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Hardik Paghdar
AI Engineer | LLM Agents | RAG | Fullstack | Supabase
New to Contra
Hardik is ready for their next project!
One of the biggest misconceptions in AI:
"If we switch to a better model, our results will improve."
Sometimes.
But often, the real problem isn't the model.
It's the context.
An AI system can only make decisions based on the information it receives.
That's why the highest-performing...
A lot of teams are rushing to add AI features.
But here's the thing:
Users don't wake up thinking,
"I wish this product had more AI."
They want:
⚡ Faster workflows
🎯 Better recommendations
🔍 Instant answers
🤖 Less repetitive work
📈 Better outcomes
The best AI products don't feel...
A few years ago, building software meant:
Frontend → Backend → Database → Deployment
Today?
The stack has evolved.
Modern products increasingly need:
🤖 AI Agents
🔍 RAG & Knowledge Retrieval
⚙️ Automation Workflows
🔌 Tool & API Integrations
☁️ Scalable Cloud Infrastructure
The...
Most AI agents look impressive in demos.
Very few survive real-world production. ⚡
A production-ready AI agent needs more than prompts.
It needs:
🧠 Memory & reasoning
🔍 Reliable retrieval (RAG)
🔌 Tool & API integrations
⚙️ Workflow orchestration
🛡️ Guardrails & fallback...
A mistake I see often:
Teams become obsessed with the AI.
The model.
The framework.
The prompts.
The architecture.
Meanwhile, users only care about one thing:
👉 Does it help me get my job done?
The best AI products don't feel like AI.
They feel like:
⚡ Faster workflows
🧠 Better...
