Abstract
A modern software organization increasingly runs a mixed workforce: human employees alongside a fleet of autonomous AI agents ("personas") that are asked to do work, do it, and report findings — concurrently, around the clock. Two structural failures recur. First, teams adopt the version-control branch as the implicit unit of work ownership. A branch, however, models file isolation, not work ownership: it does not represent assignment, lifecycle, blockage, priority, or effort, and when many agents operate on one shared repository, branch identity provides no mechanism to arbitrate who holds a unit of work, producing collisions, lost commits, and stomped working trees. Second, the same work data — the request, the hours, the progress narrative, the outcome, the billable effort — is re-entered across a ticketing tool, a calendar, a notes app, and a timesheet, producing drift and destroying auditability.
This publication describes a coordination architecture that resolves both with one move: make a single mutable Task row in a relational database the authoritative owner of a unit of work for the whole mixed workforce. Every intake channel resolves to a single idempotent entry point that creates exactly one Task, carrying an origin_ask_ref to the channel's own system-of-record rather than copying it. Work sessions, progress notes, the resolution note, the timesheet rollup, and the activity ledger each reference the Task by foreign key — an id-reference-only, no-double-entry invariant — and the timesheet total is mechanically aggregated from referenced work-session durations rather than hand-keyed. Concurrent agents acquire and arbitrate write ownership at task-record write time through the Task's finite-state lifecycle (open → in_progress → blocked/complete), so the Task — not the branch — owns the work; a conflicting concurrent claim is serialized by the record's state machine before any repository write. The effect: every unit of work has one auditable owner, an AI persona's workday is as legible and accountable as a human employee's, and branch-ownership conflicts among concurrent agents are removed structurally. This document is published as prior art to keep the technique freely practiceable.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Assuncao, gustavo matthew, "Task-as-Hub Coordination for a Mixed Human/AI-Agent Workforce", Technical Disclosure Commons, (June 29, 2026)
https://www.tdcommons.org/dpubs_series/10591