More than chat
Joe is built for completion. The user asks for an outcome, Joe makes the plan, and the runtime keeps going until the work is done.
PRODUCTS
Joe Intention Engine
Turn intent into completed work. Joe breaks a goal into tasks, routes every step to the right model or tool, and verifies the result before it is handed back.
Understands goals, not just prompts
Plans work before execution
Verifies completion before closing the task
Why teams buy the Intention Engine
A user gives Joe one intention. Joe turns it into a task graph, executes each step, and returns a confirmed outcome instead of a draft response.
Task graphs
Complex work becomes a set of smaller tasks with explicit states, dependencies, and completion criteria.
Best model per step
Joe routes each task to the model or tool that fits it best instead of forcing one model to do everything.
Verified delivery
Every result is checked before the user sees it, which makes the experience feel dependable instead of experimental.
The execution stack behind Joe
Joe works as a layered system. Identity and memory keep the user context stable, the harness keeps execution reliable, and Joe Lumen chooses the model for the step.
Identity
Joe keeps the user and subscription attached to the work so the experience stays continuous across apps.
Memory
Durable memory gives Joe context from one task to the next instead of resetting every time.
Harness
The harness controls planning, progress, and verification so the system can keep moving until the outcome is complete.
Joe Lumen
The model layer mixes the best open and closed models for each task instead of using one model for every step.
Illustrative benchmark profile
A sales-facing benchmark view should show where Joe Lumen is strongest across major domains, including agentic tasks and computer use. The chart below is a positioning graphic, not a published third-party benchmark.
Joe LumenGPT-5.6Claude Fable 5Kimi 3
Reasoning
96
88
86
81
Coding
95
87
84
79
Planning
97
84
82
77
Agentic tasks
98
78
76
70
Computer use
94
83
81
76
Tool use
96
85
83
78
Multi-step execution
97
86
84
80
Higher scores indicate stronger positioning in this illustrative comparison. For formal claims, use validated external benchmarks and publish the methodology.
EXAMPLE
Launch subscriptions for a SaaS
A user gives Joe one intention. Joe turns it into a task graph, executes each step, and returns a confirmed outcome instead of a draft response.
1Understand the goal
A user gives Joe one intention. Joe turns it into a task graph, executes each step, and returns a confirmed outcome instead of a draft response.
2Create the task plan
A user gives Joe one intention. Joe turns it into a task graph, executes each step, and returns a confirmed outcome instead of a draft response.
3Run Stripe setup
A user gives Joe one intention. Joe turns it into a task graph, executes each step, and returns a confirmed outcome instead of a draft response.
4Verify checkout and webhooks
A user gives Joe one intention. Joe turns it into a task graph, executes each step, and returns a confirmed outcome instead of a draft response.
5Mark the task complete
A user gives Joe one intention. Joe turns it into a task graph, executes each step, and returns a confirmed outcome instead of a draft response.
BOOK A DEMO
Sell outcomes, not prompts.
Use Joe when you need AI that completes the work, not AI that leaves the user guessing. Book a demo to see the runtime in action.