This workflow captures the path to value for someone evaluating an AI coding agent such as Claude Code, Cowork, Codex, or OpenClaw. More work is moving from traditional software flows into a simpler behavior: ask my agent to do it. That shift creates a new opportunity to help prospects directly inside the workflow they are adopting.
The journey starts when the user wants help doing something inside their coding agent that it cannot do well on its own. The user adds the missing capability through the interface the agent already supports, such as a CLI install, MCP connection, or reusable skill. Then the user asks the agent for a valuable output for the first time and gets something real back.
From there, the workflow becomes practical. The user and agent refine the deliverable until it is genuinely useful, and continued usage eventually runs into a natural limit or gated step that creates a reason to sign up. This is the aha path: the agent moves from interesting demo to repeatable leverage.
You care about improving the entire lifecycle of buyer and customer journeys. And you want inspiration for areas where Ai may help.
You want inspiration for real-world ways to help people as you're building your Ai product.
You're focused on the Consideration stage in your daily job and want to find ways for Ai to help you do more with less.
Use this example as a starting point, not a fixed recipe.
Adjust the steps, tools, and human involvement to fit your real workflow, then test where users actually get value or drop off.