You will get a multi-step AI pipeline with a self-review step for your workflow
Project details
You'll get a multi-step AI pipeline that doesn't just generate output, it checks and revises its own work before it reaches anyone. I build the stages (generate, critique, refine) and wire them into your existing stack. That self-review step is the difference between an impressive demo and a result you can trust. I shipped this exact pattern for a client and it cut their strategy prep from 2-3 days to about 20 minutes per lead. Keys stay server-side, runs are logged, and you get a clear handover, a running system rather than a notebook.
AI Algorithms
Transformer ModelAI Applications
Natural Language Generation, Natural Language UnderstandingAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$600
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 10 days | 18 days | 28 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 | - | - | - |
About Nicholas
Applied AI Architect | Workflow Automation & RAG
Silves, Portugal - 12:28 pm local time
Recent work includes a three stage AI process that reduced strategy preparation from two or three days to around 20 minutes per prospect, a production retrieval system with embeddings and longitudinal user history, and an automated lead intelligence pipeline covering more than 1,000 businesses.
I handle discovery, architecture, implementation, testing and handover. Typical projects connect OpenAI or Claude with Make, webhooks, databases, CRMs and custom interfaces. My stack includes Supabase, PostgreSQL, pgvector, JavaScript, TypeScript, Astro, Netlify, Cloudflare, ActiveCampaign and GA4.
My background as a cybersecurity company cofounder shapes how I work. Output quality, privacy, access control, failure modes and operating costs are part of the build from the start.
A focused first engagement can begin with a 48 Hour AI Workflow Sprint. We choose one recurring task, create a functional prototype and document the route to production.
Send me the workflow, the tools involved and the result you want. I will outline a practical first scope.
Steps for completing your project
After purchasing the project, send requirements so Nicholas can start the project.
Delivery time starts when Nicholas receives requirements from you.
Nicholas works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & pipeline design
We map your workflow and define what good output means. I design the stages (generate, critique, refine) and the self-review rules.
Build, wire & handover
I build the pipeline, connect it to your tools, add logging and guardrails, then install it in your stack with a short walkthrough.