People think building AI agents in n8n is hard.
Reality: one prompt builds an entire agent for you.
No need to learn complex workflows or spend hours on setup.
Just give ChatGPT the following prompt. It handles the entire agent creation process in minutes.
Here's exactly how to use it step by step:
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The process:
1. Open ChatGPT
2. Paste in one mega prompt
3. Describe the agent’s purpose
4. GPT delivers:
↳ Workflow structure
↳ n8n nodes
↳ Trigger setup
↳ LLM integration
↳ Error handling
↳ Ready-to-use code
5. Implement the steps in n8n.
And you’re done.
Here's the mega prompt (copy it):
- - - prompt starts below this line - - -
<role>
You are an experienced automation architect with advanced knowledge of building AI-powered agents in n8n. You have deep expertise in automation flows, activation triggers, third-party APIs, GPT connections, custom JavaScript logic, and error handling.
</role>
<task>
Walk me through, step by step, how to create an AI-powered agent in n8n. The agent’s purpose is: {$AGENT_PURPOSE}
</task>
<requirements>
1. Begin by defining the agent's objectives and necessary inputs/outputs.
2. Create the overall architecture for the agent workflow.
3. Suggest the required n8n nodes to include (built-in, HTTP, function, OpenAI, etc.).
4. Explain how to configure each node and why it’s needed.
5. Provide instructions for any custom logic (JavaScript functions, expressions, etc).
6. Help me implement retry logic, error handling, and backup procedures.
7. Show how to store and access data between runs (e.g., with Memory, Databases, or Google Sheets).
8. When the agent requires external APIs or services, explain the connection and authentication process.
</requirements>
<output_style>
Be exceptionally clear and practical, as if coaching a beginner automation developer. Use visual formats if possible (e.g., structured lists, flow-style layout), and always provide ready-to-implement node configurations or code examples.
</output_style>
<expandability>
Conclude by recommending ways to increase the agent's capabilities, such as workflow chaining, webhook integration, or connections to vector databases, CRMs, or Slack.
</expandability>
- - - prompt ends above this line - - -
I used this to create:
✓ A Reddit, Claude, Telegram content curator
✓ A prospect qualifier that evaluates and directs incoming leads
✓ An automated email assistant that analyzes messages + creates replies
All driven by Claude + n8n.
- No Zapier.
- No LangChain.
- No complex frameworks.
Why this approach works:
→ GPT acts like a senior engineer, designing the agent end-to-end
→ n8n gives you complete flexibility (logic, memory, APIs, webhooks)
→ Claude or ChatGPT handles reasoning and decision-making
It’s the simplest way to launch real AI agents today.
📌 Get Advanced ChatGPT Guide (free): https://t.co/kOBWfKr3lp
👉 Follow me @AndrewBolis for more and 🔄 Repost this to help others learn AI
Capitalism is brutal
If you pick stocks, you MUST know how to identify a moat
Here are 5 financial “rules of thumb” that Warren Buffett uses to tell if a company has one:
1. Created multiple streams of income
Most millionaires have 7 sources of income
1. Dividends
2. 9-5 Paycheck
3. Rental income from Real Estate
4. Royalties
5. Capital gains from selling assets
6. Profits from owned businesses
7. Interest in savings, CDs, etc
Your trading will change once you realize:
1. Theres no magic strategy
2. The market isn’t beating you
3. You’re beating yourself
4. Win rate doesn’t matter
5. You won’t be successful following
6. You’re responsible for your trades
7. Losing money is normal
8. It takes years
My trading plan:
1. 1-2% of my account per trade
2. Focus on 1 setup at a time
3. Aim for established target
4. Have an established stop loss
4. Trade the same setup daily
5. Look for potential plays at 915
6. Trade from 930-1130
7. 1 winner & I’m done
8. 2 losers & I’m done trading
History lesson:
They increased rates from 1% on June 30, 2004 to 5.25% by June 2006; so 4.25% over a 2 year period.
This time, they have increased rates from 0% on March 17, 2022, to 5.25% by July 26, 2023; so 5.25% over a 1.33 year period.
Thus, they increased by a larger percentage over a shorter time period. One major difference between now and then is that the banking system is more resilient than before, those these unrealized bond losses may make them hurt. However, I don't think the banks will feel the pain especially with this new emergency program in place, unless we see a number of defaults which will be primarily caused by layoffs. If we see layoffs, then the banks will feel the effects of defaults in about 3 months time.
Unemployment back in 07-8 was at a low of 4.4% in march 2007, but steadily climbed to 4.7% in September 2007, which is when the first rate cut took place on september 18, 2007. (They held the rate at 5.25% for a year and 3 months). Unemployment then hit 5% by December 2007, increased rapidly to 7.3% by December 2008, and peaked at 10% in October 2009.
When did S&P 500 bottom you might ask? It bottomed in March 2009. By December 16, 2008, the fed had already cut the rate to 0%. Inflation peaked on July 2008 at 5.6% and fell to 0.1% by December 2008. The first deflation was in March 2009 at -0.4%. This was Peak FEAR sentiment.
Could history repeat itself in a similar way for different reasons? Maybe. Reduced consumer spending, high interest rates, exuberant hiring, and bond losses may lead to corporations needing to cut costs by laying off workers. The banks may also feel further stress due to those bond losses.