
A working demo that shows how AI-driven autoposting can keep a website fresh without manual effort. Visitors can see how content is generated and published automatically — a practical proof-of-concept for future client automation flows.
About Project
Scope of Work
/ Development / Automation
Timeline
/ 1 day
Website Building
/ 30 min
Automated Flow
/ 100%
Tech
/ React / Next.js / TS / Vercel / Airtable / API RESTful / Make
Team / Credits
Automation
Natalia Melnova
Development
Olga Lescuyer
Client
This project is an internal prototype developed as an experimental proof-of-concept. No client content or personalization was used; it demonstrates the technical flow only.

Behind this demo is a simple idea: technology should take away the repetitive tasks and leave more space for creativity. We built it as a proof of concept, but also as a way to explore how digital can feel more effortless, sustainable, and meaningful.
For us, it’s not only about showing what’s possible — it’s about rethinking how people and technology work together to make the web a little better every day.
AI Autoposting: What We Set Out to Prove
The main objective was to build a functional prototype that demonstrates end-to-end AI autoposting. The goal was to test how AI-generated drafts can be pulled, formatted, and published automatically — saving time and ensuring blogs never sit empty.
Key goals included:
- Automate repetitive blog posting tasks
- Validate API reliability and content quality
- Prove seamless integration with a modern front-end stack
- Test real hosting and deployment performance


Managing AI Output and Workflow Stability
Building an auto-blogging system involves more than just generating text. The biggest challenges included controlling the consistency of AI output, handling unexpected API errors, and ensuring published drafts follow a clean structure.
Specific challenges were:
- Normalizing inconsistent AI responses
- Avoiding duplicate or irrelevant posts
- Keeping performance high while querying APIs
- Managing deployment stability for always-on posting
Demonstrated Impact of Automated Content Publishing
The final prototype proves that a simple autoposting system can work reliably and save significant manual effort. While not personalized yet, it shows how a business can keep its blog alive with minimal input.
The demo site demonstrates:
- Fully automated draft creation and publication
- Clear, maintainable code structure for future scaling
- Insight into potential time savings (~20 hours per month)
- A foundation for adding approval workflows and content styling later

Key Takeaways from the AI Blogging Prototype
This project validates the concept that AI + automation can solve the “empty blog” problem for businesses with limited time to produce fresh content. It shows that even a basic setup can handle routine posting while leaving room for human edits or approvals.
Main lessons:
- Start simple: test workflows before scaling AI usage
- Always plan a human approval step for production use
- Maintain clean, modular code to adapt to different CMS or front-ends
- Expect AI output to need formatting rules for consistent quality
Key Numbers:
- 30-minutes prototype build
- ~20 hours saved per month (estimated)
- 0 manual publishing once the flow runs
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