Agents need a process model
Without explicit state, objectives and decision boundaries, an agent may produce plausible actions without understanding where the case is in the workflow. Process state makes progress, ownership and exceptions visible.
Tools create both value and risk
Connecting an agent to email, databases, payment systems or public platforms turns language into action. Every tool therefore needs scoped permissions, validation, audit logs and reversible operations where possible.
Reliability is a system property
Prompt quality matters, but production reliability also depends on retrieval, rules, test suites, monitoring, fallbacks, human review and incident learning. An agent cannot compensate for a poorly governed system.
This article presents LaCitty’s operational framework. It does not claim verified client metrics unless explicitly stated.
Editorial basis and sources
This edition is based on LaCitty’s approved strategy, glossary, implementation architecture and responsible-AI principles. It contains no third-party quantitative claims. Verified case evidence and primary external sources will be cited when introduced.
- Principles
- Glossary
- Verified evidence status: awaiting approved quantitative case data.
