Ship the AI feature your product is missing.

AI assistants, document processing, and workflow automation for product and operations teams. Connected to your existing software, tested on real inputs, and shipped with a clear handoff.

Bring your product and one workflowScope your AI feature

From your existing product to a working AI feature

Feature scope Documents Integrations Applied AI Release

FOR PRODUCT TEAMS

You have users, a codebase, and a workflow that could be better. You need someone to own the feature—from the first sample input to a dependable release. I work directly with your team, inside your existing product and tools.

ONE FOCUSED ENGAGEMENT

Improve the workflow.
Connect the tools.

EXAMPLE WORKFLOWQuestion → Sources → AnswerInside your product

AI Product Integration

Add an assistant, knowledge search, or inline AI tools to your software, with real-input evaluations, permissions, and a production release.

EXAMPLE WORKFLOWDocument → Extract → ReviewInto structured records

Document AI & Extraction

Turn incoming PDFs, forms, and emails into structured records your team can review and use.

EXAMPLE WORKFLOWTrigger → Prepare → ApproveAcross your business tools

AI Workflow Automation

Connect your inbox, CRM, and internal tools so repetitive work moves from intake to a reviewed action.

Works with your stack

Design files, repositories, builds, and updates stay inside the tools you already use.

Collaborate in real time

A shared channel, weekly demos, and async video updates keep you inside the build.

Product workshopWeekly demosAsync video updatesShared design fileEvaluation reportsRelease support

PRODUCTS BUILT BY TARUN

The engineering
behind the offer.

Independent products that show the workflows and release systems I build.

Murmur

Turn long-form text, PDFs, and EPUBs into natural audio on Apple Silicon using local models, a native studio, CLI, and MCP tools.

Read the macOS case study ↗

AudioPage

An offline-first iPhone reader for articles, PDFs, EPUBs, notes, links, scans, and images, with local speech and document-aware AI.

Read the iOS case study ↗

EchoText

Private system-wide dictation for Mac with local speech recognition, a global shortcut, and controlled on-device history.

Read the macOS case study ↗

HOW IT WORKS

One workflow.
A clear path to release.

Define one useful feature

Bring your product, the user workflow, and sample inputs. We agree on scope, acceptance checks, and the release plan before implementation.

Build inside your product

I connect the feature to your interface, data, and backend. Weekly demos make quality, failure cases, and integration decisions visible.

Ship and keep improving

We check real examples, latency, cost, and recovery before release. Ongoing maintenance and model updates can be scoped separately.

WHO YOU WORK WITH

Your product stays with one accountable builder.

I’m Tarun, the engineer behind RocketMVP. I build and maintain independent products including Murmur, AudioPage, and EchoText. For your team, I connect AI to a defined business workflow—from interface and data integration to evaluation and release.

Read my story

Tarun Yadav, founder and product engineer at RocketMVP

Tarun YadavFounder, RocketMVP

DirectOne builder, first call to release

End to endStrategy, design, code, distribution

FocusedOne feature, clear acceptance checks

ALREADY HAVE A PROTOTYPE?

Get it ready for real users.

Bring the feature that works in a demo but fails on real inputs. We can scope a production readiness sprint around output quality, permissions, recovery, latency, and inference cost.

Explore AI product integration

ENGINEERING NOTES

How we make product
and engineering decisions.

Agent engineering · 9 min

How to scope an AI workflow agent with permissions and evals

Define the task, permitted actions, test cases, and human review before choosing how much the system can do on its own.

07 August 2026

Browse all notes

Every decision, checklist, and workflow from the studio—published in the open.

All engineering notes

FAQS

Questions before
we start.

Do we need an existing product?

This offer is for teams with an existing product or working prototype, a defined user workflow, and access to the code and data needed for integration. Bring representative examples so we can agree on what a successful feature must do.

How are price and timeline agreed?

After reviewing your product, sample inputs, and integration constraints, I propose a scoped fee, timeline, acceptance checks, and handoff. Model usage and third-party services are identified separately. Ongoing support is a separate scope.

What should we bring to the first call?

A walkthrough of the current process, representative inputs, the tools involved, and the result you need. We agree the scope, timeline, fee, and acceptance checks before implementation.

Does this replace human review?

The first release prepares results for review. We test failures and permissions before considering any unattended actions. Model usage, third-party costs, and ongoing maintenance are scoped separately.

Which workflow
needs to work better?

Bring a product link, sample inputs, and the feature you want to ship. I’ll help define a focused first engagement.

Scope your AI feature