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.
Belden Studio LLC helps founders turn agent workflows, LLM integrations, backend platforms, and full-stack product systems into production software.
Turn a promising AI prototype into a reliable product path with the right architecture, UX, integrations, and observability.
Useful when the work is not just prompts: it needs backend services, data flows, user interfaces, eval loops, and practical product judgment.
Move the build forward while hiring, fundraising, or internal alignment is still in motion.
Campbell can shape the product, make architecture calls, lead technical decisions, and still write the production code.
The first engagement should produce useful software or a production path the team can act on immediately.
Week 1
Clarify the product goal, user path, system constraints, data/API surfaces, and the place where shipping first creates leverage.
Weeks 2-3
Ship the agent workflow, LLM integration, backend service, evaluation loop, or full-stack product surface that proves the direction.
Week 4+
Keep building, add reliability and observability, support hiring/onboarding, or document the system so the team can inherit it.
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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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.
This works when the product and technical path need to move now, without forcing a premature org decision.
Clarify the product path and ship the first slice so a later hire inherits a sharper problem.
Keep product and technical progress moving while recruiting runs in parallel.
Build systems, evaluation loops, and architecture that a growing team can operate.
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.