Claude and Claude Code
What may the AI produce, what must it never decide, and what evidence lets a person approve the result? Evaluate the tool by repository fit, permissions, review controls, team workflow, and quality of verification rather than brand preference.
What You Will Be Able to Decide
- Explain claude and claude code in product and business terms.
- Apply this decision: Evaluate the tool by repository fit, permissions, review controls, team workflow, and quality of verification rather than brand preference.
- Recognise this material risk: broad agent access is granted without a clear task boundary or review of the resulting changes.
- Use this review: Run one customer email through the intake tool with missing context, ambiguous intent, and a request that needs human approval.
A founder is deciding what to delegate to AI and what evidence to require before accepting the result. This lesson gives you a concrete question to take into a build brief, proposal review, or product decision.
What may the AI produce, what must it never decide, and what evidence lets a person approve the result? The course example is An AI assisted intake tool that turns customer emails into draft tasks; use it to decide what evidence would justify the choice before a builder implements it.
What Does Claude and Claude Code Mean for Your Product?
A founder is deciding what to delegate to AI and what evidence to require before accepting the result.
Use the illustrative service for this course (An AI assisted intake tool that turns customer emails into draft tasks) to make the choice concrete. What may the AI produce, what must it never decide, and what evidence lets a person approve the result?
Technical term
Claude and Claude Code
Claude provides conversational reasoning, while Claude Code is an agentic coding environment designed to inspect, modify, and verify software projects.
How Should a Founder Use Claude and Claude Code?
For an ai assisted intake tool that turns customer emails into draft tasks, ask what would happen if broad agent access is granted without a clear task boundary or review of the resulting changes.
For this decision, the useful standard is that the output satisfies explicit constraints and survives review outside the conversation that produced it.
- Decision: Evaluate the tool by repository fit, permissions, review controls, team workflow, and quality of verification rather than brand preference.
- Evidence to request: show that the output satisfies explicit constraints and survives review outside the conversation that produced it.
- Owner: name who will respond if broad agent access is granted without a clear task boundary or review of the resulting changes.
- Record the result in the AI work brief, review record, and acceptance criteria.
- Practical review: Run one customer email through the intake tool with missing context, ambiguous intent, and a request that needs human approval.
How Do You Choose an Approach to Claude and Claude Code?
What may the AI produce, what must it never decide, and what evidence lets a person approve the result? Evaluate the tool by repository fit, permissions, review controls, team workflow, and quality of verification rather than brand preference.
The risk is that broad agent access is granted without a clear task boundary or review of the resulting changes. Compare a simpler option with the proposed one, including who will operate either choice.
- Describe the user or business outcome that must be protected.
- Identify the most credible failure and its consequence.
- Compare the simplest adequate approach with one realistic alternative.
- Set a review point for when the decision may need to change.
What Evidence Should You Accept for Claude and Claude Code?
What Warning Signs Should You Look For?
- The proposal does not address this risk: broad agent access is granted without a clear task boundary or review of the resulting changes.
- Nobody can show whether the output satisfies explicit constraints and survives review outside the conversation that produced it.
- The decision has no named owner or review point.
What Should You Ask a Consultant?
- What changes for the user if we choose this approach to claude and claude code?
- How have we reduced or accepted this risk: broad agent access is granted without a clear task boundary or review of the resulting changes.
- Can you demonstrate that the output satisfies explicit constraints and survives review outside the conversation that produced it?
- Who owns the result, and when will we reconsider it?
Key takeaway
Key Takeaway
Evaluate the tool by repository fit, permissions, review controls, team workflow, and quality of verification rather than brand preference. Ask for evidence against the specific risk: broad agent access is granted without a clear task boundary or review of the resulting changes.