Which AI Tool to Select to Build My AI Application Career Talk — Sunday, 12:00 PM GST (Dubai) What this session covers Decision framework: Align problem → data → UX → constraints → stack. Tool matrix: When to use Voiceflow/Make, Streamlit/Gradio, OpenAI/Amazon Bedrock, LangChain/LlamaIndex/CrewAI/LangGraph. Starter stacks by goal: Prototype in a day, MVP in a week, production-ready path. Cost, risk & scalability checklist: Latency, eval, observability, governance. Who should attend Product builders, data scientists, founders, and students choosing their first (or next) stack for LLM/RAG/chatbot/agent apps. Key takeaways 5-step tool selection framework (downloadable matrix). Recommended stacks for common use cases (Q&A/RAG, workflow agent, analytics copilot). Integration blueprint: model/API → orchestration → vector DB → UI → eval/monitoring. Action plan: 7-day path from idea to demo. Agenda (60 min) 0–10: Landscape & myths (build vs. buy, no-code vs. code). 10–25: Tool matrix walkthrough & trade-offs. 25–45: Starter stacks + live “pick my tools” demo. 45–60: Q&A and next steps. Tools featured No/Low-Code: Voiceflow, Make/n8n, Replit, Streamlit, Gradio APIs/Models: OpenAI, Amazon Bedrock Frameworks & Agents: LangChain, LlamaIndex, CrewAI, LangGraph Retrieval & Storage: Chroma, Pinecone Eval/Observability: LangSmith