Abstract neural network illustration
Technical White Paper · Summer 2026

CUTEADMOA — inside the architecture

The routed model portfolio, the credential fabric, the proxy fleet, governed agent execution and the self-training loop — documented end to end, with a measured delivery register and a narrated walkthrough.

Version 2.0· Length 26 pages· Author MD Abu Sayeed, Afritech54 LLC· Format PDF + narrated video
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White paper walkthrough — 3:15 · captions burned in · tap a control

Captions are burned into the picture and always on. Eleven narrated chapters covering the same material as the document.

Contents

What the white paper covers

01Executive summaryWhy orchestration, not model quality, is the binding constraint — and the five commitments the platform is built on.
02The complete model portfolioThe four-family routing roster, the discovered pool across upstream catalogues, and the thirty-key priority-chained credential fabric.
03Reliability engineeringTen isolated proxy instances, preemptive rotation at 95% of documented limits, and the composed fallback chain.
04CuttyMOA — first-party modelsCorpus construction, the mixture-of-experts base, LoRA training, merge, quantisation and self-hosted serving.
05Applications and deliveryWhat has been built on the platform, plus the delivery register compiled from the platform's own session history.
06Success stories and limitsMeasured outcomes with their numbers, and an explicit statement of what the paper does not yet claim.
4,117production requests measured over a 30-day window, full population
98.9%completion overall
99.9%availability — unavailable share 0.1%
204verified datasets across 24 categories in the released corpus
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📄 White paper — PDF26 pages · 0.9 MB · Version 2.0, Summer 2026 Download 🎬 Narrated walkthrough — MP43:15 · 1080p · captions burned in Download 📈 Measured operations cardThe 30-day reliability figures as a shareable image View
Slide from the walkthrough showing measured operations: 4,117 requests, 98.9% completion, 99.9% availability
Citation

Referencing this work

Sayeed, M. A. (2026). CUTEADMOA: A Production-Ready Multi-Model Orchestration Platform — Technical White Paper, Version 2.0, Summer 2026. Afritech54 LLC.

Peer-reviewed article extending this work:
Sayeed, M. A. (2026). CUTEADMOA: A Unified Mixture-of-Agents Platform with Continuous Self-Training for Autonomous Enterprise AI Automation. Advances in Artificial Intelligence and Robotics Research, 2(3), 190-208. DOI: 10.4236/airr.2026.23011.

Read the paper on SCIRP Paper PDF DOI
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