Compound vs Stagnate: The real AI build/buy decision

Build versus buy sounds like a technology decision. It is not.

It is a decision about learning speed, switching costs, and who controls the workflow.

If you buy a tool and never codify the process, you become dependent on the vendor and on the people who remember how things work.

If you build the workflow spec, the gates, and the review cadence, you can swap tools without losing execution quality.

Compounding is not about doing more. It is about making the next iteration cheaper.

That requires reusable context templates, clear output formats, and evaluation so you can tell if you improved.

Many teams get stuck at the assistant stage: they use AI for drafts but do not operationalize the workflow.

The gap between those two stages is where job risk lives. The teams who operationalize keep moving while everyone else is still experimenting.

Start horizontal to learn: use a general tool to understand the workflow end to end.

Go vertical when one task dominates cost or risk: a specialized workflow that is deeply aligned to your process.

Define a switching cost threshold so you do not accumulate tool sprawl. If you cannot leave a tool without rewriting the business, you are locked in.

The safest middle ground is often: buy generic tooling, build the workflow spec and the guardrails, and automate the thin slice that matters most.

Pick one workflow where delays or errors are expensive.

Write the spec and the success checks first.

Then prototype with the simplest tool available and keep a human gate at the risk point.

After you see the workflow run, decide whether it should live in a vendor tool, an internal tool, or a hybrid. Do not decide from theory.