Automate every f***ing thing; it should run on Alpha. If you can do it for Aptos, why not for yourself — including demo videos. Automate support. Automate the whole business as a system, like McDonald's did. AI-in-a-box / AI Council concepts parked — evaluate against the $100M path.
Implementation players in your space, resellers, industry associations (lots of KOLs), big-company startup communities (e.g. Salesforce), mid-to-large enterprise partnership teams, and customers themselves become partners.
Different people to different audiences. Track LinkedIn KPIs. Test timing and formats. Posts must be creative. Comments are mandatory for engagement. Memes work — figure out how Claude/HeyGen can produce them. HeyGen + Claude to generate all training videos. Talk about everything Alpha does — without naming Alpha. Anu content idea: 'Are you an SMB? Here's what AI engineering actually costs — and how to control it.'
Flagship POV: agent costs cannot be controlled just by moving to open models
POV structure: strong opinion → 'agent costs are going out of control' → you need a solution where: (1) limit budget per agent, (2) make token costs cheaper without compromising quality, (3) build a harness that achieves this. Content flow: Buyer's Eyes → Buyer's Business (research heavily) → Emotion → System.
Appeared twice in AIBoomi notes — clearly important. Define concretely: agents should think on their own; shadow-run tests after improvements; bring forward the reasoning in Alpha (make thinking visible).
The compounding moat, productized. Related: 48hr cliff equated to Arena for PLG — all Arena users are not customers; identify the signals that separate customers from tourists.