Why this exists
AI assistants are increasingly involved in code, plans and decisions. They can produce convincing work while missing an important constraint. Asking the same context to reconsider sometimes helps, but it can preserve the original framing. Khimba makes it practical to ask a genuinely different model without manually rebuilding the context in another application.
Product principles
- User choice: the user selects the reviewer; Khimba does not silently substitute models.
- Visible evidence: the proposed files and supplied context are listed before upload.
- Explicit cost: users approve a maximum charge, then pay for measured token use.
- Honest limits: a second opinion is additional evidence, never proof or professional authority.
- Minimal claims: we do not fabricate testimonials, ratings, benchmarks or affiliations.
Contact and product record
For support, privacy questions, corrections or responsible reports, email support@khimba.ai. Product changes are recorded in the public changelog. Installation facts are also published as machine-readable JSON and an expanded AI reference.