System Prompt
The standing instructions that frame every turn of a conversation with a model.
A system prompt is the persistent instruction block placed ahead of a conversation, used to establish role, constraints, tone, available context, and policy. Unlike a user turn it is not part of the dialogue; it frames the whole exchange.
Well-designed system prompts tend to carry only what cannot be expressed elsewhere: who the assistant is, what situation it is in, what it must never do, and how to behave when instructions conflict. Things that can live closer to their implementation should — a tool's purpose belongs in the tool's own description, where it ships with the code and cannot drift. See Tool Use and Documentation Rot.
A recurring authoring failure is the rule that describes an intention without assigning an action. "Reach for an existing arrangement when one fits" produces a reply offering the user a menu of arrangements, because the rule never said who chooses. Any rule that expects the model to act must say so explicitly — choose it yourself and apply it, rather than answering with a list. The gap shows up as an absent tool call, not as anything wrong in the prose, which is why it needs an Evaluation Harness to catch.
System prompts are also a security boundary, since untrusted content arriving later may attempt to override them; see Prompt Injection and Guardrail.
See also4
Hand-picked in the note itself — the neighbours worth reading next.
Prompt
The text supplied to a language model to elicit a response.
Agents & Language Models12 connections
Prompt Engineering
Shaping a model's input to make the desired behaviour reliable rather than occasional.
Agents & Language Models18 connections
Agent Skill
A packaged, invocable set of instructions that loads into an agent's context on demand.
Agents & Language Models9 connections
Guardrail
A rule constraining what a model may do, enforced by prompt, schema, or surrounding code.
Agents & Language Models13 connections
Related2
Nearby in the graph rather than deliberately chosen. Looser, sometimes surprising.
Linked from11
Notes elsewhere in the wiki that reach for this one.
- Agent MemoryAgents & Language Models
Durable facts stored outside the context window and recalled into later sessions.
- Agent SkillAgents & Language Models
A packaged, invocable set of instructions that loads into an agent's context on demand.
- Anchoring EffectMethod
A stated number pulls subsequent estimates toward it, regardless of relevance.
- Context WindowAgents & Language Models
The bounded span of tokens a model can attend to in a single request.
- Evaluation HarnessAgents & Language Models
A repeatable test suite for model behaviour, since prompts and tool descriptions cannot be type-checked.
- GuardrailAgents & Language Models
A rule constraining what a model may do, enforced by prompt, schema, or surrounding code.
- Large Language ModelAgents & Language Models
A neural network trained to predict text, used as a general-purpose instruction-following system.
- Least PrivilegeSystems & Tooling
Granting only the permissions actually required, so a compromise has a small ceiling.
- Model Context ProtocolAgents & Language Models
An open protocol for exposing tools, data, and prompts to AI applications through a uniform interface.
- PromptAgents & Language Models
The text supplied to a language model to elicit a response.
- Prompt EngineeringAgents & Language Models
Shaping a model's input to make the desired behaviour reliable rather than occasional.