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- GPT-5 Pro sets a new record
GPT-5 Pro sets a new record
Plus: a free interface to over 50 MCP servers, why MIT’s “95% of AI projects are failing” was wrong, and more
Edition 128 | October 16, 2025
Just 250 documents can poison an LLM training run with a sleeper agent.
American clearly needs to send a secret agent to Mistral HQ with a USB stick full of Kid Rock lyrics to teach the French about the value of a cold beer, an F150, and a pretty girl by your side.
— John Coogan (@johncoogan)
7:02 PM • Oct 12, 2025
If the CIA isn’t working on this right now, I want my tax dollars back.
Welcome back to Building AI Agents, your biweekly guide to everything new in the field of agentic AI!
In today’s issue…
AI coworkers are here
A free interface to over 50 MCP servers
🎓 Reminder: Join our free webinar on OpenAI’s Agent Builder today @ 4pm CT
How to run a whole virtual coding team
GPT-5 Pro breaks a general intelligence record
…and more
🔥 IN CASE YOU MISSED IT
Readers’ favorite items from the past week
🤖 AGENT OF THE WEEK
Welcome back to Agent of the Week:
Normally, your agent has to hit Google Sheets or Airtable every time it needs data.
Now? n8n Tables store everything inside n8n — fewer API calls, faster runs, cleaner builds.
So to test this, I built a CRM Sales Assistant Agent — it keeps client and deal data in n8n Tables, then lets me chat to pull summaries, list won deals, and even sum revenue by month — answering all my sales analytics questions.
One agent, one native CRM table. Simple, but seriously powerful for everyday client questions.
How I Built It:
Open n8n: Create a new workflow (free plan is enough)
Create a Data Table:
leads_example
with columns:name
,company
,source
,lead_stage
,assigned
,email
,deal_value (number)
,contact_date (date)
,status (won/lost/pending)
Import data: Automatic Trigger → Google Sheets: Get Rows → Data Tables: Insert Rows (you’ll see “11 out → 11 in”)
Agent: Chat Trigger → Router (name / status / date) → Connect Data Tables: Query → Calculator to sum money → AI Agent → answers things like “Paid deals in September” or “Total from Orion Motors”
Add Guardrails in Prompt: “Use only table data, never invent facts. Show a one-line math breakdown when summing. Output 1–2 sentences + a mini table.”
Ask questions to the CRM Sales Assistant Agent: “How many paid deals did I have in September?” or “tell me about all projects we did for Orion Motors this year” or “How many paid projects did we close last month”
Bonus: Want the detailed video walkthrough and the exact n8n agent template? Get access to both in our Building AI Agents Community here & check out the full tutorial here!
Till next week,
AP
P.S. What agent would you build? Reply with your idea and I’ll build it next week!
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‼️ ESSENTIAL INTERVIEW

Source: TIME
A TIME interview with Amjad Masad, CEO of Replit, in which he discusses the rise of agentic AI coworkers, which can increasingly operate semi-autonomously for hours on end. These agents are actually improving even faster than suggested by the report I featured on Monday, he argues, and gives advice on how to stay ahead of the curve as they increasingly disrupt entry-level jobs.
Masad was a key figure in setting off the agentic coding boom by creating Replit agent, which is now one of the most popular AI-powered coding tools and has brought the company’s revenue from $2.8 million to $150 million in less than a year.
🎓 LIVE WORKSHOP: OPENAI’S AGENTKIT
OpenAI just launched their no-code AI agent builder AgentKit! We’re going live Today @ 4PM CT to show you how to start using AgentKit, how it compares to other tools like Zapier & n8n, and simple agents you can build today with it!