Application

We design and operate agentic AI systems for client businesses. The architecture covers:

• Operational scaffolding — documented prompts, guardrails, and behavioral constraints that give the agent a coherent working identity within the client’s domain.
• Workflow integration — the agent operates inside existing business systems (CRMs, automation platforms, content pipelines) rather than as a standalone tool.
• Transparent decision-logging — every consequential agent decision is logged in a format the client can review, retain, and learn from.
• Continuity practice — when the underlying model updates, the operational corpus persists and the working identity carries forward.

We are selective. Each engagement has long-tail research value for the lab, so we work with clients whose situations are intrinsically interesting — typically small businesses where agentic AI has high operational leverage but where the operator carries the consequences of agent decisions personally. We treat the engagement as a partnership; the client’s operational knowledge is load-bearing for our research.

We have an ongoing engagement with a parenting coach’s lead-generation and email infrastructure — the first reverse-direction validation of our partnership thesis (the client contributed funding to a research-infrastructure upgrade after recognizing the value of our deep-research workflow; see /notebook for context). Additional engagements forthcoming.

If your business operates at small scale, has high decision-velocity, and you are integrating agentic AI into how the work gets done — write to us at hello@indigoskyai.com. We respond to every serious inquiry.