{{first_name | Leader}}, welcome back.
AI development is entering a more serious phase. Less about raw capability, more about how systems think, behave, and affect people. Here are today’s updates:
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Anthropic releases Bloom for automated AI safety
OpenAI studies chain-of-thought monitorability
States regulate AI companions and emotional safety
Tools, resources, and a prompt to see what should be decided only once. ⬇️
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The future is agent-first, with developers moving faster by orchestrating many agents in parallel instead of relying on incremental autocomplete.
Anthropic released Bloom, an open-source framework that automates safety evaluations at scale. Instead of manual reviews, Bloom generates scenarios, tests model behavior, and scores risks like deception or misuse using repeatable metrics.
This makes safety less reactive. It lowers the cost of ongoing evaluations and helps teams move from one-off checks to continuous monitoring as models change.
OpenAI shared new research on whether a model’s chain of thought can actually be monitored for safety. After testing across multiple setups, the takeaway is simple: seeing how a model reasons is a much stronger signal for spotting risky behavior than just watching what it does.
This matters at a governance level. It shapes how agents are audited, how early risks are flagged, and where extra guardrails are needed before deploying reasoning-heavy systems into sensitive workflows.
New rules in New York and California are setting early boundaries around AI companions, focusing on transparency, emotional safety, and protections for vulnerable users. These regulations apply to AI designed to form ongoing personal relationships, not standard productivity tools.
This is an early warning sign. As AI becomes more persistent and personal, regulation will follow, shaping product design, compliance plans, and public trust expectations.
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Useful Resources
What is the biggest barrier to scaling AI across organizations today?
💰 Funding
Manifold raised $18M Series B to scale its data infrastructure platform.
Dazzle AI raised $8M Seed to expand its AI-driven automation capabilities.
💼 Roles in AI
🐦 Analyze 175M users
What Should Only Be Decided Once
When to use this?
When the same decisions keep resurfacing and draining leadership time.
You are my Chief of Staff.
Based on the update below, identify:
Decisions we keep revisiting that should be locked
Why they keep coming back (unclear criteria, missing owner, risk avoidance)
The single best decision to lock before year end
How to document and communicate it so it stays closed in Q1
Keep it practical and under 150 words.
Update: [paste recurring debates, approvals, or leadership discussions]Correct Input Style:
Update:
Vendor selection debated multiple times.
Discount approval thresholds unclear.
AI tool adoption decisions escalated often.
Marketing vs sales ownership revisited every quarter.
P.S. Get more such prompts in the Prompting Playbook (free for you)
Q. Which AI tool do you use most often?
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.