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I help startups build production-ready AI SaaS applications using FastAPI, Next.js, AI Agents, PostgreSQL, and Docker—from MVP to scalable products.
If you're building an AI product and need a reliable engineering partner, let's connect.
Really Bad at writing and Stuff , it is Done By AI , But I would love to Connect and Discuss
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Build AI SaaS MVPs with FastAPI, Next.js & AI Agents by Harshit Joshi
Read more about Build AI SaaS MVPs with FastAPI, Next.js & AI Agents by Harshit Joshi on Contra.
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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Not every company needs to look like the next big startup.
Reforma was created for established businesses, the kind that already have the experience, results, and reputation, but need a website that reflects it.
Inside the template:
• 3 distinct homepage layouts
• Multiple About and Contact pages
• CMS-powered services, case studies, and blog
• Carefully built interactions throughout
• Fully responsive Webflow development
Developed by me in Webflow.
This is the difference between automation and an AI agent. 🤖
A traditional automation says:
“When X happens → do A → then B → then C.”
It’s predictable, reliable, and perfect for repetitive processes. But what happens when the next step isn’t always the same? That’s where an AI agent comes in.
Instead of following one fixed path, an agent can:
→ Understand the goal
→ Analyze the situation
→ Decide what information it needs
→ Choose the right tool
→ Take an action
→ Check the result
→ Decide what to do next
For example, imagine a lead-generation workflow in n8n.
Traditional automation:
New lead → Scrape website → Find email → Add to CRM → Send email
Every lead follows the same path.
Agentic workflow:
New lead → AI Agent
The agent decides:
🔎 Does this company fit the target profile?
🌐 Should I research the website further?
📊 Is there enough information to qualify the lead?
✉️ Should I generate a personalized message?
⚠️ Is human approval needed before outreach?
The workflow becomes goal-driven instead of purely step-driven.
And this doesn't mean replacing automation.
The most powerful systems combine both:
n8n handles the reliable execution.
AI handles decisions where the path isn't always predictable.
That’s what makes an agentic workflow different from simply adding ChatGPT to an automation.
The future isn't: Automation OR AI
It's: Automation + AI agents + the right tools.
Great visual! "Automation does the work, AI agent decides the work" is probably the clearest way to explain this shift to clients.
Thread is live on Contra.
I designed Thread as a Framer template for AI and SaaS products that need to communicate more than just what their interface looks like.
The concept behind the template is an AI context layer for product teams, but the real exercise was building a website around the product story.
The landing page establishes the problem and promise quickly, product visuals demonstrate how the solution works, and deeper feature pages give each capability room to explain itself.
If you're building an AI or SaaS product and want a website that helps visitors understand the product, see it in action, and move toward conversion, Thread is built for that.
Love this, Amazing Designs
