AchLabo

Expertise in Web, Security & AI Engineering

Full-Autonomous Web Factory:Market-Driven Tool Production via Local LLM & Web Search

Full-Autonomous Web Factory:Market-Driven Tool Production via Local LLM & Web Search | AchLabo

Autonomous Web Factory: Self-Evolving Development Pipeline via Market Demand Extraction and Local LLM Orchestration

This is a cutting-edge, fully autonomous “AI App Factory” system powered by a local LLM (Gemma 4 26b). Unlike conventional tools that require manual prompting, this system autonomously scrapes web search trends to identify market needs, formulates tool concepts, and executes the entire development lifecycle—from coding to deployment. By eliminating human intervention, it enables the 24/7 mass production of production-ready web assets driven by real-time data.

1. Market-Driven Autonomous Planning (Zero-Prompt Engine)

The system utilizes a proprietary search grounding module to extract high-demand keywords and user pain points from the web. Instead of relying on user input, the AI autonomously generates its own development prompts based on identified market gaps. This allows for the creation of tools that are inherently optimized for SEO and actual user utility from the moment of conception.

2. Multi-Agent Collaborative Development & Verification

Once a concept is finalized, the system orchestrates specialized AI agents acting as Planner, Architect, and Engineer. The pipeline generates comprehensive database schemas, PHP backend logic, and responsive CSS in a coordinated flow. Following code generation, an automated “Verification Agent” performs real-time HTTP status checks and rendering tests to ensure the application is fully functional.

3. Self-Healing Logic & Recursive Error Correction

We implemented a robust “Self-Healing” mechanism that automatically detects and fixes errors. If the system identifies syntax issues (via PHP linting) or rendering failures, the AI agent recursively analyzes the error logs and re-generates the corrected code. This loop ensures that only 100% bug-free applications are deployed to the production environment.

4. Privacy-Centric Edge Infrastructure

To maximize security and minimize operational costs, all inference processes are executed on a local home server environment (NUC/Ubuntu) using Docker and Ollama. By utilizing local LLMs for the entire development cycle, the system avoids third-party API dependencies and keeps proprietary business logic entirely within a secure, private network.

Estimated Pricing & Lead Time (Full-Autonomous Development Package)
Market Analysis & Autonomous Prompt Generation Design $650.00
Autonomous Multi-Agent Pipeline (Planning/Coding/UI) $950.00
Self-Healing & Quality Assurance (Testing & Correction) $485.00
Automated Deployment & Permission Management System $350.00
Infrastructure Setup (Docker / Ollama / Local Opt.) $300.00
Total Estimate (Tax Incl.) $2,735.00
Estimated Turnaround Approx. 200 hours

【Core Responsibilities】

  • Autonomous Agent Design: Creating market-driven prompt generation algorithms using search data.
  • Quality Engineering: Implementing recursive self-correction loops for automated debugging.
  • Deployment Orchestration: Automating the transition from raw code to live production environments.
  • System Architecture: Designing scalable local inference foundations to support 24/7 tool production.

【Tech Stack】

Gemma 4 26b (Local LLM) / Python 3.x / PHP 8.x / Google Search API / Ollama / Docker / FastAPI / PM2 / Shell Scripting / Automatic Permission Controller

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