AI content and mailing system

Good day. I am ready to complete this project as I have extensive experience in application development.

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Content automation for the jewelry niche requires precision: AI must not fabricate facts or violate the brand's tone. The main goal is to avoid hallucinations and control quality.

I propose a scheme: n8n orchestrates processes, Anthropic API generates texts based on web scraping of trends. PostgreSQL stores history, Redis caches context.
Workflow: generation → verification in Telegram → auto-posting via LinkedIn and SendGrid API (reliability).

Use cases: bot for online store newsletters, CRM integration with AI, social media automation.
To start, access to email, social media, and brand book is needed. Implementation period is 14 days, work for a fixed price within budget.

It is also worth considering the possibility of integrating the system with analytics tools (Google Analytics, Facebook Pixel) to track user behavior and automatically adjust content to increase conversion.
… This will allow not only generating content but also optimizing it based on real results, increasing the ROI of your marketing efforts.

Since the jewelry business often requires visual content, we suggest adding a service for automatic generation of images and videos for your posts and newsletters.
This will significantly improve audience engagement and highlight the beauty of your jewelry products.

We can discuss all of this.

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Hello
I am engaged in automations through the service Make.com, which allows connecting and automating many different platforms without writing code.

Regarding experience, I have created automations for article generation on WP and an AI content system for Instagram, Telegram, Facebook, and LinkedIn.

I propose that the optimal solution is an RSS feed, which allows gathering various sources of information, whether Instagram pages or Telegram channels where news from your field is published, into one stream that can be filtered by keywords and then transmitted through the Make.com platform to AI (any LLM can be connected) only the optimal information, which will generate content and newsletters based on this, and place it in a table (Google Sheets/Airtable) where all data will be stored, and you can review, edit as needed, and confirm. It is also convenient because all prompts will be placed in the table for easy editing.
Additionally, an Error Handler and error notifications to email will be set up.

Publication on LinkedIn occurs via API through the same Make service, and for sending Instantly, it also connects through Make.
… We can discuss all the details of cooperation regarding the timeline and cost in private messages.
Feel free to reach out)

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Good evening. I represent the Nexus Core team. We have reviewed your request for the implementation of an AI system for the jewelry business. Our team specializes in creating technical infrastructure and automating complex workflows, where data stability and content quality are a priority.

To implement an end-to-end system, we propose the following technology stack:

Frontend (Admin): Next.js 14 for creating a management panel with the ability to preview content and an approve button.
Backend & Automation: Node.js or n8n for building scripts where content goes from draft to final publication.
AI & Content: Using OpenAI GPT-4 or Claude for generating texts in various styles (expert, storytelling) and LangChain for precise prompt management, minimizing errors.
Distribution: Integration with SendGrid to ensure high email deliverability and using LinkedIn API or specialized workflows for publications.
Database: PostgreSQL for segmenting your audience and storing the history of trends and posts.
…
Regarding the stages and format of development:
We propose to start with an MVP (duration 6–7 weeks, cost around $6,000). This stage includes setting up AI generation for 5–10 templates, a human-in-the-loop approval system, integration of newsletters via SendGrid, and basic analytics (CTR, open rate). The next stage could implement automatic scraping of trends and deeper segmentation of the database.

In order for us to provide a final proposal, please clarify a few technical points:
In what format is your email database currently stored (CSV, Excel, or specific CRM)?
Do you have a ready Brand Guide (Tone of Voice) so that AI can immediately adapt to the brand's style?
What number of posts and newsletters per week do you plan to generate for calculating API limits?

We implement cases of content system automation and AI integration under NDA; however, we are ready to share details about our experience with similar architectures in private messages. A team of developers and a system architect will work on the project. Please write in private messages — we will clarify the details, discuss access to LinkedIn and SendGrid, and provide a fixed cost with a breakdown by stages.

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Hello, I have extensive experience in implementing AI systems. I would like to discuss your project in more detail in person. I look forward to your message.

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Hello 👋

I have experience in implementing AI systems for content generation and automation of email/social media.

I propose the following architecture:

Trend analysis through Google Trends + parsing LinkedIn
AI content generation module (different styles + RAG for the brand)
Approval workflow (draft → approve → publication)
… Integration with LinkedIn API and email service (Brevo / HubSpot)

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