You will get quality checks for your AI prompt to reduce errors and rework

Name: You will get quality checks for your AI prompt to reduce errors and rework
Availability: InStock

Novi S.

Novi S.

Project details

If your AI output looks “almost right” but keeps missing details, the issue is usually not the model — it’s the lack of quality control.

This service adds a practical quality-check step directly inside your AI prompt, so the AI reviews its own output before responding. This reduces omissions, shallow answers, and rework without adding complexity.

I am a software engineer by background and the creator of the S-File, a structured format for guided AI interactions used to improve reliability, clarity, and repeatability when working with AI systems. My work focuses on applying quality-assurance and acceptance-criteria principles from software and systems design to real AI usage.

This is not prompt rewriting for creativity or style. It is a controlled, reliability-focused upgrade designed to make AI outputs more consistent and predictable in business contexts.

Best suited for content, research, summaries, reports, and internal documentation where accuracy and completeness matter more than experimentation.

AI Algorithms

Large Language Model

AI Applications

AI Chatbot, Anomaly Detection, Conversational AI

AI Models

ChatGPT

What's included

Service Tiers	Starter $79	Standard $139	Advanced $179
Delivery Time	2 days	3 days	4 days
Number of Revisions	2	4	6
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	-	-	-

About Novi

AI Interactions Designer | Software Engineer

London, United Kingdom - 11:03 pm local time

I am an AI Interactions Designer and senior software engineer with over 15 years of experience designing, building, integrating, and coordinating production web systems.

My current specialization is AI systems design: structuring AI interactions so they behave reliably, consistently, and usefully in real work, not just demos or experiments. I approach AI as a system to be engineered, not a collection of clever prompts.

I am the creator of the S-File, a structured format for guided AI sessions that applies software engineering principles—explicit inputs, clear constraints, validation steps, and repeatable execution—to AI interactions. The goal is to turn AI from a “chatty tool” into a dependable component of professional workflows.

Before focusing on AI systems, I spent more than a decade as a full-stack web developer, primarily working with PHP and JavaScript. I have designed and maintained production systems with long lifespans, real users, and real operational constraints.

My background includes the following areas of work:

- Custom web applications using PHP and Laravel
- WordPress and Moodle platforms
- API design and third-party integrations
- Linux and cloud-hosted environments
- Performance, security, and maintainability of live systems

In parallel, I have significant experience in software and data integration, particularly in environments where systems must stay in sync over time.

This includes work with:

- CRM and nonprofit platforms such as Blackbaud CRM
- Data synchronization tools such as Brightvine Data Link
- Automation and iPaaS tools including Zapier and Power Automate
- Custom API-based integrations between web applications and external systems

This integration experience strongly informs how I design both AI and web systems. I focus on data flow, failure modes, validation, and long-term reliability, not just getting something to work once.

As a result, I often work in advisory, coordination, and systems-design roles. Typical engagements include:

- Technical project discovery and requirements definition
- Web architecture and stack advisory (PHP-centric)
- Technical coordination and delivery oversight
- Legacy web system and integration assessments
- Data integration and automation planning
- AI integration planning for web applications using APIs

Across all of this work, my approach is consistent: clarity over cleverness, structure over guesswork, and outcomes over hype. I help teams reduce risk by defining scope, making trade-offs explicit, and designing systems that behave predictably under real-world conditions.

I typically work with founders, teams, and organizations who need technical clarity before building or scaling, are integrating multiple systems and data sources, want AI embedded into real workflows rather than prototypes, and value predictable delivery with well-defined responsibilities.

If your goal is to make AI, integrations, and web systems practical, predictable, and productive in real operations, I can help you design and deliver systems you can rely on.

Steps for completing your project

After purchasing the project, send requirements so Novi can start the project.

Delivery time starts when Novi receives requirements from you.

Novi works on your project following the steps below.

Revisions may occur after the delivery date.

Intake and confirmation

I review your prompt(s), the AI tool you’re using, and your target output. I confirm intended outcome.

Failure-mode scan

I identify the most likely causes of errors or inconsistency