You will get Optimized, QA & Stable Production GenAI Workflow
Project details
You will get a focused, production-ready optimization of your existing GenAI workflow — designed to improve reliability, consistency, and trust without rebuilding everything from scratch.
Many GenAI workflows technically “work,” but fail in production due to inconsistent outputs, edge cases, unclear logic, or excessive manual intervention. This service is built for teams that already have a live or near-live workflow and need it to behave predictably under real conditions.
I specialize in prompt logic optimization, decision flow fixes, edge-case handling, and QA stress testing for production GenAI systems. Instead of experimenting or retraining models, I focus on practical, high-impact improvements that stabilize behavior and reduce operational risk.
You’ll receive optimized prompts and logic, clear explanations of what was fixed and why, and concrete guidance to keep the workflow stable going forward. The scope is fixed, timelines are short, and the outcome is actionable — not theoretical.
This is not a full rebuild or R&D project. It’s a production-focused intervention designed to restore confidence in workflows that already exist but don’t work as well as they should.
Many GenAI workflows technically “work,” but fail in production due to inconsistent outputs, edge cases, unclear logic, or excessive manual intervention. This service is built for teams that already have a live or near-live workflow and need it to behave predictably under real conditions.
I specialize in prompt logic optimization, decision flow fixes, edge-case handling, and QA stress testing for production GenAI systems. Instead of experimenting or retraining models, I focus on practical, high-impact improvements that stabilize behavior and reduce operational risk.
You’ll receive optimized prompts and logic, clear explanations of what was fixed and why, and concrete guidance to keep the workflow stable going forward. The scope is fixed, timelines are short, and the outcome is actionable — not theoretical.
This is not a full rebuild or R&D project. It’s a production-focused intervention designed to restore confidence in workflows that already exist but don’t work as well as they should.
AI Algorithms
Feedforward Neural Network, Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI-Generated Code, AIOps, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Microsoft 365 Copilot, Replit, StreamlitAI Models
ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$650
|
Standard
$1,400
|
Advanced
$2,400
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 3 |
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 | - | - | - |
Optional add-ons
You can add these on the next page.
Apply fixes to additional workflow
(+ 2 Days)
+$450
Stakeholder Walkthrough & Q&A
(+ 1 Day)
+$300Frequently asked questions
About Maca
Applied AI Operator building GenAI workflows teams actually use
Santiago, Chile - 11:02 am local time
I’m not an ML engineer and I don’t do research or experiments.
I work as an Applied AI Automation & Workflow Builder, focused on execution, adoption, and real operational results.
What I do
- Design end-to-end GenAI workflows (intake → reasoning → output → logging)
- Orchestrate tools like Make, Zapier, Google Workspace, APIs, Wix Velo
- Implement QA, guardrails, and templates so workflows don’t break or get abandoned
- Translate business needs into working AI systems for non-technical stakeholders
Typical problems I help solve:
- Too much manual coordination and back-and-forth
- AI ideas that never make it into daily operations
- Processes that are slow, error-prone, or depend on one person
- Teams overwhelmed by tools but lacking usable systems
Proof of work:
1/ ADA — AI-Assisted Workflow System
Designed and implemented a full production GenAI workflow:
onboarding → structured intake → AI reasoning → QA → WhatsApp delivery → logging & metrics
Stack: Wix Velo, Make, Google Workspace, LLMs
Impact: faster turnaround time, reduced manual coordination, real user adoption
I work best with early-stage to mid-stage teams that need things built fast, clean, and usable — without heavy infrastructure or ML pipelines.
If you’re looking for AI that actually runs inside your operation, we’ll work well together.
Steps for completing your project
After purchasing the project, send requirements so Maca can start the project.
Delivery time starts when Maca receives requirements from you.
Maca works on your project following the steps below.
Revisions may occur after the delivery date.
Intake & workflow review
Review of the existing workflow, tools, prompts, logic, and known failure points.
QA & stress testing
Identify inconsistencies, edge cases, brittle logic, and sources of unreliable outputs.