Some good best practices here on AI token cost optimization. None of these happens though without a deep understanding of the underlying work being done in a non-abstract way.
The ultimate implication is that a layer between the work itself and the underlying intelligence needs to deeply understand your workflows, context, and business process. Now, each individual company doing this on their own is unlikely to be effective at scale, so as a consequence, this is effectively the playbook for any applied AI company right now.
By evaling the models for the applied use cases, deeply understanding the domain, having tuned UX and features for the use case, and having the ability to support adoption and change (via FDEs), allow this layer to add a ton of value. And as a result, enterprises get higher ROI because you actually can get *more* intelligence per dollar by having optimal architecture and workflows.
There will be many horizontal and vertical versions of this approach. Huge opportunity right now.
This is what the market got wrong about AI eating enterprise software. Building good software in the past was very hard. Yes, AI has made that a bit easier, though it’s still hard to build something that’s got good taste, differentiated, high quality, secure, and so on.
But nevertheless, that’s only one component of building a platform that enterprises rely on. The plurality of costs in most enterprise software companies is actually on GTM, because at scale most enterprise software categories are tough to break into and need a heavy amount of consultative selling and support for implementation and integration of solutions.
AI hasn’t reduced the need for that, and in many cases requires it even more now, as landscapes get even more busy and complicated for buyers to navigate through. If you make one thing cheaper and more abundant (development of software) then the new problem of discoverability and market differentiation (GTM) becomes the hardest part.
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Is anybody else interested in a free private jet flight for 6 people to Augusta to go to the The 2026 Masters this weekend?
I'm still looking for 3-4 more people to join us. We can leave tomorrow, April 8 and will fly to Augusta where we'll stay through the final round and then fly home.
If interested please PM me. Preferably someone with a private jet and 6 tickets to the Masters, otherwise we can't go.
Every team at your company should be creating their own 'Team OS' in Claude Code on Github. Here's how:
1:45 - What is a Team OS
13:37 - Shared skills and commands
25:24 - Shared team automations
59:50 - The learning flywheel