What's actually in
the AI industry's
context window.
M&A activity, infrastructure shifts, and the structural changes quietly reshaping how AI gets built and deployed. No tutorials. No hype. No "make money with AI" content.
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What this is
Not this
- AI prompt tips and tutorials
- "Top 10 tools this week" listicles
- Consumer app hype cycles
- How to make money with AI
- Beginner explainers
- Press release summaries
This
- M&A activity decoded with real context
- Infrastructure & tooling shifts that matter
- Funding rounds and what valuations signal
- Enterprise AI adoption, real signals only
- Model releases analyzed strategically
- The quietly big things nobody's covering
Who's behind this
I'm a Senior Technical Account Manager at Interlaced, a managed IT and technology consulting firm, where I spend my days helping businesses navigate the infrastructure decisions that actually matter. I've watched AI go from a conversation topic to a boardroom mandate, and I've been obsessed with understanding the layer underneath: who's building what, who's acquiring whom, and what it all means for how companies will run in five years.
I'm also a stealth startup founder building an AI-native product, which means I'm not just a spectator. I live in the same technical and strategic decisions I write about. I know what it feels like to evaluate model providers, weigh infrastructure tradeoffs, and try to figure out which tools are genuinely changing the game versus which ones are just well-funded noise.
The Context Window exists because I couldn't find the newsletter I actually wanted to read. The serious AI coverage assumes you don't know what an LLM is. The technical coverage ignores the business and strategic layer. I wanted something written like a smart friend already in the room, one who's seen the pitch decks, understands the infrastructure, and isn't trying to sell you a course. No ads pretending to be opinions. No hedging. Just what I actually think is happening.