AIGuru.

Role in Valnative AI OS for Retail

Identify AI-use gaps

This is one component of the platform. A working product does not establish that every cross-product handoff or retailer integration is available.

Inputs and outputs

Inputs: Role-based work scenarios and self-assessment inputs.

Outputs: A Process/Tools/Skills profile; this frozen prototype does not offer certification.

Problem & who it’s for

Generic AI-literacy quizzes test vocabulary. A useful diagnostic should expose whether the person’s process, tools or practical skills are the binding constraint.

Offer & core workflow

AIGuru produces a Process/Tools/Skills profile and gap list. The intended journey is diagnostic rather than certification: for example, a low Process score should lead to AgentForMe proposing agents, skills or workflows that address the gap.

What exists now

• A frozen role-based diagnostic and interpretation prototype.
• A dated status ledger that records known test and dependency gaps.

Next milestones

• Require a separate founder-approved reactivation commitment before implementation work.
• Close test and dependency gaps before any launch-readiness claim.
• Implement and verify the diagnostic handoff to AgentForMe.