Autonomous AI agent operations · 2026
AI agents that run your repetitive work on a schedule
In productionscrocle.cloud/demo/multi-agentBuilder and operator
Repetitive business work is real work: monitoring systems, pulling data, routing enquiries, preparing records, following up. Teams either assign someone to do it by hand, or rely on brittle scripts that fail silently when nobody is watching.
The constraint
The agent must run without a human in the loop: start on schedule, call real tools through defined contracts, fail over when a model is down, and alert the team when something needs a decision. Client data, prompts, and keys stay confidential and off the public page.
Built with
HermesMCPLiteLLMcron
How it works
Cron starts the agent. Hermes plans and runs the job. MCP tool servers are the real systems it touches. One LLM proxy fails over. Alerts surface failures.
- Cron
- Hermes
- MCP tools
- LLM proxy
- Model vendors
- Alert on failure
The calls that shaped it
Each decision with the pressure that forced it and the price it keeps costing.
A capable agent platform, not a chatbot
Built on Hermes, an open autonomous-agent platform, so it can plan, use tools, and run multi-step jobs end to end rather than answer in a chat window.
Real systems behind contracts
Every system the agent touches, a database, CRM, API, or inbox, is a defined tool server. The agent calls real tools through MCP contracts instead of scraping ad-hoc from a prompt.
One model proxy with failover
A single LLM proxy in front of the model vendors. If a model or key fails, the job keeps running on a healthy model rather than stopping with one vendor.
Scheduled starts and visible failures
Cron starts the work. Failures surface as alerts to your team, not as a forgotten log line.
Repetitive work costs businesses real hours. I build and operate autonomous AI agents that take it off your team’s plate: scheduled jobs, system monitoring, data pulls, enquiry routing, and preparation work, with a human in the loop only when something needs a decision.
You can see how a production agent stack is wired in the interactive walkthrough. If your business has a process someone currently runs by hand, that is the first candidate for an agent.
Where it stands
In production. This is the same class of autonomous agent I run for my own operations, and the pattern I build for businesses that want repetitive work handled on a schedule.
What was handed over
- How the agent is started, stopped, and updated
- Architecture notes and what is in or out of scope
- Which tools the agent can call and how they are secured
- Where secrets live. Keys are never in the repo or on this page.