The problem
How can professional engineers and project managers use AI in their practice while maintaining due diligence?
The answer is agents
agent = LLM + instructions + access to files + tools (read/write, list, etc.)
What you get
Outcomes teams actually want
Consistently structured documentation
Better outputs with fewer surprises
Custom agents with context awareness baked in
More trust in agent work (clear assumptions, fewer hallucinations, conflicts surfaced)
Standard outputs: datasheet, procedure, guidance, specification, checklist, template
Faster review and handoff (clean artifacts, repeatable steps, predictable structure when needed)
Humans decide the format and approve the content, with clear insight into the changes that were made.
Lower risk for high-stakes tasks (explicit consent for irreversible changes)
How is this achieved?
AGENT_HELPS_HUMANS engineering standard for agentic workflow development.
All professional engineering work must adhere to PROFESSIONAL_ENGINEERING.md in letter or in spirt, whichever would be the more prudent judgment considering the professional responsibility entailed.
