You can reuse shared context — like your audience profile and brand voice — across multiple agents, but each agent still needs its own task-specific instructions that define its unique role and limits.
AI agents with clear, specific context give more direct and confident answers — agents with vague or missing context hedge more, qualify more, and sometimes fill gaps with plausible-sounding but inaccurate information.
Both Claude and GPT-4 use context windows, but Claude's is significantly larger and it handles long documents more reliably — GPT-4 tends to lose focus on instructions buried in long contexts more quickly than Claude does.
Overloading an agent's context with irrelevant or redundant information dilutes the signal of your key instructions — the agent has to work harder to identify what matters, and accuracy and focus both suffer.
Ask the agent to summarize its own instructions, describe who it is serving, and explain what it will and will not do — then compare the answers against what you intended to brief it on.
A campus AI agent's context should always include its role and boundaries, your audience profile, your program's core structure, your communication tone, and clear escalation rules for questions it cannot answer.
Keep your system prompt focused on identity, audience, job, constraints, and tone — then store detailed background in a knowledge base the agent retrieves on demand rather than loading everything upfront.
AI agents reset their context at the start of each new session — they have no memory of previous conversations by default, so small differences in how context is loaded produce different responses to the same question.
When an AI agent's context window fills up, the oldest content is dropped to make room for new content — the agent does not crash, but it loses access to earlier instructions and conversation history.
A good system prompt defines who the agent is, who it serves, what it does, what it must never do, and what tone and style it should use — all in plain language before any background information is added.