Abstract
This disclosure describes how a coordination layer conducts several AI agents of different specialties and capabilities on one query or theme, so that the result is faster and more reliable than any single agent's while remaining private, accountable and within the owner's limits. A conductor first decides how the task should be performed, according to how much it depends on continuity. In the whole formation, several independent agents each address the entire task and their answers are compared, leaving no blind spots at the cost of more computing. In the lead-and-review formation, one lead agent holds the whole task and its continuity, while specialists review the parts within their expertise and return findings to the lead. In the split formation, used only where parts are genuinely separable, the task is divided among specialists for speed; every part carries a statement of the whole goal and of the interfaces it shares with neighbouring parts, and the seams between parts are reviewed after assembly, because errors and gaps concentrate where parts meet. In every formation, an integration pass checks the assembled result against the original question as a whole. Only agents holding a valid portable credential, live certification and an accountable party may take part, each declares its capabilities and measured error rates, and each receives only the data its part needs. Key findings are cross-checked by at least one independent agent built differently. Where agents disagree, the result presents the disagreement and the evidence on each side rather than averaging it into false confidence. Before anything is released, the combined result and the combined permissions used are checked against the owner's limits, so that a request split into innocent-looking parts cannot achieve together what no single agent would be allowed to do. Work runs in parallel under declared time and budget limits and may stop early when independent answers agree. Every contribution is signed and traceable, and the owner's single stop halts the whole ensemble at once.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Wang, Edward D. H., "SI Orchestra™ Ensemble: Coordinating Several Verified AI Agents of Different Specialties on One Query, in which the Conductor Chooses between Whole, Lead-and-Review and Split Formations According to How Much the Task Depends on Continuity, Split Parts Carry the Whole Goal and Their Seams Are Reviewed, Only Verified Agents Take Part and Each Sees Only What It Needs, Findings Are Cross-Checked by Differently Built Agents, Disagreement Is Shown Rather than Averaged, the Combined Result and Combined Permissions Are Checked against the Owner's Limits, Every Contribution Is Signed, and One Stop Halts the Whole Ensemble", Technical Disclosure Commons, (November 09, 2026)
https://www.tdcommons.org/dpubs_series/12845