I Built 4 AI Workflows for $0

I love free stuff. I also love fast stuff. Usually, in the tech world, you have to pick one.

If you want an AI API that is lightning fast, you pay for it. If you want free, you usually get slow, throttled, or "dumber" legacy models.

Then I found Groq.

If you haven't heard of Groq, they don't make the standard GPUs you're used to. They make LPUs (Language Processing Units), which are essentially rocket fuel for text generation. The result? It is blisteringly fast. We're talking 300+ tokens per second.

And the best part? They have a generous Free Tier for developers evaluating their infrastructure. Naturally, I decided to use this power to automate my daily workflows. Here are four tools I built using Groq’s API, and how you can do it too.

Why Groq? (Besides the Price)

When you are building a tool that needs to "think" in real-time, latency is the enemy. Waiting 5 seconds for an AI to reply feels like an eternity. Groq returns answers in milliseconds. It makes the AI feel like it's actually processing, not buffering.

**The Model:** I mostly use `llama-3.1-8b-instant` for raw speed, or `llama-3.3-70b-versatile` for complex logic.

**The Cost:** $0 (up to their Free Tier rate limits).

App 1: The Code Translator

I am not a full-time developer by trade, but as a Solutions Engineer, I constantly bridge the gap between technical requirements and business outcomes. Sometimes I find a great snippet of code on GitHub, but it's in Python, and my personal site is Next.js (JavaScript).

I built a simple internal tool where I paste code, and Groq instantly rewrites it for my stack.

**The Prompt:** *"You are an expert software engineer. Translate the following Python code into idiomatic TypeScript for a Next.js 14 application. Do not explain the code, just return the translated code block."*

**The Result:** Because Groq is so fast, the translation happens almost as soon as I hit enter. No more waiting for standard LLMs to "type" out the answer character by character.

App 2: The Entity Extractor

I get a lot of logs, discovery notes, and emails that are just messy blocks of text. I wanted to turn them into structured data (JSON) so I could feed them into other automations.

**The "Secret Sauce":** Groq supports strict JSON Mode. This guarantees the AI will only output valid JSON, without the conversational fluff like *"Here is the data you requested..."*

**The Prompt:** *"Extract the 'device_name', 'battery_level', and 'last_seen' timestamp from this log. Return ONLY JSON."*

App 3: The "Home Assistant Architect"

My local Home Assistant setup is highly customized. I use "Picture-Elements" cards that require precise X/Y coordinate positioning in YAML. Writing this manually is torture. I built a "Home Assistant Architect" script to do the heavy lifting.

**How it works:** I tell it: *"I want a floorplan card with a light toggle for the Kitchen at 40% top, 20% left, and a temperature sensor for the Living Room at 60% top, 50% left."*

**The Magic:** It churns out 50 lines of perfectly formatted YAML in under a second. I copy, paste, and reload my dashboard. When I'm tweaking a UI, I want to iterate fast, and Groq keeps up with my trial-and-error workflow.

App 4: The "Grant Glazer" RAG Bot (Proof of Concept)

I wanted to experiment with RAG (Retrieval-Augmented Generation) by building a chatbot proof-of-concept that could answer questions based on my actual resume and blog posts.

**The Index:** I parsed my professional history and stored the text as "vectors" (mathematical representations of text).

**The Search:** When a query asks, *"What did Grant do at DNN?"*, the system finds the relevant vectors from my resume.

**The Generation:** I send those specific paragraphs plus the user's question to Groq.

**The Response:** Groq reads the context and answers: *"Grant held various positions at DNN Corp., including Enterprise Account Executive and Inside Sales Development Team Manager..."*

Because I am utilizing Groq's Free Tier for this evaluation, I don't have to worry about a surprise $500 API bill if the bot gets heavy traffic. Instead of scaling infinitely and charging my card, it simply hits a rate limit and pauses-perfect for safe, cost-free prototyping.

How to Get Started

You don't need a PhD to use this.

Go to `console.groq.com` and sign up.

Generate an API Key (and keep it a secret!).

If you know a little Python, your first call looks like this:

*Disclaimer: This post is for educational and informational purposes. Grant Glazer is not affiliated with or endorsed by Groq. The code examples provided are for conceptual demonstration and should be thoroughly evaluated and secured before use in any production environment. Always follow best practices for API key management and secret storage. Grant Glazer assumes no liability for data loss, system breaches, or API costs incurred by implementing these concepts.*