Autonomous AI agent operations · 2026
AI agents that run your recurring work on a schedule
In productionscrocle.cloud/demo/multi-agentBuilder and operator
Business operations run on work nobody wants to own: monitoring systems, pulling data, routing enquiries, preparing records, following up. Teams either dedicate a person to it, 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.
The calls that shaped it
Each decision with the pressure that forced it and the price it keeps costing.
An agent platform that runs whole jobs
A chatbot answers a question and stops. The work here is multi-step: check a system, pull data, prepare a record, follow up, and every one of those steps needs a real tool call.
Built on Hermes, an open autonomous-agent platform, so it can plan, use tools, and finish multi-step jobs without a person driving each step.
The cost: The platform is the product. Every job depends on agent infrastructure being up and versioned, so an upgrade means a migration and a versioned rollout.
Real systems behind contracts
A prompt that describes a CRM is a suggestion. The agent has to read and write the actual system, and it has to fail visibly when that system rejects the request.
Every system the agent touches, a database, CRM, API, or inbox, is a defined tool server. The agent calls real tools through MCP contracts, so a job never depends on scraping ad-hoc from a prompt.
The cost: Every system the agent touches needs a tool server first, so onboarding a new integration means building and testing a tool server.
One model proxy with failover
Model vendors rate-limit, deprecate endpoints, and go down. A scheduled job that stops halfway leaves the record in an unknown state, and nobody is watching at 3am.
A single LLM proxy in front of the model vendors. If a model or key fails, the job keeps running on a healthy model and finishes even when one vendor is down.
The cost: One more piece of infrastructure to run and monitor, and a failover means the job can finish on a model it was never tested against.
Scheduled starts and visible failures
Work that only runs when someone remembers to press a button is not automated, and silent failure is the default failure mode of a script nobody watches.
Cron starts the work. Failures surface as alerts to your team, not as a forgotten log line.
The cost: An alert is only useful if a person reads it, so a failed run becomes somebody's task.
Work nobody wants to own 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 one person currently runs every week, 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 scheduled work handled without a person driving it.
- In production: scheduled agent jobs run without a person starting them.
- Every system the agent touches is a defined tool server, so a failed call surfaces as an error the job can act on.
- Model failover sits in one proxy, so a vendor outage does not stop a job mid-run.
- Failures reach a person as an alert.
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.