The black box problem
Building an application with AI is easy. Keeping it alive for two years is hard.
Tools that generate code from a prompt give you a fast demo, then leave a pile nobody can read and nobody can maintain. Akira's AI does not write free-form code — it builds Akira objects. Every process, form and rule it produces opens in the platform's own designers, so your team can take it over, audit it and change it.
| Prompt-to-code tools | Akira AI | |
|---|---|---|
| Output | Free-form code | Akira platform object |
| Maintenance | Tied to whoever generated it | Anyone, from the designer screen |
| Auditability | Limited | Full audit trail |
| Permission fit | Bolted on afterwards | Present in the architecture |
| Under complexity | Breaks down | Standards hold |
Questions to ask any AI development platform
1Who can maintain the output?
2Is the permission model below the AI, or above it?
3Is there an audit trail?
4What remains if I leave the platform?
5How is AI cost calculated?
Before you sign
Five questions to ask any AI platform.
01If the AI is asked about a record the user has no permission for, what happens — is it filtered, or is it unreachable?
02What does the AI actually produce: code, or platform objects my team can open and edit?
03Who maintains this application in two years, and with which screens?
04Can I see who changed which field, and when?
05If we leave the platform, in what format do we take our data and process definitions with us?