You will get AI Marketing Workflow Setup
Top Rated

Project details
You will get a Marketing workflow, Rag chatbot, or Seo Automation. The project can be finished in 17 days or so. The number of revisions is 3
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Generated Video, Conversational AI, Image Processing, Speech SynthesisAI Development Language
PythonAI Tools
Copy.ai, GitHub Copilot, Hugging Face, Jasper AI, StreamlitAI Models
ChatGPT, GPT-3, GPT-4, WhisperWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 17 days | 17 days | 17 days |
Number of Revisions | 3 | 3 | 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 | - | - | - |
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BE
Bear E.
Apr 19, 2026
Carrd Website Build + Stripe & Typeform Integration (Clean, Premium Design), MailerLite
Nazik was very helpful. I am not technically savvy and she made it easier for me to understand and was patient with me. She did an excellent job, worked efficiently and stayed in constant communication. I will hire her again when I need help for my next job.
DD
David D.
Mar 31, 2026
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Justin K.
Aug 11, 2025
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Nathan G.
Jul 15, 2025
Notion workspace Setup experienced freelancer
It was great working with this freelancer. Thanks for helping out with my Notion workspace and project management. Will hire again.
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Stepan M.
May 9, 2025
Set up 6 buttons in Notion according to the instructions/Создать 6 кнопок в Notion по инструкции
About Nazik
AI Workflow Architect Marketing Operations RAG LLM Automation
100%
Job Success
Philadelphia, United States - 6:25 pm local time
can't ship a RAG pipeline. I do both — and that combination is what separates
production AI from prompt demos.
Five years scaling premium media — ELLE Kazakhstan and Harper's Bazaar
Kazakhstan to 500K+ monthly visitors, 185% daily traffic growth, page speed from
46 to 96 on Core Web Vitals. Now I build AI workflows for marketing teams who
need production tools, not strategy decks.
What I build:
— RAG systems over your marketing data (helpdesk, sales calls, product docs) for
personalized email and chat
— n8n and Make workflows connecting your stack to LLMs (Claude API
primary)
— AI agents for content generation, briefing, A/B test ideation, internal tools
— Productionized chatbots and assistants that work at scale, not just in
spreadsheets
Stack I use daily: Claude (API + Code), n8n, LangChain, Pinecone, HubSpot,
Klaviyo. Marketing fundamentals are not bolted on — they're embedded in
architecture decisions from day one.
Best fit:
— Growth-stage SaaS or D2C, 10-50 employees
— Head of Growth needs AI tools but engineering is 6 months out
— You have data you're not using and want it productized
— Project budget $1,500-6,000 fixed or 40-100 hour engagements
Not a fit:
— Pre-seed teams without revenue or data
— "AI strategy decks" requests
— Generic chatbot builds under $500
Most freelancers building AI workflows can't read a CAC chart. Most marketers
can't ship a RAG pipeline. I do both — and that combination is what separates
production AI from prompt demos.
Five years scaling premium media — ELLE Kazakhstan and Harper's Bazaar
Kazakhstan to 500K+ monthly visitors, 185% daily traffic growth, page speed from
46 to 96 on Core Web Vitals. Now I build AI workflows for marketing teams who
need production tools, not strategy decks.
What I build:
— RAG systems over your marketing data (helpdesk, sales calls, product docs) for
personalized email and chat
— n8n and Make workflows connecting your stack to LLMs (Claude API
primary)
— AI agents for content generation, briefing, A/B test ideation, internal tools
— Productionized chatbots and assistants that work at scale, not just in
spreadsheets
Stack I use daily: Claude (API + Code), n8n, LangChain, Pinecone, HubSpot,
Klaviyo. Marketing fundamentals are not bolted on — they're embedded in
architecture decisions from day one.
Best fit:
— Growth-stage SaaS or D2C, 10-50 employees
— Head of Growth needs AI tools but engineering is 6 months out
— You have data you're not using and want it productized
— Project budget $1,500-6,000 fixed or 40-100 hour engagements
Not a fit:
— Pre-seed teams without revenue or data
— "AI strategy decks" requests
— Generic chatbot builds under $500
What's next — invite me to your job, send a message describing your problem, or
book a paid consultation if you want to think through the approach
Steps for completing your project
After purchasing the project, send requirements so Nazik can start the project.
Delivery time starts when Nazik receives requirements from you.
Nazik works on your project following the steps below.
Revisions may occur after the delivery date.
1 Discovery call
We determine the scope of the project during a discover call, You send me all necessary data on your project. I start working and update you weekly.