GTM OpsHello OperatorVictor's pick
Make Friends With Your Market
useful booth manning advice
Why I picked this
brilliant read
ai-policymarket-consolidationregulatory-impact
“The era of Aggregation Theory is behind us, and AI is again making technology expensive. This relation of increased cost from increased consumption is anti-internet era thinking.”
Key takeaways
- Reasoning models (o1) fundamentally break Aggregation Theory by reintroducing marginal costs - compute scales with usage, unlike internet-era products
- Hyperscalers' business models were built on zero marginal cost assumption; AI inference costs challenge this foundation requiring new economic models
- The 2010s internet era may be viewed as anomalous 'naive time' - technology returning to capital-intensive, high-marginal-cost paradigm of pre-internet era
Why this matters for operators: Companies building AI products need to rethink unit economics and business models fundamentally different from internet-era playbooks
I cover AI×GTM intelligence like this every Wednesday.
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Human-AI IntersectionTechCrunch AIVictor's pick
Meet Shapes, the app bringing humans and AI into the same group chats
this is just ...cool?
- Shapes is positioning as 'Discord with AI characters' - group chat with AI participants
- Represents emerging category of AI-as-peer vs AI-as-tool
- Insufficient detail to assess product-market fit or GTM relevance
ai-collaboration-toolsconversational-aihuman-ai-interaction
AI Developmentn8n Blog
Human-in-the-Loop vs. Human-on-the-Loop: When To Use Each System
- HITL (human-in-the-loop) requires human approval before AI executes critical actions - synchronous control pattern used for high-stakes decisions, compliance requirements, and low-confidence scenarios
- HOTL (human-on-the-loop) allows AI to execute autonomously while humans review results and adjust parameters - asynchronous pattern for scalable operations with exception-based oversight
- Framework applies across use cases: loan approvals, customer emails, social posts, fraud detection, and compliance workflows - choice depends on risk tolerance, regulatory requirements, and operational scale needs
automation-stacksai-policyhuman-first-sales
This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.