33
INHow to build AI agents:
A great cheat sheet (bookmark for later).
Here's how to use it:
1️⃣ System Prompt: Define your agent’s role, capabilities, and boundaries. This gives your agent the necessary context.
2️⃣ LLM (Large Language Model): Choose the engine. GPT-5, Claude, Mistral, or an open-source model — pick based on reasoning needs, latency, and cost.
3️⃣ Tools - Equip your agent with tools: API access, code interpreters, database queries, web search, etc. More tools = more utility. Max 20.
4️⃣ Orchestration: Use frameworks (like LangChain, AutoGen, CrewAI) to manage reasoning, task decomposition, and multi-agent collaboration.
5️⃣ Memory: Implement both short-term (context window) and long-term memory (Vector DBs like Pinecone, Weaviate, Chroma).
6️⃣ UI (User Interface): Design an intuitive chat UI or business automation workflow interface that enables smooth interaction with your agent (and automated actions).
7️⃣ AI Evals: Test your agent's performance with real-world tasks. Use tools like TruLens, Rebuff, or custom evals to measure effectiveness, reliability, and safety.
#workfromhome #jobsearch #freelancelife #digitalnomad #remotework
@innospectra.ai
