Knowledge silos
Critical information lives in experts' heads or scattered documents, creating fragile key-person dependencies.
Human-in-the-Loop AI Knowledge Engine
Transform scattered documents, tribal knowledge, and repetitive questions into an accurate internal assistant that continuously improves alongside your team.
The business challenge
Conventional documentation goes stale. Unmonitored AI creates new risk. Teams need a system that learns without losing human control.
Critical information lives in experts' heads or scattered documents, creating fragile key-person dependencies.
Senior employees repeat answers while new hires wait for the context they need to move forward.
Documents are easy to publish and hard to maintain, with no feedback loop for real-world operational gaps.
Deploying AI without review creates unverified answers, inconsistent execution, and operational risk.
The closed-loop solution
Every improvement starts with real usage and ends with explicit human approval.
Set roles, guidelines, language style, and core operational boundaries.
Employees ask about policies, onboarding, service, and operational workflows.
Users rate responses and submit expected answers directly from the conversation.
Gemini identifies feedback patterns and proposes refined system instructions.
Domain experts edit, approve, or reject every proposed knowledge update.
Accepted updates retain full history, auditability, and rollback safety.
Tailored value
One governed knowledge system, shaped for every role that depends on it.
Reduce dependency on individual experts, standardize execution, and scale operational knowledge with full auditability.
A structured Gemini-first environment combining prompt editing, feedback, versioning, and secure human validation.
Convert recurring questions and onboarding material into an active assistant that improves through daily usage.
A single conversational hub for reliable answers, with simple feedback tools when information needs refinement.
Why electrodog.ai
Refinements stay tied to specific user feedback and expected outcomes.
AI suggests improvements; domain experts retain approval control.
Track accepted and rejected changes with a complete history.
Configure, test, collect feedback, and tune in one workspace.
Use local storage and JSON import/export for secure mobility.
Built for Hebrew-speaking teams and multilingual workflows.
Start with one high-value domain
Choose onboarding, operations, or support and see how quickly a governed assistant improves with real team feedback.