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Services

Project work, managed hosting, and AI usage are priced as different things because they are different things.

Factory Sketch

Map one expensive workflow, identify what can safely move to agents, define the foreman role, and produce the first factory blueprint.

  • Workflow map
  • Candidate agent roles
  • Risk list
  • Review gates
  • Foreman loop
  • Build/no-build recommendation

Factory Build

Use the Singularity Labs factory to build a client-specific factory with roles, memory rules, dashboards, and handoff procedures.

  • Intake and specification flow
  • Agent role definitions
  • Execution plans
  • Verification gates
  • Observability trail
  • Operating runbook

Factory Foreman Training

Teach the human operator to steer the factory, diagnose confusion, approve risk, improve the loop, and stop the line when quality drops.

  • Foreman operating model
  • Specification habits
  • Review routines
  • Failure diagnosis
  • Memory hygiene
  • Escalation rules

Managed Agent Hosting

Host and maintain managed agent workbenches and client sites after launch: infrastructure, updates, usage logs, backup routines, credentials hygiene, and scoped access.

  • Managed runtime
  • Private client workbench
  • Agent access controls
  • Usage and activity logs
  • Maintenance routine
  • Billing handoff

Managed Factory Operation

Run a client-specific factory on a dedicated VPS or private runtime, then surface client-safe factory feedback through the portal.

  • Dedicated VPS or private runtime
  • Factory health dashboard
  • Feedback event timeline
  • Upkeep and backup routine
  • Foreman training status
  • Compute posture and caps

Factory Audit

Inspect brittle AI workflows that only work while one person babysits them, then add the machinery that makes them usable.

  • Brittleness review
  • Risk inventory
  • Missing checks
  • Recovery paths
  • Operator handoff gaps
  • Repair plan

The billing model should match the work.

A factory build is not the same thing as keeping a server alive, and neither one is the same thing as production model usage.

Build work is fixed-scope

Factory Sketch and Factory Build work are quoted as scoped projects. The quote is based on the shape of the problem, the risk, and the value of a working factory.

Hosting is recurring

If Singularity Labs runs infrastructure for you, site hosting, dedicated VPS costs, monitoring, updates, backups, credential hygiene, and upkeep are billed monthly.

AI usage is measured separately

Build-time experimentation is part of R&D. Production usage is estimated after the loop is stable enough to benchmark, then handled as prepaid, capped, or client-supplied compute.

Hourly is for transition work

Hourly work is still available for small support windows, but it is not the default for factory design. The goal is a concrete system, not a long block of time.

Managed factory operation

For clients who want Singularity Labs to keep the machinery running, we can provision and manage the runtime, connect billing, maintain the agent workspace, and give the client a controlled dashboard for requests, approvals, and usage evidence. That is a monthly operating service, not a one-time website launch.

Compute is not labor.

AI model usage is treated like a metered operating cost. If a client wants Singularity Labs to run production decisions, the portal tracks the agreed budget separately from the project fee. Early R&D is quoted as research work; production usage is quoted after the loop is repeatable enough to measure.

Start by finding the factory shape.

The first useful question is not the price. It is whether the work can be made inspectable, recoverable, and teachable enough for a human foreman to operate.

Talk Through a Factory
Singularity Labs

Custom AI factory design, factory builds, and foreman training for teams with expensive knowledge work.

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