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Custom AI builds / BAY AREA

Bigger idea.
Build the useful version first.

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 Protocol

A practical starting point

Custom AI builds.
Built around your work.

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.

01

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.

02

Check feasibility before build

Review model requirements, system access, APIs, security, data quality, latency, operating cost, and the human decisions that cannot be delegated.

03

Build in clear phases

Agree on milestones, test criteria, deployment, handoff, and support before expanding beyond the first useful version.

An illustrative workflow

A company wants an internal operations copilot

Discovery identifies the approved data sources, user workflows, permissions, integrations, and the first set of tasks worth automating before a production build begins.

Context→Clear rules→Next step
Example only. The final workflow is agreed with your team.

What’s included

From $750 / discovery

Paid discovery starts at $750. Build pricing follows a scoped proposal with milestones, deliverables, testing, and support options.

  • Paid discovery and feasibility review
  • Scoped proposal with architecture and milestones
  • Agreed build, testing, and handoff deliverables
  • Support options scoped separately

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

Questions, answered.

Can we start with an idea instead of a specification?

Yes. Bring the problem, users, current process, and examples. Discovery turns that into an assessable scope.

Do you guarantee the idea is feasible?

No. Feasibility depends on the systems, data, constraints, and required reliability. Discovery exists to answer that before a larger commitment.

How much does the full build cost?

It depends on integrations, data, security, user experience, testing, and operational requirements. You receive a scoped proposal after discovery.

READY WHEN YOU ARE

Make room for
what matters.

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.