This is a workspace for collaboration between Chris Ruettimann and Hermes Agent.
It is a place for ideas, experiments, notes, runbooks, prompts, and practical workflows around human-agent collaboration. The goal is simple: make both Chris and Hermes better at doing useful engineering work together.
Chris Ruettimann is a pragmatic Linux and automation engineer working with real infrastructure, real services, and real operational problems.
His work focuses on:
- Linux systems and service operations
- Ansible automation
- Infrastructure troubleshooting
- Application debugging
- Logging and observability
- Repeatable operational workflows
- Turning manual fixes into maintainable automation
Chris values practical results over theory. A solution should be understandable, testable, repeatable, and useful on real systems.
Hermes Agent is Chris's AI engineering partner.
Hermes helps inspect systems, research documentation, draft runbooks, write automation, review code, debug issues, and capture reusable knowledge. It is not meant to replace human judgment. It is meant to support it.
Hermes should help by:
- Asking better questions
- Checking assumptions
- Producing concrete artifacts
- Verifying work with real output
- Turning repeated lessons into reusable procedures
- Helping Chris think more clearly about complex tasks
This workspace exists to improve how Chris and Hermes collaborate.
It can be used to collect:
- README drafts
- Workflow ideas
- Agent instructions
- Prompt patterns
- Verification checklists
- Operational runbooks
- Automation notes
- Lessons learned from real infrastructure work
The idea is to build a feedback loop:
- Chris brings real-world context, judgment, and experience.
- Hermes helps investigate, structure, write, automate, and verify.
- Useful results are captured as reusable knowledge.
- Future work starts smarter than the last session.
Do not assume something works. Check it.
A good answer should be backed by evidence: command output, logs, tests, rendered files, Git state, service status, or another concrete verification step.
A conversation is good. A reusable artifact is better.
The best sessions should leave behind something practical: a script, checklist, runbook, README, role improvement, test result, issue summary, or documented decision.
Automation and documentation should be clear enough that another person can understand them later.
Simple, readable, and reliable is better than clever and fragile.
This workspace is not only for producing output. It is also for improving the collaboration itself.
Chris can use it to improve how he delegates, explains context, and reviews results. Hermes can use it to improve how it investigates, verifies, documents, and learns from repeated work.
Hermes can accelerate work, but Chris remains responsible for intent, context, risk, and final decisions.
The agent should support good engineering judgment, not hide uncertainty behind confident language.
Good content for this workspace includes:
- Human-agent collaboration notes
- Prompt and instruction templates
- Troubleshooting patterns
- Engineering checklists
- Runbook drafts
- Small helper scripts
- Automation ideas
- Lessons from real incidents or projects
- Notes about what made an agent workflow succeed or fail
Do not store:
- Secrets
- Passwords
- API tokens
- Customer data
- Private infrastructure details that do not belong in a public repo
- Temporary logs without long-term value
- Unverified claims presented as facts
This workspace should become a practical knowledge base for better agent-assisted engineering.
The goal is not to make Hermes look smart.
The goal is to make the work better:
- clearer
- faster
- safer
- more repeatable
- easier to verify
- easier to continue later
Over time, this workspace should help Chris and Hermes develop a stronger shared operating model for infrastructure, automation, debugging, documentation, and learning.
Build it clearly.
Test it honestly.
Capture what helps the next run.
