GTM OpsHello OperatorVictor's pick
Make Friends With Your Market
useful booth manning advice
automation-stacksai-policyhuman-first-sales
“HITL is synchronous control where workflow stops at decision gates; HOTL is asynchronous where AI executes and humans review exceptions”
Key takeaways
- 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
Why this matters for operators: Framework for companies designing AI oversight in GTM workflows (email approval, content generation, lead scoring)
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
GTM OpsSaaStr — Jason Lemkin
I Need Agentic Email. Claude Said Try AgentMail For a New Project. So I Did. And Never Looked At Anything Else.
- AEO (AI Engine Optimization) is fundamentally different from SEO: LLMs return 1-3 recommendations vs Google's 10 blue links, creating winner-take-all dynamics where #1 position captures nearly all traffic
- AI search converts 5x higher than Google organic (14.2% vs 2.8%) because AI pre-filters and ranks - buyers arrive ready to purchase, not compare. Claude converts highest at 16.8% due to shortest recommendation lists
- Position bias in LLM recommendations is measurable and brutal - being the first recommendation matters exponentially more than in traditional search. 73% of B2B buyers now use AI in research, with 37.5% of ChatGPT usage being 'generative intent' (creating vendor comparisons, not searching)
aeo-emergenceai-search-behaviorwinner-take-all-dynamics
This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.