Decagon

Use this page as a practical starting point for deciding whether Decagon belongs in your stack. The right answer depends less on hype and more on the workflow you need to improve.

Evaluate it against five things: the job it performs, how often you will use it, whether it fits your existing tools, what human review is required, and whether the cost is justified by saved time or better decisions.

A good AI tool should produce a usable output, make the next step clearer, and reduce repeated work without hiding important risks from the person responsible for the result.