Best AI Tools #ai #artificialintelligence #llm #openai #chatgpt #perplexityai #machinelearning

My essential AI development toolkit (free & paid)

I’m often asked, “Which tools actually matter when you’re building AI agents?” After dozens of projects—no-code prototypes and fully coded systems alike—these are the tools I reach for first.

1. Core LLM & Embedding APIs

Free tier: OpenAI GPT-4o (community credits), Hugging Face Inference API

Paid / scale: Anthropic Claude 3, Google Vertex AI, AWS Bedrock

2. Agent & Workflow Orchestration

Open-source: LangChain, LlamaIndex, Haystack

Paid SaaS: LangSmith (tracing / eval), CrewAI Pro for multi-agent coordination

3. Vector Databases

Free tier: Supabase pgvector, Chroma (local)

Paid / enterprise: Pinecone, Weaviate Cloud, Milvus Lite on Azure

4. Coding Assistants

Free: Codeium, Cursor AI (community)

Paid: GitHub Copilot Enterprise—autocomplete, PR summaries, config chat

5. DevOps & MLOps

Free: Docker Desktop, GitHub Actions, Weights & Biases (starter)

Paid: Prefect Cloud, Flyte, Lambda Cloud GPUs

6. No-Code Builders

Free: Zapier AI Builder (100 tasks/mo), Make.com basic plan

Paid: Bubble AI Plug-ins, Relay.sh for agent pipelines

7. Experimentation & Notebooks

Free: Google Colab, Kaggle Kernels

Paid: Colab Pro+, Deepnote Teams

Why this mix works

Prototype fast on free tiers → validate value → scale up on paid plans when usage or compliance demands rise.

Combining open-source libraries with managed infrastructure keeps costs low while staying production-ready.

🗣️ What’s your favorite AI tool? Drop it in comments! I’m always looking to test new options.

#AI #AIAgents #DevTools #FullStackDevelopment #MachineLearning #NoCode #TechStack

Видео Best AI Tools #ai #artificialintelligence #llm #openai #chatgpt #perplexityai #machinelearning канала Himanshu Choudhary