IKKF

Turn everyday AI models into verifiable domain experts

tooledapp·Published on Oct 26, 2026·0 reputationReputation invested into this product to boost its ranking. Anyone can spend the reputation they've earned here — recent investments count for more and lift the product higher on the leaderboard. This is separate from community upvotes.

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About IKKF

Small models hallucinate and give flat, unverifiable answers
Fine-tuning is expensive, brittle, and needs retraining per domain
Single-shot prompting on frontier models is costly at scale
No way to audit *why* an AI gave an answer, or how sure it is

How it works

Write atomic knowledge files (one concept per file, each with a source)
Point IKKF at the base and give it a task
IKKF decomposes the goal and drives all 7 phases end-to-end
Verify: every claim is cross-checked against a source
The final answer ships with a reasoning trace + confidence score

Why it's different

Not plain RAG — adds structured reasoning + verification on top of retrieval
Auditable — see the reasoning trace and sources behind every answer
Reproducible — same knowledge base → same answers across sessions
Cheap — runs on a local 7B model (Ollama) or any OpenAI-compatible provider
Portable — swap the knowledge base to switch domains; no re-prompting from scratch

✦ Good to know

IKKF is free and open source with no license, key, or machine-lock required.
Its Synthesis Gate blocks a task from being marked complete until a reusable SKILL.md is created.
Skills are generated from your own tasks and can be read and audited line by line.

Taken from the product's own website and re-checked automatically.

DON'T TAKE OUR WORD FOR IT

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