AI-Native Software, End-to-End.

An independent product studio shipping real software — from discovery through deployment — using AI-native workflows refined with every build. Progressed rapidly from simple tools to polished, sophisticated apps — tighter iteration loops with each project as the workflow and underlying models improve.

Built on custom agent orchestration, composable skills, and CLI-driven workflow automation — iterating on context engineering, multi-agent coordination, and parallel execution to push what one engineer can ship at production quality.

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    Datamural

    Data in, infographic out. Paste CSV or JSON, describe what you want to show, and get a web-native Data Mural you can share with a single link — responsive, embeddable, rich previews on every platform. Every number matches your source data — no hallucination.

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    Personal Finance Tracker

    Connects to real bank and credit card accounts, delivers AI financial briefings, and supports conversational follow-ups about your spending. All data stays local — nothing leaves your machine. Every number comes from deterministic computation; the AI adds narrative and insight, never arithmetic.

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    Every product ships through a deliberate operating model — not ad hoc prompting. Here's how AI-augmented engineering systems work across the full product lifecycle.

    AI Agentic Development

    100% built using agentic workflows. Custom AI agents with defined roles cover the full lifecycle — from discovery and architecture through implementation, QA, and deployment. Each agent operates within clear boundaries with explicit quality gates.

    Context Engineering

    Continuous iteration on how to structure context, coordinate agents, and maintain quality at every decision boundary. The real leverage comes from coordination patterns and context design — not better prompts.

    Solo OS

    CLI-driven workflow automation that keeps execution disciplined across repos and projects. Daily triage, build loop orchestration, managed worktrees, and GitHub Projects integration — so nothing falls through the cracks.

    Governance & Quality

    Structured build loops with Checkpoint A (intake), B (release gate), and C (learning). Risk-tiered validation, explicit release decisions, and captured learning after every cycle. Not "vibe coding" — disciplined engineering with AI acceleration.

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    ScoopedOut Studios is an independent product studio built by Rohit Nandwate — one engineer building AI-native software end-to-end. The goal: find real problems, build useful products, and continuously evolve how human-AI collaboration works across the full product lifecycle.

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    Open to collaborations, early access testers, and conversations with builders.