The problem
A prompt attached to a tool can finish a demo. Real workflows run for hours, branch on intermediate results, call systems that fail, and need someone accountable for the outcome. Most agent frameworks treat these as edge cases. They are the job.
The central idea
An AI worker is a unit of execution inside a system that understands dependencies, state, validation and recovery — not a chat loop with permissions.
How it works
- Alpha — orchestration
- Decomposes a goal into a dependency graph of tasks, assigns them to workers, and decides what may run in parallel and what must wait.
- Sledge — execution
- Runs each task in a bounded context with scoped tools and credentials, so a worker can act without acting everywhere.
- Spine — messaging
- Carries tasks, results and state between components, so coordination does not depend on any single worker staying alive.
- FangCheck — validation
- Checks outputs against schemas, rules and assertions before they move downstream. Failures route to retry, repair or a person.
- Kits — capabilities
- Configurable bundles of tools, instructions and policies that define what a class of worker can do.
Capabilities
- Multi-agent orchestration over dependency graphs
- Stateful workflows with checkpointing and resume
- Scoped tool and API execution
- Model-agnostic workers — the model is chosen per task
- Validation gates between steps
- Human approval at defined boundaries
- Extensible worker capabilities through Kits
Where it operates
Workflows that span several systems of record — where steps are long-running, outputs must be checked, and some actions require sign-off.
Engineering considerations
Idempotent steps make resume safe. Validation is a separate component, not a self-assessment by the worker that produced the output. Every escalation to a person carries the state needed to decide.
Concepts
Within Equations Work
A proprietary Equations Work platform, and the execution layer we reach for when an engagement calls for agentic automation.
Read wolf backwards. It says flow.