{{first_name | Leader}}, welcome back.
The AI race is no longer just about building the smartest model. It's also about making it practical enough for everyone else to use.
These are today's updates.
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Cut your AI bill by 30% without switching models
The open-weight model nobody saw coming
Alibaba fixes text in AI images
Tools, resources, and a prompt to create an executive AI opportunity map. ⬇️
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. Top News.
Most enterprise teams overpay for AI by routing every request to a frontier model when a cheaper one would have done the job. Ramp built an internal router to fix that three years ago, and the same system now supports 70,000 customers. This week they opened it up externally.
Ramp Router is an OpenAI-compatible endpoint that automatically routes each request to the lowest-cost approved model that still clears a defined quality bar. Ramp says it cuts LLM spend by more than 30%.
Moonshot AI released Kimi K3, trained on a mix of Nvidia H800 and Huawei hardware. The parameter count alone puts it in rare company among publicly available models. Deeper performance claims are still being verified, so hold off on conclusions until Moonshot releases a full technical report. The scale is real though, and that's already worth paying attention to.
Text inside AI-generated images has always looked wrong. Qwen-Image-3.0 is changing that conversation. Early examples circulating on X show unusually clean text placement, including an academic-paper-style output that's getting attention for its layout coherence. The model reportedly accepts prompts up to 4,500 tokens, which likely explains why dense instructions are producing cleaner results. Independent verification is still pending, but the early signal is strong enough to watch.
. Signals.
Tools
Links
. Poll.
. Market.
Funding
IREN raised $2.8B in AI cloud contracts as demand for AI infrastructure continues to surge.
Neo raised $100M to secure agentic AI software across enterprises with identity, governance, and security infrastructure.
Socials
. Prompt of the Day.
Executive AI Opportunity Map
When to use this?
When you need to identify where AI can create the biggest business impact before investing time, budget, or people.
You are an enterprise AI strategy consultant.
Based on the company information below, create an Executive AI Opportunity Map.
Evaluate every business function (Marketing, Sales, Customer Success, HR, Finance, Operations, IT/Product) and identify:
For each function:
The biggest repetitive workflows
The highest-value AI opportunity
Expected business impact (High / Medium / Low)
Estimated implementation effort (High / Medium / Low)
Potential risks or dependencies
The best first AI use case to pilot
Then summarize:
The Top 5 AI opportunities across the company
3 quick wins that could be implemented in under 30 days
3 strategic initiatives that require executive sponsorship
The recommended order of implementation
Present everything as a clean executive report with tables.P.S. Get more such prompts in the Prompting Playbook (free for you)
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.