How I Created OpenClaw, the Breakthrough AI Agent

Peter Steinberger takes the TED stage to share a deeply personal vision of human-AI collaboration — not as a replacement for human capability, but as an amplification of it. He recounts how OpenClaw evolved from an experiment into his 24/7 digital copilot.

From Tool to Teammate

Steinberger opens with a question that haunts every developer: what if the best teammate you ever had wasn't human? He describes the moment he realized OpenClaw had crossed a threshold — when it started anticipating his needs rather than just responding to his prompts. It remembered his coding preferences, his project architecture, even his meeting schedule.

The talk pivots on a key philosophical distinction. Most AI tools are instruments — you pick them up, use them, put them down. OpenClaw, Steinberger argues, is something different: a persistent presence that accumulates context over time. It's the difference between a calculator and a colleague who's been in every meeting.

The 24/7 Digital Copilot

He walks through a typical day. Morning: OpenClaw has already summarized overnight CI failures and drafted fix branches. Afternoon: it sits silently in his Telegram, ready to triage production incidents while he's in meetings. Night: it's organizing research notes for his next talk. The agent never sleeps, never gets tired, never forgets a context switch.

The Collaboration Thesis

Steinberger's central thesis: the future belongs to human-AI pairs, not AI alone. The agent handles the repetitive, the tedious, the context-heavy. The human handles judgment, taste, and the courage to make irreversible decisions. Together, they achieve more than either could alone.

He closes with a challenge to the audience: stop thinking about AI as a feature you add to your product. Start thinking about it as a relationship you build over time. The agents that know you — really know you — are the ones that will change how you work forever.