Single-agent Baseline
A narrowly instructed model with approved context and a small tool set, used as the measurable default before adding more loops or agents.
The single-agent baseline is the simplest credible design: one bounded outcome, relevant retrieval or context, a short tool list and clear success examples. It is the control condition against which added planners, workers and evaluators must earn their cost.
Use it for knowledge questions, extraction, classification, summarisation and one-step actions. Keep permissions, data access, validation and irreversible changes in deterministic code around it.
Still curious?
Ask Kuni, your AI learning companion, to explain this concept in the context of your own work.
AI can make mistakes. Check important facts, decisions and sources before relying on them.
START
Bounded roles
CONTROL
Visible hand-offs
OUTCOME
Human owner
AGENTS & WORKFLOWS
Go deeper
Related concepts
Seen in cases
Real-world examples where this concept appears in our case studies.
Ready to bring AI into your organization?
Talk to us about a guided adoption path for your team — from first use case to production.
Ask about this concept
Ask MAESTRO
Ask PRISM
Ask Kuni