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Budget: 1000 USD Deadline: 10 days

I worked on poseidon.codezerogroup.com — an enterprise Python/React platform with process automation and API integrations. I will apply the same modular approach here.

The key in such systems is separation — content generation, analysis, and API integrations as separate flows in n8n/Make, which can be swapped or expanded without affecting the rest. Airtable or Notion as the central database (Single Source of Truth) is a proven approach when scaling. I have worked with OpenAI, Claude, and LLM pipelines in production projects.

What I will do:
- Modular architecture in n8n or Make — separate flows for generation, analysis, and integration
- Content generation module: creative ideas, ad copy, web/email banners (OpenAI + Claude)
- AI graphics generation module (DALL-E 3 / Midjourney via API)
- Analysis module: competitor monitoring, trends, processing marketing data
- Integration with Airtable or Notion as the main database

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  • Rating 457

Budget: 1000 USD Deadline: 5 days

The modular approach is critically important here — especially if AI workflows will scale for various marketing tasks and services. One of the common pitfalls in such systems is when content generation, analytics, and integrations are bundled into "one scenario," which is difficult to maintain or change.

I have worked with AI automation workflows through Make.com, ChatGPT, Claude, CRM, and AI-driven marketing systems. For example, I built an AI consultant for Instagram Direct + automated qualification flow through Chatfuel, Voiceflow, and Make.com, where all the logic was divided into separate modules for scalability and quick updates. I also implemented CRM automation with UTM analytics and AI-driven lead processing for marketing tasks.

For your project, I would build the system through separate reusable modules: content generation, analytics, prompts, approval logic, integrations, and reporting layer.

By the way, are you planning centralized workflow management through Airtable/Notion or a separate orchestration layer? I am ready to help with the architecture and implementation of the system.

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  • Rating 432

Budget: 1000 USD Deadline: 30 days

Hello! I am creating a modular system of AI agents on Make.com or n8n that will handle the routine of marketing content and analytics.

I have experience in developing AI factories: I combine GPT, Claude, and Gemini for generating texts, ideas, and competitor analysis with exports to Airtable/Notion. I will set up connections via API so that you can easily add or disable blocks. Marketers will have an autonomous source of ideas without the routine.

I am ready to discuss the details and start working.

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Budget: 5000 USD Deadline: 40 days

Hello. Your task of creating a scalable, modular AI agent system for marketing perfectly matches the profile and competencies of our automation studio, Lumvex. We specialize in designing complex AI pipelines, advanced Prompt Engineering, and end-to-end integration of LLM models into business processes.

We understand the main priority of your technical specifications: the system should not be monolithic. It must consist of independent modules so that you can easily replace models (for example, switch from GPT to Claude) or graphic engines without breaking the overall logic.

Our technical approach to implementing your system:
Modular Event-Driven Architecture:
The foundation of the entire ecosystem will be Airtable or Notion (acting as the Single Source of Truth). Each process—text generation, creatives, competitor analysis, or trend parsing—is designed as an isolated microservice in Make.com or n8n. This will ensure the flexibility you need: modules can be turned off, added, or customized independently of each other.

Cascading Prompt Engineering (Prompt Chaining):
To minimize model hallucinations when generating advertising texts and content ideas, we set up multi-stage chains. The first model (for example, Claude 3.5 Sonnet) analyzes trends and builds a structure, the second (GPT-4o) writes content, and the third (an isolated AI validator) checks the result for compliance with your Tone of Voice and guidelines.

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  • Rating 5.0
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Budget: 1000 USD Deadline: 22 days

Hello.

I am a NodeJS developer. I am interested in your project. Write to me, and we will discuss.

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  • Rating 361

Budget: 1200 USD Deadline: 16 days

Hello.

I am more interested in building proper AI workflow systems that can be scaled and refined without complete rewrites, rather than just "wrapping Make for the sake of Make."

From what I have already done:
— AI agents with multi-step logic and routing;
— automated pipelines for analysis/scoring/content generation;
— Telegram/CRM/LLM integrations;
— workflow systems with modular architecture;
— AI pipelines with OpenAI, Claude, Gemini, OpenRouter;

Andrey K.
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Budget: 1000 USD Deadline: 1 day

Hello. I have experience in implementing AI automation. I am ready to collaborate. Please contact me.

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  • Rating 468

Budget: 1000 USD Deadline: 14 days

Hello.

I am ready to discuss the task.

I have experience with AI automations, OpenAI/ChatGPT, API integrations, webhooks, n8n/Make, Telegram/CRM integrations, and building workflow systems.

Approach: first, we describe the processes and modules, then we assemble the MVP workflow, test the quality of the results, and after that, we expand the system.

I am ready to fill out the form and discuss the project details.

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