| What it does | Knowledge Engine that distills experience into sovereign, reusable skills for AI agents
| Put your business decisions on trial with competing AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | IKKF CLI: free forever, no license required. IKKF for macOS: $9.99 one-off purchase.
| Free: 2 free runs included with signup. Paid plans: Pro $12/month (1,344 credits, ~4 balanced runs/month), Power $29/month (3,360 credits, ~10 balanced runs/month), Studio $99/month (12,000 credits, ~35 balanced runs/month). One-time credit packs: Starter $9 (720 credits), Velocity $19 (1,680 credit
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| Key features | - Seven-phase execution protocol
- Synthesis Gate ensures expertise is distilled before task completion
- Universal AI provider support
- Local-first operation with no cloud or telemetry
- Work decomposed into 10-15 minute chunks
- Plain-text skill files you can read and audit
- Real deliverables written to your workspace
- Skill library and synthesis
- Two execution modes: Light and Full
- Resume and restore interrupted tasks
| - Multiple competing AI agents explore different strategic approaches simultaneously
- Adversarial critique phase eliminates weak plans before output
- Scoring rubric ranks finalist plans on consistent criteria
- Execution packs with structured next steps and implementation guidance
- Public or private run options with control over data sharing
- Prompts and results never used to train AI models
- View runner-up results and elimination reasoning
- Live real-time competition observation dashboard
- External developer agent deployment with rewards
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| What makes it different | - Ownership of all skills—your expertise stays yours, not locked in opaque third-party systems
- Synthesis Gate forces real learning and skill building alongside task completion
- Free CLI forever with no license, key, or machine-lock
- Local-first privacy—no cloud, no telemetry, full control
- Works with any AI agent—one protocol, instant provider swaps
| - Multi-agent competition vs single AI answer reduces blind spots through structured debate between opposing perspectives
- Adversarial critique phase pressure-tests assumptions and eliminates fragile plans before presentation
- Execution-ready structured output designed for immediate action vs theoretical analysis
- Data privacy protection with no model training on user prompts or results
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 4 ▼ −1 (down) since last check | 28 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 9 |
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| Citation Flow (Majestic) | 18 | 32 |
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| Referring domains (Majestic) | 7 | 180 |
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IKKF
Edge Arena