OpenClaw & agents that do the grind,
so you can craft with taste
AI that removes the grind isn't replacing you. It's raising the bar for what you can create.

Thanks for joining the talk
This page is your takeaway from the session: resources, next steps, and how to connect with us as you build out your AI practice.
From the session
The core ideas behind building an AI-augmented PM workflow. Not just one-off prompts, but agents that compound over time.
01
Software that builds software. AI agents don't just automate tasks, they create new tools on the fly. What used to take 4 to 5 hours of competitive research per week becomes a 15-minute automated briefing, sharper, faster, and always current.
02
Specialization is the unlock. Research, operations, outreach: each agent with defined roles and responsibilities, just like a real team. When agents collaborate across workflows, the leverage compounds.
03
Open-source AI infrastructure that starts with builders and becomes the industry standard. The adoption curve is accelerating. Organizations that build internal AI operating layers now will own their category.
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Your speaker

Managing Partner, WNCP AI • Adjunct Faculty, University of Maryland
Damien builds AI systems for real organizational work, not demos, but operating layers. At WNCP AI he leads strategy and product consulting for VC-backed founders and enterprise operators navigating the agent era. At UMD he teaches product leaders how to build and work with AI.
Connect on LinkedInBoutique AI strategy and product consulting for VC-backed founders, Series B+ operators, and enterprise leaders. We help organizations build their AI operating layer, from agent architecture to full workflow automation.
Our approach combines deep product management expertise with hands-on AI systems engineering. We don't just advise. We build alongside your team, delivering agents, workflows, and operating infrastructure that compounds over time.