Adding AI to your hackathon project is the easiest way to impress judges in 2026. And it takes 10 minutes to set up. Here’s how to get each major AI API working with code you can copy directly.
Claude API (Anthropic) – Best for Complex Reasoning
Get API Key
- Go to console.anthropic.com
- Sign up (free credits for new accounts)
- Create API key in Settings
Quick Start (Python)
pip install anthropic
import anthropic
client = anthropic.Anthropic(api_key="sk-ant-...")
response = client.messages.create(
model="claude-sonnet-4-20250514",
max_tokens=1000,
messages=[{"role": "user", "content": "Explain quantum computing in 3 sentences"}]
)
print(response.content[0].text)
Quick Start (JavaScript)
npm install @anthropic-ai/sdk
import Anthropic from '@anthropic-ai/sdk';
const client = new Anthropic({ apiKey: 'sk-ant-...' });
const msg = await client.messages.create({
model: 'claude-sonnet-4-20250514',
max_tokens: 1000,
messages: [{ role: 'user', content: 'Explain quantum computing in 3 sentences' }]
});
console.log(msg.content[0].text);
Best for: Long context understanding, code generation, multi-step reasoning, structured output
OpenAI GPT-4o – Best for Speed + Multimodal
Get API Key
- Go to platform.openai.com
- Sign up ($5 free credit)
- Create key in API Keys section
Quick Start
from openai import OpenAI
client = OpenAI(api_key="sk-...")
# Text
response = client.chat.completions.create(
model="gpt-4o-mini", # cheap and fast for hackathons
messages=[{"role": "user", "content": "Write a haiku about coding"}]
)
print(response.choices[0].message.content)
# Image analysis
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": [
{"type": "text", "text": "What's in this image?"},
{"type": "image_url", "image_url": {"url": "https://..."}}
]}]
)
Best for: Fast responses, image understanding, function calling, broad knowledge
Google Gemini – Best Free Tier
Get API Key
- Go to aistudio.google.com
- Click “Get API Key”
- Free: 15 requests/minute (very generous for hackathons)
Quick Start
pip install google-generativeai
import google.generativeai as genai
genai.configure(api_key="AIza...")
model = genai.GenerativeModel('gemini-1.5-flash')
response = model.generate_content("Write a Python function to sort a list")
print(response.text)
Best for: Free usage, multimodal (text + image + video), long context (1M tokens)
Which One to Pick for Your Hackathon?
| Use Case | Best Choice | Why |
|---|---|---|
| Complex AI agent | Claude | Best reasoning + tool use |
| Image/video analysis | Gemini | Free + multimodal |
| Fast chatbot | GPT-4o-mini | Cheapest + fastest |
| Code generation | Claude | Best code quality |
| No budget at all | Gemini | Most generous free tier |
Add AI to Any Project in 5 Lines
The pattern is always the same:
- Install SDK
- Set API key (environment variable)
- Create client
- Send message
- Use response
That’s it. 5 lines to add AI to anything. The rest is building the UI and logic around it.
Build AI agents | Full hackathon starter kit | AI hackathons