You will get a custom AI Brand Voice and Content Generation Engine
Project details
Scaling high-quality content production is a major bottleneck for modern marketing teams. The Ghostwriter Engine is a production-ready Python application designed to transform raw transcripts, brain-dumps, and rough notes into highly structured, brand-aligned editorial drafts.
Built with advanced NLP and recursive AI architecture, the engine strictly enforces your custom persona parameters (Target Audience, Tone of Voice, and Length Constraints). It dynamically bridges generated text chunks to hit exact constraints without hallucinating or falling into repetitive echo chambers.
The final deliverable is a fully functional UI that allows your team to generate, review, and export thought leadership and actionable frameworks directly to CSV, TXT, or social platforms. It is a precision productivity multiplier for your original ideas.
Built with advanced NLP and recursive AI architecture, the engine strictly enforces your custom persona parameters (Target Audience, Tone of Voice, and Length Constraints). It dynamically bridges generated text chunks to hit exact constraints without hallucinating or falling into repetitive echo chambers.
The final deliverable is a fully functional UI that allows your team to generate, review, and export thought leadership and actionable frameworks directly to CSV, TXT, or social platforms. It is a precision productivity multiplier for your original ideas.
AI Algorithms
Large Language ModelAI Applications
Natural Language GenerationAI Development Language
PythonAI Tools
StreamlitAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$750
|
Standard
$1,250
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | |||
Source Code |
Frequently asked questions
About Jeremy
AI Solution Architect | Rapid MVP & Cursor Specialist
Lat Lum Kaeo, Thailand - 12:56 am local time
My focus is on Fixed-Price, milestone-based projects. You pay for the completed solution, not my hours. This ensures you get maximum value and a working product while I handle the technical heavy lifting at lightning speed. Let's build your next integration or product today.
Steps for completing your project
After purchasing the project, send requirements so Jeremy can start the project.
Delivery time starts when Jeremy receives requirements from you.
Jeremy works on your project following the steps below.
Revisions may occur after the delivery date.
Context & Architecture Review
I will review your typical source material types, target audience profiles, and brand voice guidelines to ensure the prompt architecture aligns perfectly with your content strategy.
Engine Configuration & NLP Tuning
I will configure the Python codebase and fine-tune the recursive generation logic to match your specific constraints, brand tone, and desired output formats.