Spec your data pipeline
before you build with AI

Autopilot Spec is a spec builder for data coding agents. It turns business requirements from meetings, dashboards, systems of record, and other sources into a clear, agent-ready specification by resolving ambiguity and capturing the business logic your coding agent needs before it starts building.

A spec is the business and technical blueprint your coding agent builds against. It defines what you’re building, how the business operates, the source systems and entities involved, the rules and KPIs that define correctness, and any open decisions that need to be resolved before coding starts.

Coding agents are good at writing code. What they don’t know is how your company works: which system is authoritative, how revenue is defined, which exceptions matter, or what the finished numbers need to reconcile to. Autopilot Spec gives your coding agent that knowledge before it starts building, so it has fewer assumptions to make and fewer reasons to rewrite the pipeline later.

Business requirements often conflict, leave important rules unstated, or describe the same concept differently across systems and teams. Autopilot Spec applies 100k+ lines of proprietary domain expertise to turn that fragmented evidence into a coherent set of requirements, surfaces the gaps, and resolves the decisions that need human input before handing the build off.

Start with whatever already contains the knowledge behind the build: meeting transcripts, dashboard screenshots, spreadsheets, reporting requirements, source-system documentation, schemas, existing models, and other business or technical context. Autopilot Spec brings that evidence together into one consistent specification.

Autopilot Spec doesn’t silently choose an answer. It identifies source-of-truth conflicts, undefined business rules, exceptions, and other ambiguities, then surfaces the decisions that need to be resolved. The goal is to make uncertainty explicit before it turns into incorrect code.

An agent-ready specification for the data pipeline you want to build. It packages the approved scope, business logic, source-system context, entities, calculations, KPIs, reconciliation targets, and other requirements your coding agent needs to implement the data pipeline correctly.

Autopilot Spec is designed to sit before the coding step, rather than replace the tools you already use. You can use the resulting spec with your preferred coding agent and build against the source systems, warehouse, and data tooling already in your stack.

For many builds, business discovery can be completed within a couple of working sessions rather than weeks of meetings, tickets, and back-and-forth. Autopilot Spec itself typically runs for a few hours as it works through your materials, incorporates your feedback, and generates the full data model and specifications package. Exact timing depends on the complexity of the build and the amount of business context involved.

Autopilot Spec handles the business discovery that happens before the build: gathering requirements, resolving ambiguity, and producing an approved specification. Autopilot Pipeline can then take that spec through implementation, building an end-to-end data pipeline and validating it agentically against the business requirements it was designed to meet.

No. Autopilot Spec is designed to work with your existing data stack and workflows. Hand the finished spec to your preferred coding agent, use it with Autopilot Pipeline, or build from it manually. Autopilot Pipeline gives you an integrated path from specification through implementation and validation, while a general coding agent lets you bring the business knowledge bundle you generated with Autopilot Spec into the coding workflow you already use.