IM v.360, and now links to a wider ecosystem of classroom tools such as Brisk Teaching, Canva Education, Diffit and MagicSchool.

Verified educators also get Claude Code and Cowork, letting Claude carry unattended tasks through to completion; Anthropic gives the example of a teacher handing off daily exit-ticket review so tomorrow's lesson plan adjusts automatically.

Data protections are built around K-12 privacy requirements, with a dedicated Data Processing Addendum designed for FERPA compliance and no use of shared data for model training. Anthropic says it is working with the American Federation of Teachers on shared privacy and safety standards for the sector.

Anthropic will pilot an evaluation of the programme in the Detroit Public Schools Community District, studying its effect on educator wellbeing and practice, work it says supports a wider partnership with the Gates Foundation to co-develop tools aimed at improving K-12 outcomes.


`AI Startups: Why Technical Excellence Without Business Focus Fails`
`AI Startups: Why Technical Excellence Without Business Focus Fails` How many technical teams at an early-stage AI startup can accurately describe their ideal customer? According to Alexander Berkovich, a principal engineer with close to 20 years across HP Research Labs, GE Healthcare, and Blackmagic Design: close to zero. That gap — between building impressive technology and building what clients actually need — is where AI startups quietly lose. Stewart Tinson talks to Alexander about the structural, cultural, and human factors that determine whether a technical team and its business leadership can function as one. Speaker: Alexander Berkovich, AI startup advisor and former principal engineer (HP Research Labs, GE Healthcare, Blackmagic Design, Akridata) You’ll learn: • Why hiring cheaper, junior technical staff to preserve runway slows development and increases churn • How documentation and process actively accelerate speed — not slow it down • Why “technically difficult” often means something entirely different to the CEO and CTO • How to structure POC feedback loops so client insight reaches the product roadmap • What a non-technical founder should actually look for when hiring a CTO • Why the business case — not the technology — must be your starting point Key topics: Tech-business gap • Startup hiring • Documentation & process • MVP scoping • CEO-CTO communication • ICP awareness • POC feedback • Founder-CTO relationship • AI differentiation • Team culture For CTOs, technical founders, and early-stage investors who need to understand why brilliant technology alone doesn’t build a company.
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