AI strategy decisions land on your desk — make them with context

Build or buy? Which models to bet on? How to restructure teams around AI? Get a weekly brief that gives you the strategic context to decide.

Curated from 20+ industry labs and publications

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Board and CEO want an AI strategy

You're expected to have a clear AI roadmap, but the landscape changes every month. You need a continuously updated view.

Build vs. buy is harder than ever

Open source models improve monthly, API prices keep dropping, and every vendor is adding AI. The calculus shifts constantly.

Competitive pressure to ship AI features

Your competitors are announcing AI capabilities. You need to know what's real, what's vaporware, and where to invest.

How it works

1

Tell us about yourself

Your role, industry, tools you use, and what you care about. Takes 2 minutes.

Sample context profile

RoleCTOs & VPs of Engineering
Topics
Build-vs-buy strategyAI infrastructure costsCompetitive AI movesLLM deployment patterns
2

AI curates your brief

Every week, AI reads hundreds of articles and picks what's relevant to your specific context.

Sample AI curation

Scanning 400+ articles weekly

From 20+ AI labs, publications, and research outlets

Matching your context

Filtering for CTOs & VPs of Engineering, Build-vs-buy strategy, AI infrastructure costs

Ranking by relevance

Surfacing only what matters to your role and priorities

3

Get it Sunday morning

A concise brief with what dropped, what's relevant to you, and what to try this week.

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Sample personalized newsletter

News Relevant to You

  • OpenAI's o1 Model Release Shifts Build-vs-Buy Calculus for Enterprise Reasoning Tasks

    OpenAI released o1, a reasoning-focused model that outperforms GPT-4 on complex problem-solving, forcing engineering leaders to reassess whether to build custom reasoning layers or adopt pre-built solutions. Early benchmarks show 92% improvement on AIME math problems, with pricing at $15/1M input tokens.

    Why this matters to you: This changes your build-vs-buy strategy calculations for reasoning-heavy features—understanding o1's cost-to-capability ratio is critical before greenlit any internal R&D on similar capabilities.

  • Google Introduces Gemini 2.0 with Native Multimodal Planning; Microsoft Expands Copilot Stack for Engineering Teams

    Google's Gemini 2.0 adds native multimodal planning abilities, while Microsoft deepens its Copilot offerings for software development with tighter GitHub integration. Both moves signal where the AI infrastructure wars are heading and what your competitors are already deploying.

    Why this matters to you: Your competitive AI moves tracking should include how these platform shifts affect your org design patterns—knowing what Gemini 2.0 enables helps you decide whether to standardize on one platform or multi-vendor approach.

What To Test This Week

  • Run a 2-week pilot comparing in-house fine-tuned model costs vs. OpenAI o1 API for your top 3 reasoning workflows

    Select your most expensive or frequent reasoning tasks (e.g., code review synthesis, architecture decision analysis, bug root-cause analysis), measure current latency and cost, then test o1's performance and per-request spend. Track total cost of ownership including prompt engineering time.

    Why this matters to you: This hands-on test directly informs your build-vs-buy strategy and AI infrastructure costs—you'll have real data to present to your board on whether to invest in internal capability or shift budget to API consumption.

AI news through the CTOs & VPs of Engineering lens

Executive-level synthesis

We distill technical AI developments into strategic implications — not implementation details, but decision context.

Competitive intelligence

What your peers and competitors are building, buying, and betting on — sourced from launches, partnerships, and hiring signals.

Investment-grade context

Model cost trends, capability trajectories, and vendor lock-in risks to inform your technical strategy.

What you get

Everything you need to stay ahead — completely free.

Personalized weekly brief

Filtered for your role, industry, and interests — not a generic roundup.

“What To Test” experiments

Actionable things you can try at work this week, tailored to your context.

“Filtered Out” transparency

See what we skipped and why, so you never miss something important.

Focus & avoid topics

Go deeper on what matters, skip what doesn’t. Your brief adapts to you.

Web dashboard

Browse all your past briefings, search across issues, and track trends.

Bookmark articles

Save articles for later and build your own reading list over time.

Topics we watch for CTOs & VPs of Engineering professionals

Strategic AI moves by major tech companies and competitorsBuild-vs-buy analysis for common AI capabilitiesModel cost and capability trend analysisOrg design patterns for AI-forward engineering teamsWeekly executive summary for board and leadership conversations

Get strategic AI intelligence

Set up your context profile in 2 minutes and get your first brief today and then each Sunday.