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Agent vs Co-pilot Product Strategy

Reusability

A framework for distinguishing between AI tools that assist with individual tasks (co-pilots) versus those that handle entire workflows end-to-end (agents)

How It Works

Co-pilots help with 1-2 steps in a process, while agents complete 90% of entire jobs autonomously, requiring only high-level direction and final review

Components

1

Identify complete user workflows

2

Determine automation percentage target

3

Build for end-to-end completion rather than step assistance

4

Focus on outcome delivery over process optimization

When to Use

When deciding product scope for AI tools - whether to build incremental assistance or comprehensive automation

When Not to Use

When users need granular control over every step, or when the domain is too complex for end-to-end automation

Anti-Patterns to Avoid

Building co-pilot features when users want full automationTrying to automate everything without proper observabilityIgnoring the supervision/review layer

Example

Instead of building a co-pilot that helps write Excel formulas, build an agent that takes a business request and delivers a complete financial model