You will get n8n AI workflows that automate busywork (with human approval when needed)
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Project details
I build reliable n8n automations that use AI to triage, summarize, extract, and draft—without turning into an endless custom software project.
Common outcomes:
• Inbox/task triage and daily digest
• PDF/document → structured summary + action items
• Form/submission → CRM-ready draft + notifications
• Human-in-the-loop approvals for sensitive actions
You’ll get clear scope, test cases, basic monitoring guidance, and documentation so the workflows are maintainable.
What I need from you to start
• Access to n8n (cloud or self-hosted) or a new workspace
• Access/API keys for the tools involved (Gmail, Slack, HubSpot, Drive, etc.)
• 3–5 real examples (emails/docs/forms) to test against
• Your “done definition” (time saved, fewer manual steps, etc.)
Important Limitations & Scope:
*N8N Application Support: This service does not include training or support for building or debugging n8n workflows.
*Custom Integrations: Complex setups are not covered.
Please consider the following limitations of systems for each tier:
• Starter: 1 workflow, max 2 external apps
• Standard: 2 workflows, max 3 external apps total
• Advanced: 3 workflows, max 4 external apps total + 1 heavier integration
Common outcomes:
• Inbox/task triage and daily digest
• PDF/document → structured summary + action items
• Form/submission → CRM-ready draft + notifications
• Human-in-the-loop approvals for sensitive actions
You’ll get clear scope, test cases, basic monitoring guidance, and documentation so the workflows are maintainable.
What I need from you to start
• Access to n8n (cloud or self-hosted) or a new workspace
• Access/API keys for the tools involved (Gmail, Slack, HubSpot, Drive, etc.)
• 3–5 real examples (emails/docs/forms) to test against
• Your “done definition” (time saved, fewer manual steps, etc.)
Important Limitations & Scope:
*N8N Application Support: This service does not include training or support for building or debugging n8n workflows.
*Custom Integrations: Complex setups are not covered.
Please consider the following limitations of systems for each tier:
• Starter: 1 workflow, max 2 external apps
• Standard: 2 workflows, max 3 external apps total
• Advanced: 3 workflows, max 4 external apps total + 1 heavier integration
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Content Creation, AI Text-to-Image, AI-Enhanced Classification, AI-Generated Art, AIOps, Conversational AIAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Microsoft 365 Copilot, Microsoft CNTK, NVIDIA AI Platform, PyTorch, Replit, StreamlitAI Models
ChatGPT, DALL-E, GPT-4, GPT-J, LaMDA, Stable DiffusionWhat's included
| Service Tiers |
Starter
$400
|
Standard
$900
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 15 days |
Number of Revisions | 3 | 5 | 7 |
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.
Additional Revision
+$30Frequently asked questions
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About Danilo
AI Systems Architect | Cloud, Automation & Technical PM.
100%
Job Success
Miami, United States - 10:21 am local time
I help companies move from AI curiosity to real business impact, by selecting the right models, designing practical use cases, and delivering production-ready solutions.
I turn product vision into secure, scalable AI systems, and organizational chaos into structured, measurable execution.
🏆 Expert-Vetted by Upwork | ☁️ AWS-certified | 🎓 Master’s in Engineering Management | 🚀 10+ years delivering cloud and AI systems
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🔍 What I bring
🧠 AI Strategy & LLM Evaluation
I evaluate and benchmark LLMs (Claude, ChatGPT, Gemini, and open-source models like Kimi, MiniMax) based on cost, performance, and real business use cases.
I help teams select the right model and architecture — not just the most popular one.
🏢 AI Adoption & Team Enablement
I set up and operationalize tools like Claude for Teams / ChatGPT Enterprise, including plugins, connectors, and MCP-based workflows.
Focus: real adoption, governance, and measurable productivity gains across teams.
⚙️ AI Pilots & Business Use Cases
I design and deliver targeted AI pilots (2–6 weeks) for specific business functions:
– Sales automation
– Internal knowledge assistants (RAG)
– Document processing
– Workflow automation
Using official APIs (OpenAI, Anthropic, Google) or OpenRouter when flexibility is needed.
🤖 AI/LLM Engineering & MLOps
Hands-on with RAG systems, fine-tuning, inference pipelines, and observability.
Stack includes: Bedrock, SageMaker, Vertex AI, LangChain, LangGraph, vector DBs.
☁️ Cloud & Infrastructure
Production deployments on AWS and GCP: IAM, VPCs, CI/CD, serverless, containers, monitoring, secure data pipelines.
📊 Product & Delivery Leadership
I own delivery end-to-end: clear scope, timelines, stakeholder alignment, and predictable execution.
No scope creep. No black-box development.
🔄 Automation & Tooling
n8n, workflow orchestration, API integrations, AI-assisted pipelines.
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🚀 Selected recent work
📌 AI Adoption Enablement — Marketing Agency
Set up ChatGPT Enterprise workflows, defined usage guidelines, trained teams, and implemented repeatable AI processes across departments.
📌 LLM Opportunity Analyzer
Built a full-stack platform to evaluate and prioritize business opportunities using Gemini + AWS models, with structured outputs and decision support.
📌 RAG Systems for Internal Knowledge
Designed and deployed document intelligence systems using vector databases and LLM orchestration.
📌 AI + CRM Integration
Integrated AI into Salesforce, HubSpot, and Pipedrive, including data preparation, prompt structuring, and workflow automation.
📌 Automation Pipelines (n8n)
Built end-to-end workflows combining APIs, LLMs, and dashboards for decision-making.
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🧩 Services I offer
• AI Strategy & LLM Selection
→ Model evaluation, architecture decisions, ROI-focused roadmap
• AI Pilot (2–6 weeks)
→ Design + deploy a working AI use case for your business
• Technical Product Management
→ Lead your AI/cloud initiative end-to-end
• Cloud & AI Architecture
→ Production-ready infrastructure with security and scalability
• Fractional CTO / AI Advisor
→ Ongoing strategic and technical guidance
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🤝 Availability & working style
Based in Miami, FL (EST). I work closely with founders and teams through short discovery sessions, then deliver a clear execution plan with fast iterations.
If you're exploring AI but want to do it right (not just fast) feel free to reach out.
Steps for completing your project
After purchasing the project, send requirements so Danilo can start the project.
Delivery time starts when Danilo receives requirements from you.
Danilo works on your project following the steps below.
Revisions may occur after the delivery date.
Intake & Scope Lock
Confirm goals, tools, and success criteria. Review sample inputs and define workflow boundaries (what it will and won’t do). This prevents scope creep and sets the “done” definition.
Build & Configure Workflows
Implement the n8n workflow(s): triggers, AI steps (summarize/classify/extract/draft), and integrations within tier limits. Add human approval gates where required.