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Automate everything — on Alpha

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.

Where to find partners

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.

GTM channels

Partnerships (BNI), Associations, Performance marketing & SEO. Landing pages for every campaign.

Content mechanics

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.

Resilience & security notes

Architect so the solution works when the gateway is down. Side note: pentesting and security review are now agent skills.

Loop engineering in Alpha

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).

Alpha should identify signals to compound

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.

Unit economics to know cold

GM, CAC, LTV. SMB value levers: price predictability via cost reduction + revenue increase.

Decision inputs framework: U-I-E-C

U = User Data (weight highest), I = Instinct, E = External noise, C = Competition move. Use this to decide what to build and do.