@eng_khairallah1: Eric Schmidt (ex-Google CEO): “if you really want to make money, it’s actually easy. found an agentic AI company.” If I…
Summary
A tweet thread by @eng_khairallah1 compiles resources on building agentic AI companies, including Claude Code tutorials, LangChain's recent product announcements (Interrupt, Labs, Engine, SmithDB), and educational prompts.
View Cached Full Text
Cached at: 05/19/26, 10:43 AM
Eric Schmidt (ex-Google CEO): “if you really want to make money, it’s actually easy. found an agentic AI company.”
If I had only 30 days to do that , I’d begin here and save this:
Agent Architecture https://langchain.com/blog?category_equal=%5B%22Agent+Architecture%22%5D…
Claude Code 101: https://anthropic.skilljar.com/claude-code-101
Claude Code in Action: https://anthropic.skilljar.com/claude-code-in-action…
Prompt engineering (official): https://docs.claude.com/en/docs/build-with-claude/prompt-engineering/overview…
Interactive prompt tutorial (hands-on): https://github.com/anthropics/prompt-eng-interactive-tutorial…
CLAUDE.md & how to give Claude memory: https://code.claude.com/docs/en/claude-md…
Skills, teach Claude reusable workflows: https://code.claude.com/docs/en/skills
MCP, time connect Claude to Slack, GitHub, Drive: https://code.claude.com/docs/en/mcp
Routines (automate tasks 24/7): https://code.claude.com/docs/en/routines…
Claude Code Ultimate Guide (community): https://github.com/FlorianBruniaux/claude-code-ultimate-guide…
Awesome Claude Code (skills, hooks, plugins): https://github.com/hesreallyhim/awesome-claude-code…
All 13 Anthropic Academy courses (free certs): https://anthropic.skilljar.com
Claude Code full docs: https://code.claude.com/docs/en/overview…
All of this is for free at $0/month
Then read this guide by this builder
LangChain Blog
Source: https://www.langchain.com/blog?category_equal=%5B%22Agent+Architecture%22%5D
Featured stories
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Everything we shipped at Interrupt
Introducing LangChain Labs
Introducing LangSmith Engine
We built SmithDB, the data layer for agent observability
Recent stories
Everything we shipped at Interrupt
Introducing LangChain Labs
Introducing LangSmith Engine
We built SmithDB, the data layer for agent observability
Introducing LangSmith Context Hub
LangSmith Sandboxes are Generally Available
Introducing Managed Deep Agents
New in Deep Agents v0.6
LangSmith LLM Gateway: runtime governance built into the agent lifecycle
Delta Channels: Evolving our Runtime for Long-Running Agents
The Agent Development Lifecycle
.png)
Building a company due diligence agent with Deep Agents, LangSmith and Parallel
Agent observability needs feedback to power learning
Tuning Deep Agents to Work Well with Different Models
How Madrigal Built a Flexible and Scalable Multi-Agent Research and Intelligence Platform for Pharma with LangChain and LangSmith
Interrupt Preview: Meet the MC
We couldn’t find anything matching that.
Try a broader term, or explore all posts.
See what your agent is really doing
LangSmith, our agent engineering platform, helps developers debug every agent decision, eval changes, and deploy in one click.
Similar Articles
@kirillk_web3: Anthropic CEO after watching a $20B Chinese AI founder hand out the exact architecture that beats Claude for free in 40…
A tweet highlights a 40-minute masterclass by the founder of a $20B Chinese AI company, explaining Agent Swarms and AI systems at scale, with the implication that the architecture beats Anthropic's Claude.
@hwchase17: https://x.com/hwchase17/status/2053157547985834227
The article outlines a systematic 'Agent Development Lifecycle' (Build, Test, Deploy, Monitor) for creating and managing AI agents effectively, highlighting key frameworks like LangChain, LangGraph, and CrewAI.
@eng_khairallah1: https://x.com/eng_khairallah1/status/2058116763372453997
A comprehensive guide teaching non-coders how to build AI agents using Claude and Cowork without writing any code, explaining the core components and providing step-by-step instructions.
@ashwingop: https://x.com/ashwingop/status/2052777467732283817
An analysis of Claude's Managed Agents as a harbinger for the next AI infrastructure layer—'Company Brain'—an operational state layer that enables agents and apps to act from shared company context, contrasting with simpler knowledge bases or markdown-based prototypes.
@JaynitMakwana: AI engineers at top labs earn $500K+ a year to build agentic AI systems. Stanford just dropped a 90 min lecture that co…
Stanford released a free 90-minute lecture covering the full playbook for building agentic AI systems, including prompting, chains, RAG, and multi-agent systems.