AIStrategy
What stays human, what scales with AIThe strongest programs start with workflow reality, not tool hype. We map where AI helps and where human judgment must remain in control.
Above Average AI for the Average Joe
Self-taught AI builder based in research. I help teams and managers adopt AI through practical workflows, thoughtful change management, and upskilling that sticks.
From frontline workflows to leadership decisions, practical AI progress comes from seeing through the right lens at the right moment.
The strongest programs start with workflow reality, not tool hype. We map where AI helps and where human judgment must remain in control.
Adoption fails when teams feel rushed or replaced. Lasting change comes from clear communication, role clarity, and practical rollouts people trust.
Leaders do not need to become engineers. They need better questions, better operating rhythm, and better capability building across teams.
Early, practical execution from real work. Built fast, tested in live workflows, and continuously improved.
Built and launched two websites in 48 hours with AI-assisted workflows.
Built multiple agent-based automations for practical day-to-day execution.
Designed and delivered an AI-enabled college course for applied learning.
Self-taught AI builder actively applying tools inside real professional work.
Automated daily refresh from Web, X, and Reddit, so the page stays current with meaningful signals while you sleep.
Last updated: Apr 17, 2026, 8:53 AM
Industry and company signals
Adoption is shifting from pilots to operational discipline. Map the workflow impact and decide one concrete next experiment.
Source link →Adoption is shifting from pilots to operational discipline. Map the workflow impact and decide one concrete next experiment.
Source link →Adoption is shifting from pilots to operational discipline. Map the workflow impact and decide one concrete next experiment.
Source link →Operator and builder discourse
The signal points to execution becoming the real differentiator. Pressure-test this with your own workflow reality before scaling.
Source link →Capability is moving quickly, so evaluation standards matter more than hype. Pressure-test this with your own workflow reality before scaling.
Source link →Capability is moving quickly, so evaluation standards matter more than hype. Pressure-test this with your own workflow reality before scaling.
Source link →Ground-level community pain points
The signal points to execution becoming the real differentiator. Treat this as frontline feedback and adjust enablement where teams are stuck.
Source link →The signal points to execution becoming the real differentiator. Treat this as frontline feedback and adjust enablement where teams are stuck.
Source link →⚡ Meet Qwen3.6-35B-A3B:Now Open-Source!🚀🚀 A sparse MoE model, 35B total params, 3B active. Apache 2.0 license. 🔥 Agentic coding on par with models 10x its active size 📷 Stro. The signal points to execution becoming the real differentiator. Treat this as frontline feedback and adjust enablement where teams are stuck.
Source link →If you are a leader and you want to help your team apply AI in practical, people-first ways, let's talk.
Start a ConversationShare what you are trying to improve with AI and people. I will follow up directly to see if there is a practical fit.