Mentorv2.3.0

A data engineering team tasks Mentor with migrating 40 ETL jobs from legacy Airflow to a new orchestration framework. Mentor decomposes the goal into a task graph, schedules dependency-ordered jobs, and dynamically replans when two downstream jobs fail due to schema drift. Journal data from each skill feeds heartbeats that flag regressions before they reach production.

A fintech operations leader uses Mentor to coordinate research (Sift), skill building (Forge), and user communication (Dispatch) for a new KYC onboarding flow. Mentor supervises the cross-skill workflow and escalates from local retries to strategy-level replanning when compliance review blocks tasks. Champion/challenger variant evaluation determines which onboarding branch converts better.

An AI platform team runs deep heartbeats to ingest journals from every deployed skill, score OKR performance against baselines, and auto-generate improvement proposals routed to Forge. When a summarization skill's accuracy drifts, Mentor proposes a challenger variant and emits a promotion decision after empirical evaluation. This turns skill maintenance into a measurable, data-driven loop.

A strategy consulting firm uses Mentor to manage a months-long competitive analysis spanning dozens of research and reporting tasks. Mentor tracks task states, prioritizes the critical path, and coordinates Sift for research and Dispatch for client updates. Heartbeat-mode evaluation compares analyst-skill variants to improve report quality over time.

A healthcare payer deploys Mentor to orchestrate multi-step claims adjudication and appeals workflows. Mentor supervises bounded-parallel tasks, repairs failures through the layered escalation policy, and journals every repair action for audit. Evaluation loops detect processing regressions early, and improvement proposals are staged behind Forge evaluation before promotion.

Customers pay a recurring subscription to run Mentor as the control plane for their multi-skill agent workflows. Pricing tiers scale by active projects, heartbeat frequency, and variant evaluation volume. The platform continuously improves itself, increasing retention and expansion revenue.

Large enterprises license Mentor on-prem or in a private cloud to govern internal skill fleets, keeping journal data and proprietary workflows inside their perimeter. The license includes orchestration, evaluation, and the improvement loop with Forge hand-off. Annual contracts include support and compliance features.

A service provider operates Mentor on behalf of clients who lack platform engineering capacity, running heartbeats, tuning OKRs, and managing champion/challenger promotions. Clients receive periodic performance reports and improvement roadmaps. This creates high-touch, sticky consulting-style revenue with automation leverage.