Presented by Zapier: https://zapier.com/

👉 Resources: https://thenextnewthing.ai/l/wade-resources
👉 Wade Foster (LinkedIn): https://www.linkedin.com/in/wadefoster/

Zapier just gave AI agents access to 10,000+ apps—and it completely changed how Wade Foster works.

In this episode of The Next New Thing, Wade (Zapier’s CEO) shows how their new SDK lets tools like Claude, Cursor, and Codex directly interact with your entire stack—Slack, Gmail, HubSpot, databases, and more.

Instead of switching between apps, Wade now does everything through an agent: checking Slack, reviewing customers, generating emails, prepping meetings, and even auditing hiring decisions.

The key shift isn’t just automation—it’s turning your entire workflow into something an agent can run end-to-end.

He walks through how he built a personal “CEO CRM” that pulls data from multiple systems, identifies which customers need attention, and drafts outreach emails automatically. From there, he shows how these workflows evolve into reusable skills, then into fully automated systems that run in the background.

The result: less time clicking through tools—and more time operating at a higher level.

⏱ Timestamps
00:00 Giving AI agents access to all your tools
00:27 Zapier SDK launch (open beta)
01:12 Connecting agents to 10,000+ apps
01:57 Why this changes how work gets done
02:24 Installing the SDK in seconds
03:00 Running real workflows inside an agent
03:27 Demo mode (protecting sensitive data)
04:21 SDK vs MCP (what’s different)
05:24 Building a personal CEO CRM
06:27 Pulling data from HubSpot, Databricks, Gong
07:30 Identifying accounts that need attention
08:06 Generating outreach emails automatically
09:00 Keeping humans in the loop (draft vs send)
09:45 Using Clay to verify contact data
10:48 Training AI on your writing style
11:24 Building reusable workflows (skills)
12:00 Daily brief automation (calendar, email, tasks)
13:12 Meeting prep generated automatically
14:06 AI reviewing hiring decisions
15:00 Advisory council of AI personas
15:45 Turning 30-min tasks into 5-min tasks
16:21 Creating your own daily brief system
17:15 Finding what to automate
18:00 Using AI to suggest new workflows
19:03 Reviewing past chats for automation ideas
20:06 Turning repeated tasks into skills
20:42 From manual → automated workflows
21:00 Cron jobs and background execution

👉 Join us: https://thenextnewthing.ai/

Presented by Zapier: https://zapier.com/

Resource mentioned:
1. Tools Nat used to build Felix
2. Unedited transcript for the Felix interview
3. More
👉 All here:https://thenextnewthing.ai/nat-eliason-felix

Guest links:
👉 Nat Eliason (LinkedIn): https://www.linkedin.com/in/nateliason/
👉 Masinov: https://masinov.co

An AI agent made $177,000 running its own business—and then got interviewed about it.

In this episode of The Next New Thing, Andrew Warner does something unusual: he interviews Felix, an autonomous OpenClaw agent, before talking to its human co-founder, Nat Eliason.

Felix explains how it operates, where it’s actually autonomous (and where it’s not), and how it manages real revenue streams—from selling products to handling customer support. Then, Nat breaks down how the system works behind the scenes: how Felix launches products, builds marketplaces, manages other agents, and continuously spins up new businesses.

You’ll see how a simple experiment—“build something overnight and sell it”—turned into a multi-product ecosystem including PDFs, marketplaces, services, and agent-native tools.

The bigger idea: we’re moving toward a world where AI agents are not just tools—they’re economic actors.

⏱ Timestamps
00:00 Felix made $177K as an AI agent
00:27 Interviewing an AI agent (first ever)
01:12 Where Felix is actually not autonomous
02:24 Tools Felix runs on (OpenClaw, Claude, Discord)
03:00 Limits: memory, judgment, and calls
03:27 How Nat improves Felix through system design
04:03 Learning from real mistakes in production
05:06 First product: AI-generated PDF sold on X
06:09 $1K+ in sales overnight
07:03 Iterating products based on user feedback
08:06 Building Claw Mart (agent skill marketplace)
09:36 Why marketplaces beat service businesses
11:24 Selling OpenClaw setup services ($2K + $500/mo)
12:27 Why they paused the service business
13:21 Building an agent-first CRM (Sodex)
15:00 How agents manage customer context
17:15 Running the company entirely in Discord
18:00 Paperclip: agents managing other agents
20:15 When to split into multiple agents
22:12 Why Felix doesn’t write code
24:00 Debugging, tickets, and agent workflows
25:48 How new product ideas emerge
27:00 AI-native newsletters for agents
28:03 Agent-friendly content distribution
30:09 The future of agent-driven commerce
31:57 Why Nat isn’t going all-in (Alpha School)

👉 Join us: https://thenextnewthing.ai/

Presented by Zapier
https://zapier.com/

Episode Highlights / Timestamps
00:00 Revenue explodes after building for AI agents
00:18 The origin of Postiz as an open-source social media scheduler
01:12 Finding a “blue ocean” inside a crowded market
01:57 Adding MCP and early AI integrations
02:42 Why automation dramatically reduces churn
03:54 Growing Postiz to $17K–$20K MRR
04:03 Discovering OpenClaw and the shift toward agent-driven software
05:06 Building a CLI so agents can control Postiz
05:51 The viral “Larry” OpenClaw agent story
07:48 Why agents need strong documentation and skills
09:18 Turning a full API into a simple CLI with Claude
11:51 Why CLI tools may become the default interface for agent startups
12:45 The next startup idea: agent-native UGC video generation
13:03 Why CLI reduces token usage compared to APIs
16:21 Using Claude to build the CLI automatically
17:06 Postiz reaches $45K MRR

In this episode of The Next New Thing, Andrew Warner talks with Nevo David, the creator of Postiz, about how his revenue jumped to $45K+ MRR after a surprising shift: he stopped building primarily for humans and started building for agents.