Intelligence

What I'm watching in AI×GTM

I review 50+ articles a day through the STEEPWORKS intelligence pipeline. The ones worth your time end up here — with my notes on why they matter and what patterns I'm seeing.

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Latest curated picks

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
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
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