Skip to main content

PromptCraft Series #3 Lovable & Replit: How to Start Prompting Without Coding

PromptCraft Series #3 – Lovable & Replit: Start Prompting Without Coding

✨ PromptCraft Series #3

"Lovable & Replit: How to Start Prompting Without Coding"

🗕️ New post every Monday

🧠 Quick Recap

  • ✔ Why prompt engineering is the new no-code skill
  • ✔ The anatomy of a perfect prompt

Now, let’s get practical and start building.

Today, you’ll learn how to:

  • Set up your first prompt block
  • Connect to OpenAI (or other LLMs)
  • Customize your prompt workflows without writing code

🔹 1. Setting Up Your First Prompt Block

🏗 On Lovable:

  • Head to your app workflow.
  • Drag a Prompt or AI block.
  • Type your prompt using the structure from Blog #2:
"Act as a [role]. Your task is to [task]. Respond in [format]..."

Example prompt:

"Act as a social media strategist. Your task is to write a catchy Instagram caption for a new fitness app. Keep it under 20 words. Tone: Energetic and friendly."

🏗 On Replit:

  • Go to your Replit project.
  • Install the OpenAI package.
  • Create a prompt string:
const prompt = "Act as a social media strategist..."; 
  • Use the OpenAI API call to send this prompt.

🔹 2. Connecting OpenAI or Other LLMs

On Lovable:

  • Go to Settings > Integrations.
  • Select OpenAI or Anthropic Claude.
  • Paste your API key.

On Replit:

  • Get your OpenAI API Key.
  • Authenticate in your code:
const configuration = new Configuration({
    apiKey: process.env.OPENAI_API_KEY,
});
const openai = new OpenAIApi(configuration);

Now you can send prompts and receive AI-generated responses.

🔹 3. Drag-and-Drop Workflows + Prompt Customization

On Lovable:

  • Connect AI blocks to user inputs, conditional logic, API calls, and outputs.
  • Add variables inside prompts (e.g., [user_name], [product_description]).
  • Set temperature, max tokens, and other settings easily.

On Replit:

  • User input ➔ Prompt ➔ LLM ➔ Output display.
  • Change response length and creativity (temperature).
  • Use if/else logic or add multiple prompt versions.

📝 Pro Tip: Always Test and Iterate

Don’t settle for your first output. Tweak the wording, formatting, and settings to find the sweet spot where the AI gives consistently helpful results.

📈 Exercise for This Week: Your First AI Flow

  • Choose a simple task (e.g., summary or greeting message).
  • Set up a prompt block in Lovable or Replit.
  • Test different versions of your prompt.
  • Try changing the temperature to see how creativity changes.

🔳 Coming Up Next Week

🔜 Blog #4“Crafting Prompts for Chatbots and Conversational AI”
Learn how to create chatbots and virtual assistants that handle multi-turn conversations, remember context, and feel natural.

✅ Subscribe, Save, and Share

Bookmark this series and follow us every Monday for step-by-step mastery of prompt engineering for no-code creators!

Comments

Popular posts from this blog

PromptCraft Blog Series #5: Automating Tasks With Prompt-Driven Workflows - Build AI-powered taskbots using no-code platforms like Lovable and Replit

PromptCraft Series #5 – Automating Tasks With Prompt Workflows ✨ PromptCraft Series #5 "Automating Tasks With Prompt-Driven Workflows" 🗕️ New post every Monday · Brought to you by Marc Rexian 🤖 Why Task Automation Matters With no-code platforms like Lovable and Replit , you can now build bots that: Summarize documents Generate reports Write replies Organize information Trigger API calls No Python. No cron jobs. Just prompts + flow. 🔧 What Is a Prompt-Driven Workflow? A user action or input starts the process A prompt block handles the logic The AI response is used to update the UI, send data, or trigger another action Think of it as Zapier powered by LLMs . ✨ TaskBot Use Cases You Can Build Today TaskBot Type Prompt Pattern Example ✉️ Email Writer ...

PromptCraft Blog Series #6: Prompt Debugging and Optimization – Learn how to fix and improve AI prompt outputs for more accurate, helpful results.

PromptCraft Series #6 – Prompt Debugging and Optimization "As of May 2025, summarize one real, recent science discovery based on known sources. Add links if available and avoid speculation." ✨ PromptCraft Series #6 "Prompt Debugging and Optimization: Getting the Output You Want" 🗕️ New post every Monday 🔍 Why Prompts Sometimes Fail Even the best models can give you: ❌ Irrelevant answers ❌ Generic or vague responses ❌ Hallucinated facts or made-up data ❌ Wrong tone or misunderstanding of intent Often, it’s not the AI’s fault — it’s the prompt . 🔧 How to Debug a Prompt Start with these questions: Is the role or task clearly defined? Did you give examples or context? Are your constraints too loose or too strict? Did you format the output instructions properly? Then iterate your prompt, one element at...

Behind the Scenes: How Generative AI Creates Music, Art, and Stories

When Machines Dream We’re living in a world where machines don’t just compute—they create. Generative AI is writing novels, composing symphonies, and painting pictures. But what’s really going on behind the screen? This post pulls back the curtain to reveal how generative AI actually creates —from writing a bedtime story to composing a lo-fi beat. Whether you're a curious creator or tech enthusiast, you’ll see the art of AI through a new lens. What is Generative AI, Really? Generative AI uses machine learning models—especially neural networks—to generate new content based on learned patterns. Trained on vast datasets, these models produce original music, images, and text based on user prompts. 1. How AI Writes Stories (e.g., ChatGPT, Claude) Step-by-step: You give a prompt: “Write a story about a lonely robot who finds a friend in the forest.” The model (like ChatGPT) draws on its training data to predict and generate the most likely next word, sentence, or paragr...