Shipping Systems, Not Scripts: Announcing My 30-Day Production AI Challenge

We have a problem in the AI engineering space right now. It is the "Jupyter Notebook Trap."

You spend four hours tweaking a prompt in a notebook until it outputs exactly what you want. You feel like a genius. You share a screenshot on X (Twitter). You get the likes. But when you try to wrap that logic into a FastAPI endpoint, handle concurrent requests, manage memory state, and put a UI in front of it? The whole thing breaks apart.

I’ve been there. My GitHub is a graveyard of half-finished agents that work beautifully in isolation but fail in production.

That changes today.

For the next 30 days, I am pivoting from experimentation to productization. I am building a production-grade AI Micro-SaaS foundation, and I am documenting every commit, every architectural decision, and every failure.

This isn’t just a blog series. It is a commitment to ship a standardized "Agent Architect Blueprint"—a reusable codebase that handles the boring infrastructure so we can focus on the intelligence. Here is what I am building, and how you can follow along.

The Objective: From Localhost to Live

The goal is simple but difficult: Build and launch a multi-agent system that generates revenue (or at least actual user utility) in 30 days.

To do this, I cannot just write code. I have to build a system. I need to productize the workflow that has worked for me in client projects and package it into something deployable.

The "Why" Behind the Pivot

As an AI Automation Engineer, I’ve noticed a pattern. Clients don’t pay for the prompt. They pay for the reliability. They pay for the system that wraps the LLM. They want to know:

• How do we handle rate limits?
• Where is the conversation history stored?
• How does the agent authenticate with third-party tools?
• What happens when the LLM hallucinates?

If you can answer these questions with code, you aren’t just a coder; you’re a solution architect. This next 30 days is about proving that architecture.

The 30-Day Roadmap

I have broken this sprint down into four distinct sprints. If you are subscribed to my newsletter, The Builder’s Log, you will get the technical deep dive and the GitHub repo updates every Sunday.

Week 1: The Core Infrastructure (The Boring Stuff)

We are skipping the flashy demo and starting with the plumbing. If the foundation is weak, the agent is useless.

• Stack Selection: I am standardizing on Next.js (Frontend), Python/FastAPI (Backend), and Supabase (Vector Store & Auth).
• Boilerplate: Setting up a repo that creates a unified interface for OpenAI, Anthropic, and local Llama models.
• Objective: By day 7, I want a deployed "skeleton" where I can swap models via environment variables without touching the code.

Week 2: Memory & Context Management

This is where most "tutorial" agents fail. They have the memory of a goldfish.

• Vector Retrieval (RAG): Implementing a hybrid search (semantic + keyword) system.
• Short-term vs. Long-term Memory: Building a Redis-backed session handler for immediate context, and a Postgres archive for historical data.
• Objective: An agent that remembers who you are and what you asked it three days ago.

Week 3: Tool Use & Agency

An LLM that can only talk is a philosopher. An LLM that can use tools is an employee. This week is about giving the agent hands.

• Function Calling: implementing structured outputs to reliably trigger APIs (Stripe, Gmail, Slack).
• The "Human-in-the-Loop" Interface: Building a UI mechanism where the agent pauses and asks for permission before executing a high-stakes action (like sending an email).

Week 4: The Micro-SaaS Wrapper & Launch

Code that sits on GitHub doesn't count. It needs to be a product.

• Stripe Integration: Metered usage (token-based pricing).
• The Landing Page: I’m building the landing page now (more on that below).
• Packaging the Template: Cleaning up the code so you can clone it.

Productizing the Process: The "Agent Architect Blueprint"

During this challenge, I am creating a byproduct. I am not just building my app; I am extracting the reusable patterns into a Template Pack.

I realized that every time I start a new project, I waste 10 hours setting up the same Pinecone indexes and the same API routers. I’m tired of repeating myself.

The Offer: At the end of these 30 days, I will be releasing the Agent Architect Blueprint. This isn't a 20-hour video course where you watch me type. It is a battle-tested GitHub repository and a documentation wiki.

It includes:

• The Monorepo: Next.js + FastAPI configured for easy deployment on Vercel/Railway.
• The Prompt Engineering Library: My personal collection of system prompts for extraction, summarization, and routing.
• The "Agent Swarm" Orchestrator: A lightweight class for managing multiple agents talking to each other.

I am building this for myself first. But I am making it available to developers who want to stop building toys and start building businesses.

Behind the Scenes: How I’m Planning This

Transparency is key. Here is a look at my current planning stack for this challenge. I’m not just winging it; I’m treating this like a client deliverable.

1. The Content Engine

I’m using Notion to map out the 30 days. Each day acts as a "commit message" for the content.

• Monday - Thursday: Build mode. Deep work. No social media distractions.
• Friday: Documentation. Recording Loom videos of the progress.
• Saturday: Writing the newsletter edition.
• Sunday: Rest & Review.

2. The Landing Page (Drafting Phase)

I am currently drafting the landing page for the Blueprint. I’m using a "Problem-Agitation-Solution" framework.

The Header: "Stop Building Toy Agents. Start Shipping Systems."
The Subheader: "A production-ready boilerplate for developers who want to deploy intelligent agents in days, not months."

I am A/B testing two different lead magnets to see what you guys actually want. Would you prefer a Technical Checklist for Deployment or a Video Walkthrough of the Codebase? I’ll be asking this on Twitter later today.

A Call to Builders: Don't Watch, Build.

This 30-day challenge is going to be intense. I will likely break the build multiple times. I might realize that the tech stack I chose on Day 1 is wrong by Day 15. That is part of the process.

I want you to join me. You don’t have to buy anything. You don't have to build exactly what I'm building. But I want you to commit to shipping something in the next month.

Join The "Builder's Log"

This blog is just the summary. The real value is in the newsletter.

Every week, I will send out:

1. The Code: Direct links to the specific commits and PRs I merged that week.
2. The Mistakes: A raw look at what broke and how I fixed it (usually more valuable than the success stories).
3. The Resource List: The specific libraries, papers, and tools I used.

If you want to move from being a consumer of AI to an architect of it, this is where you start.

Subscribe to the newsletter below.

If you are interested in the Agent Architect Blueprint template pack, reply to the welcome email with the word "BLUEPRINT". I will add you to the early access list (and give you a 50% discount code when it launches).

Let’s build something real.

— Avnish