How Founders Build Real AI Agents on OpenClaw

OpenClaw isn't just for developers anymore. Founders are building real businesses on it—agents that do actual work.

Three founders shared their approaches. The demos show what's possible when agents get real system access.

What They're Building

These founders built agents with real capabilities:

User outreach agents. Agents that authenticate to email systems, find leads, and send personalized outreach automatically.

Bug triage agents. Agents that connect to GitHub, classify issues, and route bugs to the right engineers.

Research agents. Scheduled agents that gather information and deliver reports without human intervention.

The key: these agents aren't sandboxed. They have real credentials to real systems.

Building agents with system access requires careful security:

Human-in-the-loop approvals. Important actions require human confirmation before execution.

Scoped email access. Agents get limited permissions—enough to send, not enough to read everything.

Credential management. Secure handling of API keys and authentication tokens.

These patterns let agents be powerful without being dangerous.

The economics are compelling:

Rapid product velocity. Startups can build agentic products in weeks, not months.

Cost reduction. Automating workflows that used to require headcount.

Competitive differentiation. Agents as features create moats that are hard to copy.

Vision-enabled agents represent the frontier:

Meta Ray-Bans combined with Gemini Live enable hands-free, context-aware automation.

The agent sees what you see. It understands context. It acts accordingly.

This opens possibilities that text-based agents can't match.

The OpenClaw ecosystem is maturing. It's no longer just for tinkerers—founders are building real businesses.

For startups, the message is clear: the tools exist to build agentic products. The question is what you'll build.

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