WorkAI systemsClawClaw

AI systems / 2026

ClawClaw

An agentic marketing workspace that moves from niche research to campaigns, creative, and landing pages.

ClawClaw compresses creator research, market analysis, campaign generation, and website production into one operating loop.

ClawClaw marketing command center with an active agent workflow
The command center keeps agent status and campaign work in one operating view.
Role
Founder and full-stack AI product builder
Timeframe
2026
System
AI systems
  • OpenClaw
  • agents
  • Gemini
  • Imagen
  • campaign systems
  • full-stack

The system in context.

ClawClaw is a full-stack marketing system built around the OpenClaw agent. A research run examines creators and viral hooks, maps market segments, identifies content gaps, and returns a structured niche brief.

That brief becomes the shared input for campaign copy, hashtag bundles, visual creative, landing-page generation, and an AI-assisted campaign workspace. The design goal is continuity: research decisions remain visible as the work moves into production.

What shipped

  • Runs creator, hook, segment, and content-gap research as a structured agent workflow.
  • Carries one research brief into copy, visual, and landing-page generation.
  • Provides an AI chat surface for reviewing and iterating active campaigns.
  • Generated-site volume is retained as a founder-reported portfolio snapshot, not a live counter.

The numbers, with their meaning intact.

sites generated
300+

Founder-reported total at the time the preserved portfolio was captured.

research to production
1 loop

A single brief connects research, campaign assets, and landing-page generation.

product build
2026

The project is presented as a 2026 DIANNT studio product.

From signal to shipped system.

  1. Map the niche

    The agent collects creator patterns, hooks, segments, and gaps into a structured market brief.

  2. Turn evidence into a campaign

    Copy, hashtags, visual directions, and landing-page content share the same research context.

  3. Keep iteration inside the loop

    Campaign management and conversational revision preserve continuity after the first generation run.