AI Agents
How Much Access Should an AI Agent Get?
Give an agent only the permissions its task needs: its own account, read-only where possible, narrow scopes, limits and fast revocation.
AI agents that plan and carry out multi-step work: how they differ from chatbots, what to delegate, how to supervise them, and the risks of handing over access.
AI Agents
Give an agent only the permissions its task needs: its own account, read-only where possible, narrow scopes, limits and fast revocation.
AI Agents
Prompt injection hides instructions in content an agent reads, steering it to act against you; limit its powers and require approval to contain the risk.
AI Agents
Supervise agents with approval checkpoints on costly steps, full action logs, regular sample reviews, automatic limits and a ready pause button.
AI Agents
Agents fail through compounding errors, loops, misread goals, broken inputs and runaway costs; clear briefs, limits and mid-task checks catch most of it.
AI Agents
Pilot one low-risk repetitive task for six to eight weeks, with narrow permissions, full approval at first and baseline numbers to judge the result.
AI Agents
When an agent errs, the deploying business and its named owner remain responsible; prepare with clear roles, logs, an incident plan and clear vendor terms.
AI Agents
A chatbot replies with text; an AI agent plans, uses tools, checks results and acts in a loop until the goal is reached.
AI Agents
Start agents on repetitive, rule-based tasks with results that are easy to check and undo; keep money, promises, deletions and judgements about people human.
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