GTM OpsHello OperatorVictor's pick
Make Friends With Your Market
useful booth manning advice
Personal Productivity & AI-Augmented WorkLenny's Newsletter
An AI state of the union: We’ve passed the inflection point, dark factories are coming, and automation timelines | Simon Willison
Why I picked this
absolutely brilliant and insightful interview
ai-coding-toolsautomation-stacksai-policy
“Mid-career engineers (not juniors) are most at risk right now”
Key takeaways
- November 2025 marked inflection point where AI coding agents crossed from 'mostly works' to 'actually works' - specific timeline for capability shift
- Three agentic engineering patterns for daily use: red/green TDD, templates, and hoarding - actionable framework for practitioners
- Dark factory pattern emerging: AI does its own QA without human code review - next evolution beyond current copilot paradigm
- Mid-career engineers face highest displacement risk (not juniors as commonly assumed) - workforce planning insight
- Prompt injection remains unsolved security problem with 'lethal trifecta' risk of AI Challenger-level disaster - critical safety concern
- 95% of code now written from phone with mental exhaustion by 11am - productivity paradox of AI acceleration
- Pelican riding bicycle became unofficial AI model quality benchmark - emergent community testing standard
Why this matters for operators: Engineering leaders evaluating AI coding tools and workforce planning; productivity-focused operators
I cover AI×GTM intelligence like this every Wednesday.
Get STEEPWORKS WeeklyMore picks
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.