You will get A production AI agent trained on your own knowledge base

Douglas R.Status: Offline
Douglas R.

Let a pro handle the details

Buy Generative AI services from Douglas, priced and ready to go.
Douglas R.Status: Offline
Douglas R.

Let a pro handle the details

Buy Generative AI services from Douglas, priced and ready to go.

Project details

You know AI could help your operation. You don't know where to start, what's realistic, or what it would cost.

I'll map your current process, identify where AI agents genuinely fit, and give you an implementation roadmap with effort estimates — so you can decide with real information instead of vendor promises.

What you get: a process map, a prioritized list of automation opportunities ranked by impact and effort, a proposed architecture for the top opportunity, realistic savings estimates, and a written report with a 5-minute recorded walkthrough.

I build production AI systems for a living — multi-agent architectures, RAG applications and workflow automation. This audit is the same analysis I run before building my own systems, applied to yours.

Delivered in 5 business days. Fully async, no meetings required.
AI Algorithms
Large Language Model, Transformer Model
AI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language Understanding
AI Development Language
Python
AI Models
ChatGPT, GPT-4, Whisper
What's included
Service Tiers Starter
$500
Standard
$1,200
Advanced
$2,500
Delivery Time 5 days 7 days 10 days
Number of Revisions
122
AI Model Integration
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Batch Normalization
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Database Integration
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Detailed Code Comments
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Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
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Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
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NLP Tokenization
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Pre-Training
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Prompt Engineering
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Setup File
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Source Code
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Optional add-ons You can add these on the next page.
Additional Revision
+$150

Frequently asked questions

Douglas R.Status: Offline

About Douglas

Douglas R.Status: Offline
AI Engineer | Multi-Agent Systems, RAG & Workflow Automation
Sao Jose dos Pinhais, Brazil - 1:32 pm local time
I build AI systems that reach production — not prototypes.

Working solo, I've shipped: an AI agent hub with four specialized agents running in production for an editorial team; a diagnostic engine that cross-references five federal datasets to score risk across 5,570 municipalities in under five seconds; a generation-and-audit system for public procurement documents; and a project board that updates itself from voice input, with zero manual transcription.

The pattern across all of them: I turn messy human input — conversation, audio, scattered data — into structured, auditable output.

WHAT I DO

- Multi-agent architectures with human approval gates
- RAG applications over your own knowledge base (Supabase/pgvector)
- LLM orchestration and prompt engineering (Claude, OpenRouter)
- Workflow automation (n8n, webhooks, API integrations)
- Document generation and audit pipelines

STACK

Python · FastAPI · TypeScript · Next.js · PostgreSQL · Supabase/pgvector · Claude API · OpenRouter · n8n · Vercel

HOW I WORK

Human approval on anything AI-generated that leaves your company. Every output traceable to its source. Multi-tenant isolation, agent versioning, and per-model cost governance built in from the start — because AI cost is the variable that kills margins.

I work async-first: written specs before we start, written progress updates, and recorded video walkthroughs at each milestone. You get more documentation than you would from a synchronous developer, not less. My spoken English is limited; my written and technical English is strong. If your project needs daily live calls, I'm not your best fit — if it needs someone who documents thoroughly and delivers on scope, I am.

BEFORE ENGINEERING

I spent 10 years as CEO of a B2B services company with roughly 400 active clients. I understand cost, margin, and deadlines — not just architecture.

Based in Brazil (GMT-3). Available for overlap with US and European business hours.

Steps for completing your project

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

Delivery time starts when Douglas receives requirements from you.

Douglas works on your project following the steps below.

Revisions may occur after the delivery date.

Review and clarifying questions

I review everything you sent and reply with written questions to close any gaps. You answer in writing — no meeting needed.

Process mapping and opportunity analysis

I map how the work flows today, identify where AI agents genuinely fit, and rank the opportunities by impact and effort.

Review the work, release payment, and leave feedback to Douglas.