Question 1

What exactly is iF.ai? Is it just an AI that writes code?

Accepted Answer

iF.ai is not just an AI that writes code - it's an AI-powered software delivery system. We turn requirements, design, development, testing, and deployment into repeatable workflows, using pluggable Skills (capability modules) to complete each step.

Question 2

How is iF.ai different from Cursor or ChatGPT?

Accepted Answer

Tools like Cursor or ChatGPT are more like personal productivity boosters; iF.ai is more like a productized delivery process system. We don't just output code - we include testing, quality gates, reviews, and traceable records in every delivery.

Question 3

Why does iF.ai emphasize 'Workflow over Model'?

Accepted Answer

Model capabilities will evolve, but enterprise delivery needs reproducibility, verifiability, and auditability. We encode delivery standards into Workflows and Verification Gates, so even when switching underlying models, quality remains stable as long as processes and verification are consistent.

Question 4

I don't understand code - how do I know what iF.ai delivers is correct?

Accepted Answer

You don't need to read code. We provide automated test results for every delivery - which features were tested, passed or failed, version and timestamp. This lets you verify quality with understandable evidence, not gut feeling or verbal assurances.

Question 5

Will our enterprise code and know-how be used to train AI models?

Accepted Answer

According to our enterprise-grade provider policies, your prompts/outputs are not used to train foundation models by default. Azure OpenAI, Amazon Bedrock, and OpenAI Enterprise all have explicit data privacy policies protecting enterprise data.

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