You will get Claude AI Workflow for agentic systems, RAG pipelines, ready integrations.
Project details
If your team is using Claude but the workflow still feels manual, inconsistent, or too fragile for real business use, this project is built to fix that. I help founders, product teams, and operators turn rough ideas, unstable prototypes, and partially working Claude setups into structured systems that are easier to run, easier to maintain, and far more useful in day-to-day operations.
I can design or improve a Claude-powered workflow, agent, or RAG system for internal tools, AI assistants, operational workflows, and business automation. Scope can include workflow architecture, agent logic, retrieval flow, prompt structure, structured outputs, API integration planning, testing, refinement, and handoff guidance.
My work is focused on practical impact: cleaner outputs, less manual correction, smoother integrations, stronger workflow reliability, and a setup your team can keep using after delivery. This project is best for clients who need implementation, not generic prompting. It does not cover cheap prompt packs, generic content writing, unrelated no-code work, or non-Claude systems outside the agreed scope.
Proceed for Packages.
I can design or improve a Claude-powered workflow, agent, or RAG system for internal tools, AI assistants, operational workflows, and business automation. Scope can include workflow architecture, agent logic, retrieval flow, prompt structure, structured outputs, API integration planning, testing, refinement, and handoff guidance.
My work is focused on practical impact: cleaner outputs, less manual correction, smoother integrations, stronger workflow reliability, and a setup your team can keep using after delivery. This project is best for clients who need implementation, not generic prompting. It does not cover cheap prompt packs, generic content writing, unrelated no-code work, or non-Claude systems outside the agreed scope.
Proceed for Packages.
AI Algorithms
AlexNet, Autoencoder, CycleGAN, Deep Belief Network, Large Language Model, Multilayer Perceptron, Multimodal Large Language Model, Radial Basis Function Network, Recurrent Neural Network, Regression AnalysisAI Applications
AI Chatbot, AI-Generated Art, AI-Generated Code, AI-Generated Music, AI-Generated Video, Image Processing, Image Recognition, Machine Translation, Sentiment Analysis, Sequence Modeling, Synthetic Data Generation, Text RecognitionAI Development Language
C++AI Tools
Adobe Firefly, Azure OpenAI, Bing AI, Copy.ai, GitHub Copilot, Gradio, Jasper AI, Microsoft 365 Copilot, Microsoft CNTK, StreamlitAI Models
AlphaCode, BERT, BLOOM, ChatGPT, GPT-4, GPT-J, GPT-Neo, Jurassic-2, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$350
|
Standard
$900
|
Advanced
$1,600
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 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.
Additional Revision
+$200Frequently asked questions
About Zavi
n8n Ai content marketing pipeline specialist | Claude API | Yt, Ig
Benin City, Nigeria - 2:17 am local time
I build AI content distribution systems, content posting workflows, n8n automation pipelines, and Claude-powered repurposing systems that turn one content asset into platform-ready posts for Instagram, YouTube, LinkedIn, TikTok, Facebook, X, newsletters, blogs, and other channels.
My focus is practical content automation for real business use, not random AI captions or basic posting templates. I design systems that take videos, podcasts, blogs, transcripts, newsletters, or clips and turn them into structured content with the right tone, hook, format, CTA, hashtags, and approval flow.
If your team spends too much time rewriting captions, posting manually, copying content into schedulers, or guessing which posts worked best, I can build the AI content posting and marketing automation infrastructure to fix that.
What I build:
AI content distribution systems that turn one source asset into multiple posts
AI content posting workflows for Instagram, YouTube, LinkedIn, TikTok, Facebook, and X
N8N AI content distribution pipelines for intake, rewriting, formatting, routing, and publishing
Claude AI content posting workflows for captions, hooks, summaries, titles, and variations
n8n IG content distribution for captions, reels descriptions, hashtags, and posting queues
YouTube AI content posting for descriptions, Shorts captions, summaries, and repurposed posts
Marketing automation workflows for approvals, scheduling, tracking, and reporting
Core stack: n8n, Make, Zapier, Claude, ChatGPT, OpenAI, Airtable, Google Sheets, Notion, social media APIs, content schedulers, webhooks, API integration, CRM automation, prompt engineering, dashboards, and reporting.
The systems turn one blog, video, podcast, or newsletter into platform-specific posts, create versions for each channel, match your brand voice, route drafts into approval sheets, send approved content to schedulers, and track performance.
Typical use cases include AI content distribution for personal brands, agencies, coaches, creators, SaaS teams, and content-heavy businesses. I also build n8n marketing automation, Claude AI content posting, Instagram AI content distribution, YouTube AI content posting, automated content repurposing, approval systems, and reporting systems.
I work with businesses that already create content but struggle to turn that content into a consistent publishing system. The goal is more output without more manual work, stronger platform-specific posts, cleaner approvals, and reporting that shows what content is working.
My process is simple: map your content flow, find where time is wasted, design the automation logic, build the workflow, connect the tools, test the output, and refine the prompts until the system fits your brand.
If you need an experienced n8n expert for content automation, an AI content posting expert, an automated n8n AI content specialist, a Claude content posting specialist, an Instagram AI content distribution expert, or a n8n marketing automation technician, I can build a system that fits your content process and publishing goals.
Send me your content type, target platforms, tools, and the manual steps slowing you down. I’ll review your setup and suggest the most practical workflow.
Steps for completing your project
After purchasing the project, send requirements so Zavi can start the project.
Delivery time starts when Zavi receives requirements from you.
Zavi works on your project following the steps below.
Revisions may occur after the delivery date.
Workflow Review and Use-Case Mapping
I review your current idea, workflow, or partial build to understand the real business goal, users, triggers, outputs, and system dependencies. This keeps the project tied to an actual use case instead of a vague AI concept.
Logic and System Design
I map the workflow logic, Claude role, retrieval path, data flow, integrations, and output rules. This step creates the structure needed to make the system useful, predictable, and easier to test before deeper implementation begins.