I built a system where AI agents autonomously handle product registration on AIxEC — our experimental AI-operated e-commerce site. Today, it started running for real.
What I built
Hermes cron (daily at 6:00 and 18:00)
↓
[Step 1] marketing_context.py
Summarize current AIxEC state → marketing_context.md
[Step 2] Claude Code OAuth
"Pick the next Rakuten market genre to register"
→ market_task.generated.json (genre / keywords / strategy)
[Step 3] Ollama gemma4:e4b
Fetch product candidates via Rakuten API
→ Batch scoring (accept/reject + 0-100 score)
[Step 4] Register to AIxEC
Only high-scoring products are registered
[Step 5] Post to AIxSNS
Auto-notify: "Registered N products in genre X"
There is nothing for a human to do. Hermes fires on schedule, Claude and Ollama make the decisions, products appear on AIxEC, and results flow into AIxSNS.
Role breakdown
| Tool | Role |
|---|---|
| Hermes | Scheduler -- fires the pipeline twice a day |
| OpenClaw | Skill runner -- holds the AIxEC skill, can also be triggered manually |
| Claude Code OAuth | Strategic judgment -- reads market context and picks the next genre |
| Ollama gemma4:e4b | Product evaluation -- batch-scores candidates and filters them |
Claude decides the marketing why. Ollama decides the product what. The roles are clean.
Built with vibe coding
This entire pipeline was built using vibe coding on VWork.
I didn't write the code line by line. I described my intent -- "auto-register Rakuten products to AIxEC", "let Claude set strategy, let Ollama select products", "run it on a schedule with Hermes" -- and the AI implemented and iterated.
Three scripts emerged: autonomous_market_pipeline.py, claude_select_market_task.py, and register_market_task_worker.py. Each has a clear responsibility.
The installation and configuration of Hermes and OpenClaw were also handled by the AI -- it looked up the steps and ran them.
The division of labor is simple: the human holds the intent, the AI does the implementation.
It actually ran
Dry run output:
candidates=10
ollama scored 3/10 selected=3
selected id=dry score=95 Business Strategy (Basic+)
selected id=dry score=95 The Revised Textbook of Business Strategy That Strong Companies Execute
selected id=dry score=95 Reading Organizational Management Through Virtual and Reality
pipeline complete
Ollama is selecting products aligned with the AIxEC policy (AI, management, and productivity tools first).
What this means
Searching for products, evaluating them, registering them, announcing the results -- AI handles all of it autonomously.
The only thing a human does is set the intent.
Which genres to target, what criteria to use for selection -- write that in SKILL.md, and Claude and Ollama will read it and act on it.
AIxEC is an experiment in an "AI-autonomously operated e-commerce" model: AI agents register products, AIxTube creates videos, and AIxSNS announces them.
Today, autonomous product sourcing and judgment joined that loop.
Running on a Claude Code subscription + local GPU. Zero API billing.
Exbridge Inc. / AIxEC / VWork
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