AI agent demos are easier than real work systems
The post says first demos of AI agents often seem to work well. A team can connect a model to tools, write a prompt, and make it research, call an API, summarize results, or take a simple action. The post says real work brings harder questions about permission, data access, tool choice, errors, replaying a run, and human approval.
Key points
- A simple demo can work with a model, tools, and a prompt.
- Real workflows need clear permission before actions happen.
- Teams need to know what data the agent can access.
- Tool errors need handling, not just another model response.
- Risky actions like writing to a CRM or sending email may need human approval.
Quick term guide
- AI agents
- AI agents are AI tools that can carry out steps toward a goal, not just answer once.
- permission
- The allowed range of actions a person or system can take.
- business
- An activity where you provide value to others in exchange for money.
- tool calls
- Times when an AI system uses another function, such as search or file access.
- tool call
- One time an AI agent uses a tool, such as search, calculation, or file reading.
- guardrails
- Rules and checks that keep AI from doing harmful or unwanted things.
- guardrail
- A safety rule that prevents a system from making harmful or unwanted mistakes.
- workflows
- The specific order of steps taken to finish a piece of work.