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Founder-level technical leverage when the AI build has to ship.

Belden Studio LLC helps founders turn agent workflows, LLM integrations, backend platforms, and full-stack product systems into production software.

Use this when the problem is too important to leave as a prototype.

The demo works, but production is still risky.

Turn a promising AI prototype into a reliable product path with the right architecture, UX, integrations, and observability.

The system crosses product, platform, and workflow.

Useful when the work is not just prompts: it needs backend services, data flows, user interfaces, eval loops, and practical product judgment.

The technical direction needs to harden before the team catches up.

Move the build forward while hiring, fundraising, or internal alignment is still in motion.

You need a senior operator, not a capability list.

Campbell can shape the product, make architecture calls, lead technical decisions, and still write the production code.

What the first engagement ships.

The first engagement should produce useful software or a production path the team can act on immediately.

  1. Week 1

    Find the smallest production slice.

    Clarify the product goal, user path, system constraints, data/API surfaces, and the place where shipping first creates leverage.

  2. Weeks 2-3

    Build or harden the core path.

    Ship the agent workflow, LLM integration, backend service, evaluation loop, or full-stack product surface that proves the direction.

  3. Week 4+

    Extend, instrument, or hand off.

    Keep building, add reliability and observability, support hiring/onboarding, or document the system so the team can inherit it.

Proof from products that had to work.

Shipped product systems are the clearest signal for this kind of consulting work.

Prior product experience includes 1Password, Caffeine, and mmhmm, plus independent and client AI products built through Belden Studio LLC.

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Campbell Belden

Campbell Belden

Belden Studio LLC, San Francisco

10+ years shipping production software across AI product systems, full-stack products, backend/platform infrastructure, and technical leadership. Useful when the same person needs to shape product direction, choose the architecture, and implement the first real slice.

Useful before, during, or alongside a key hire.

This works when the product and technical path need to move now, without forcing a premature org decision.

Before hiring

Clarify the product path and ship the first slice so a later hire inherits a sharper problem.

During hiring

Keep product and technical progress moving while recruiting runs in parallel.

Alongside hiring

Build systems, evaluation loops, and architecture that a growing team can operate.

Have an AI product path that needs to become real software?

Send a short note about what you are building, what is stuck, and what timeline matters. Campbell will reply with whether it looks like a fit and the smallest useful starting slice.