AIRUNCODE Client Onboarding Sprint (5-7 days)
This sprint productizes AIRUNCODE into a managed service where agencies deploy local-first AI agents on client hardware, configure self-healing test suites, and hand over a transparent cost tracker. It turns a $0 to $49 monthly tool into a $2,250 starter engagement. Time: 5-7 days.
By InnovaAI ResearchPublished
AIRUNCODE Client Onboarding Sprint (5-7 days)
This sprint productizes AIRUNCODE into a managed service where agencies deploy local-first AI agents on client hardware, configure self-healing test suites, and hand over a transparent cost tracker. It turns a $0 to $49 monthly tool into a $2,250 starter engagement.
- Client provides a dedicated workstation or server with Docker or equivalent container runtime installed
- Client supplies valid API keys for at least one supported provider (OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, OpenRouter, or NVIDIA)
- Agency team has admin access to AIRUNCODE's V-CORE settings and understands the difference between basic and full modes
- Client codebase is accessible and has an existing test framework (Vitest, Jest, pytest, or Cargo) for the self-healing runner to target
- A signed agreement covering API key ownership, data residency, and local infrastructure maintenance responsibilities
- 1.Install AIRUNCODE on the client's dedicated workstation or server and verify the local agent runtime starts without cloud dependencies
- 2.Configure the client's API keys in AIRUNCODE's BYOK settings for the chosen providers, confirming direct billing with no markup
- 3.Run a smoke test with a simple code-generation task to validate provider connectivity and local execution
- 1.Map the client's delivery workflow to AIRUNCODE's multi-agent swarm, identifying which tasks (test generation, bug fixing, code review) will be automated
- 2.Set up the first agent workspace and define shared memory contexts for parallel agents
- 3.Enable the cost tracker and establish a baseline for token spend per task type
- 1.Integrate AIRUNCODE into the client's codebase by connecting the repository and configuring the self-healing test runner for the existing test framework
- 2.Run the test runner on a failing test suite and verify it reads logs, applies diffs, and re-runs tests automatically
- 3.Document the agent's decision trail for the first self-healing cycle to review with the client
- 1.Configure a multi-agent debate workflow for a complex code generation task, assigning different agents to propose and critique solutions
- 2.Test context snapshots to preserve state across agent sessions and parallel executions
- 3.Validate that unlimited parallel agents can run without hitting rate limits or cost overruns
- 1.Set up the client's usage dashboard in AIRUNCODE's cost tracker, showing real-time token spend per provider and per agent
- 2.Create an audit trail export for the client's compliance review, ensuring all agent actions are logged
- 3.Conduct a handoff session with the client's team, walking through the runbook for managing API keys and local infrastructure
With a $2,250 starter fee and roughly 20 hours of setup effort, an agency can achieve a gross margin above 80% even after accounting for the $49 monthly Studio plan. Because clients pay providers directly via BYOK, the agency carries no token resale risk, and the $15 Pro plan supports unlimited BYOK keys for scaling to multiple clients.
- Deployed AIRUNCODE local runtime on client hardware with configured BYOK API keys
- Configured self-healing test runner integrated with the client's existing test framework
- Multi-agent swarm workflow for a specific delivery task, with shared memory and context snapshots
- Cost tracker dashboard and usage report showing provider spend with zero markup
- Client-facing runbook covering agent logic, API key management, and local infrastructure maintenance
The client's first automated workflow runs end-to-end on AIRUNCODE with self-healing tests passing, cost tracker showing direct provider billing, and the client team able to operate the runbook independently.