M3
MILEYM3DIA CREATIVE PRODUCTION
AI & Automation // CASE STUDY

PromptRig

CLIENT: ROUTINEHUB // INTERNAL
YEAR: 2026
SPECS: iOS AUTOMATION // TEXT ENGINE // ROUTINEHUB API

Overview

PromptRig is an offline-first mobile utility engineered for iOS that translates fragmented thoughts, mobile voice memos, and raw keyword strings into calibrated, production-ready prompts for generative AI models.

The Problem

Mobile prompt generation suffers from high friction: soft keyboards make composing complex system instructions, formatting parameters, and style modifiers tedious. Most users revert to raw, uncalibrated inputs, yielding low-fidelity model outputs.

Architecture & Execution

  • Modular Multi-Engine Routing: Developed an isolated three-branch pipeline handling sonic generation (Suno/Udio), generative image parameters (Midjourney v6 / FLUX.1), and LLM system role specifications.
  • Zero-Latency Text Parsing: Structured local array extraction using newline delimiters and dynamic variable injection to format multi-line tokens instantly without external server latency.
  • Native OS Integration: Hooked directly into iOS Share Sheet, native system clipboard management, and Quick Look preview layers for single-tap output inspection.
  • Freemium Distribution Model: Packaged and deployed as a publicly indexed utility on RoutineHub, architected to support future Gumroad license key validation via HTTP REST endpoints.

Key Takeaway

Demonstrates scalable native mobile automation, practical text token chaining, and utility productization without requiring third-party runtime frameworks.

PRODUCTION DELIVERABLES COMPLETED

Modular Prompt Engineering iOS Suite & Public Deployment