Exact product and model versions
XFlowIQ build number and commit SHA
Each model or worker lane identifier
Bridge/server version
Workspace commit and test harness version
Auditable coordination
Multi-Agent Engineering: Four Models, One Auditable Workspace
A proof path for showing how XFlowIQ coordinates multiple AI lanes with receipts, role boundaries, risk gates, and evidence instead of uncontrolled chat sprawl.
Evidence Contract
Every comparison must carry the same proof fields.
Test environment
Local workspace with controlled test tasks
XFlow communication bridge or operator room status captured
No private customer data or production credentials
Baseline configuration
Uncoordinated single-thread assistant baseline
XFlow role lanes: builder, verifier, critic, advisor, coordinator, human final authority
All messages between workers counted as consumption
Complete results
Report task success, repair count, time, human correction count, and evidence quality
Show cases where coordination slowed the task down
Show messages, receipts, and final proof pack for each accepted task
Cases where the competitor performed better
Single-agent workflows can win on simple tasks with low coordination overhead
External coding products may have deeper IDE integration today
Limitations
XFlowIQ is a coordination and evidence layer, not a replacement for expert review
Worker lanes cannot be allowed to mutate live systems without approval
The current bridge still needs hardened reliability work before enterprise claims
Reproduction scripts or evidence
Worker message logs with redaction
Receipt ledger entries for tests, diffs, screenshots, and approvals
Failure packets showing what was repaired
Independence
XFlowIQ multi-agent engineering pages are independent and are not affiliated with any model provider or developer tool vendor.
Public pages should keep this line visible so comparison SEO stays clean, honest, and reviewable.