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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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Deep-dive operator posts

Agentic Patterns

I Built a Memory Engine in Claude Code. Then I Started Working in Codex.

11 min read

Ai Strategy

The Judgment Engine

6 min read

Agentic Patterns

I Built a Whole Pipeline to Stop Slop. It Was Pretending to Work.

12 min read

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Daily GTM Feed

Latest curated picks

GTM OpsThe GTMnow Newsletter (by GTMfund)

What the Top 1% of Sellers Do Differently

  • AI widens performance gaps instead of closing them—tools amplify existing judgment/taste in top performers while leaving middle 60% behind. The real lever is unglamorous: leadership point of view + shared language + process discipline BEFORE technology.
  • The people→process→technology order is inverted in most AI rushes. CROs spend millions on field tech (Salesforce, 76-page laminates) that reps never internalize because the foundational leadership and process work wasn't done first.
  • The 'give a shit factor' + subconscious play execution separate top 10% from everyone else. Best methodology isn't the most sophisticated—it's the one that actually gets used. Debating MEDDPICC variants optimizes the fringes while missing the core.
ai-sdr-backlashhuman-first-salesback-to-basics-gtm
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AI Developmentr/LocalLLaMA

Qwen 3.8 27B is a game changer.

  • Qwen 3.8 27B achieves parity with frontier models from 12 months ago, crossing critical threshold from 'toy' to production-viable for OCR and coding tasks
  • Economic inflection point: enterprise hardware investment now ROI-positive in <2 months vs. API costs, fundamentally altering vendor lock-in calculus
  • Geopolitical factor (China sanctions) paradoxically accelerating open-source model quality, creating competitive pressure on hyperscaler API pricing moats
ai-coding-toolsmarket-consolidationregulatory-impact
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Enterprise AIB2B Sales - Forrester

Too Many AI Use Cases, Too Little Impact

  • AI pilot proliferation is masking a prioritization crisis—organizations have ideas but lack frameworks to evaluate ROI
  • Evaluation lens should span business value, impact, feasibility, and strategic alignment (not just technical capability)
  • The bottleneck is not innovation capacity but decision discipline—which vendors and consultants can help operationalize
ai-roi-skepticismai-prioritization-framework
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GTM OpsHello Operator

The Phenomenology of Cold Outbound

  • Title suggests philosophical/theoretical framework for cold outbound (contrarian positioning)
  • a16z workshop context indicates institutional credibility and emerging GTM thinking
  • Content payload corrupted/incomplete - cannot extract substantive insights
back-to-basics-gtmhuman-first-sales
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