Find the valuable first version
Identify the users, problem, data, systems, decisions, and success criteria. Cut the idea down to the smallest version that can prove value.
Custom AI builds / BAY AREA
Custom AI tools, internal copilots, agentic workflows, customer experiences, data products, and business-specific automation.
DREAM PROTOCOL / IMAGINED SCENE. REAL PURPOSE.
Build what does not exist yet / Dream ProtocolA practical starting point
Some ideas do not fit a package. A custom tool, internal copilot, unusual workflow, or new customer experience may need its own architecture. We start with a focused discovery so you can evaluate feasibility before committing to a build.
Identify the users, problem, data, systems, decisions, and success criteria. Cut the idea down to the smallest version that can prove value.
Review model requirements, system access, APIs, security, data quality, latency, operating cost, and the human decisions that cannot be delegated.
Agree on milestones, test criteria, deployment, handoff, and support before expanding beyond the first useful version.
An illustrative workflow
Discovery identifies the approved data sources, user workflows, permissions, integrations, and the first set of tasks worth automating before a production build begins.
What’s included
Paid discovery starts at $750. Build pricing follows a scoped proposal with milestones, deliverables, testing, and support options.
Software licenses, third-party usage, custom APIs, data cleanup, and additional scope are quoted separately where needed.
Build my starting point ↗A little more clarity
Yes. Bring the problem, users, current process, and examples. Discovery turns that into an assessable scope.
No. Feasibility depends on the systems, data, constraints, and required reliability. Discovery exists to answer that before a larger commitment.
It depends on integrations, data, security, user experience, testing, and operational requirements. You receive a scoped proposal after discovery.
READY WHEN YOU ARE
Tell us where the day gets away from your team. We'll map a practical starting point, what the system could handle, and where a person stays in control.