Eliot Prince is an SEO specialist with 10+ years of experience ranking businesses at the top of Google. He's now deep in the AI world, coaching businesses on how to do SEO faster and better using AI tools. In this episode, Eliot walks through how he's using Perplexity Computer to build repeatable SEO machines — systems that audit websites, generate deliverables, and even push changes live to WordPress, all from a single conversation.

We run a live audit on ReturnMyTime.com, watch three audit modules execute in parallel, and dig into the results — competitive analysis, keyword gaps, technical fixes, and auto-generated page copy. Eliot also demos a LinkedIn lead machine he built that reads DMs, scores leads, and drafts replies automatically using Perplexity's Linkup API connector.

The big takeaway: Perplexity Computer runs 19 LLM agents in the cloud simultaneously, meaning you can build systems that would traditionally take weeks of manual work or expensive SEO tool subscriptions - and you don't need to write a single line of code to do it.

Find Eliot YouTube's channel here:@princeeliot

James Dickerson (AKA The Boring Marketer) has been consulting businesses on marketing and growth since 2012 — and he's now using Claude Code to do what used to require a $5-10K/month agency. In this episode, James goes screen-share and builds a complete marketing funnel live from scratch: a landing page, a quiz funnel, a 14-day email nurture sequence, and dozens of social and SEO content assets — all inside Claude Code with zero coding.

We break down the psychology behind high-converting email sequences (micro commitments, reciprocity, objection handling), how James's "skills" system encodes expert marketing knowledge into portable AI instruction files, and why anyone with these tools can immediately outperform 80% of marketers. If you've been procrastinating on Claude Code, this is your sign to just download an IDE and start.

X: https://x.com/BoringMarketer
Website: https://vibemarketer.com

Youtube: @theboringmarketer

Grab the free one-page OpenClaw setup guide with every step and command listed out: https://corey-ganim.kit.com/c93f43577e

I walk through the complete OpenClaw setup process from zero to a working AI agent connected to Telegram — all in under seven minutes. You'll see every step: running the installer, configuring your Anthropic API key, creating a Telegram bot through BotFather, pairing it to your OpenClaw instance, and enabling web search with DuckDuckGo. One prerequisite, one terminal command, and you're live.

Key Takeaways:

• OpenClaw installs with a single terminal command — the only prerequisite is having Node.js installed, which is also a one-command setup
• The guided onboarding handles every configuration decision (model, API key, channel, search) through simple yes/no prompts — no manual config files
• Creating a Telegram bot through BotFather takes about 60 seconds: message BotFather, run /newbot, choose a name ending in "bot," and copy the token
• DuckDuckGo is the fastest search provider to start with because it requires zero additional API keys or setup
• Skills and hooks can be added after the initial install — you don't need to configure everything before getting your agent running
• The OpenClaw control panel gives you a browser-based chat window plus access to channels, sessions, usage stats, cron jobs, files, skills, and nodes

Timestamps:

00:00 - Introduction

00:02 - Running the OpenClaw installer from the terminal 00:30 - Node.js prerequisite (quick install)

00:45 - Guided onboarding: Quick Start setup

01:05 - Choosing Anthropic as your model provider

01:20 - Entering your Anthropic API key

01:35 - Selecting Claude Sonnet 4.6

01:52 - Creating a Telegram bot with BotFather

02:45 - Naming your bot and choosing a username

03:15 - Connecting the bot token to OpenClaw

03:30 - Enabling DuckDuckGo web search

03:45 - Skipping skills and hooks (configurable later)

04:06 - OpenClaw control panel overview

04:30 - First chat with your bot in the browser

05:15 - Pairing the bot with your Telegram account

06:10 - First Telegram message confirmed

06:30 - Setup complete — next steps for personalization

Links Mentioned:

• OpenClaw: https://openclaw.ai
• Anthropic API Console: https://console.anthropic.com
• BotFather (Telegram): https://t.me/BotFather
• DuckDuckGo: https://duckduckgo.com
• Node.js: https://nodejs.org

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What if you could describe an automation in plain English and get a fully functional web app back in 15 minutes? In this episode, Kevin Fernando walks through exactly how he built a daily social media post generator using a tool called Appy. The agent researches trending stories in your niche every morning at 7 AM, writes platform-specific posts in your voice (not generic AI slop), generates properly sized images for each platform, and emails you the drafts. Kevin built it live, deployed it to the web, and even had Corey sign up and generate posts in real time during the episode. If you've been building automations in Make.com or N8N, this is the next evolution.

Kevin Fernando a 20-year entrepreneur, former head of marketing for multiple SaaS companies, e-commerce store builder/seller, and former agency owner (six years). Kevin now runs the Solopreneur YouTube channel where he teaches entrepreneurs how to get more leverage from AI tools and software without needing a team.

• YouTube: youtube.com/solopreneur
  
  Kevin just dropped the full step-by-step Appy tutorial on his channel. Watch it here and grab the exact prompt he used:
  Full Tutorial: https://youtu.be/eOkSQgh5UJo
  Grab the Prompt: https://solopreneur2020.kartra.com/page/appy-prompt

Corey puts two leading agentic AI tools head-to-head in a real-world showdown. He tests Perplexity Computer ($200/month) against Manus ($20/month) across three practical use cases: multi-source research with website deployment, connected app integrations with Google Workspace, and data collection with visualization. You'll see exactly how each tool performs on speed, accuracy, output quality, and which one earns Corey's recommendation for 2026.

Join the Build With AI community waitlist: https://return-my-time.kit.com/1bd2720397

• Perplexity Computer completed tasks 5-10x faster than Manus across most tests — finishing in 60 seconds what took Manus 10 minutes

• Both tools nailed data accuracy when researching AI startup funding, pulling identical figures from TechCrunch

• Perplexity's Google Workspace integration produced cleaner, properly formatted deliverables (tables, headers, structured docs) while Manus output jumbled text

• For website deployment, Manus actually had slightly better UI design — but both successfully created shareable public URLs

• When stuck, Perplexity self-corrected and found the data; it recovered gracefully from errors

• ClickUp was recommended by both tools as best value for project management pricing ($12/user/month for Business plan)

• Perplexity Computer wins overall for speed, output quality, and cleaner UI despite the 10x higher price tag

Timestamps:

00:00 - Introduction and test overview

00:30 - Pricing comparison ($200 vs $20 plans)

01:00 - Test 1: Multi-source research + website deployment

14:04 - Test 1 results: Speed comparison (2 min vs 10 min)

16:25 - Website design comparison

18:30 - Test 2: Gmail + Calendar + Google Docs integration

27:14 - Test 2 results: Output quality comparison

29:40 - Perplexity's formatted table vs Manus' jumbled text 32:00 - Test 3: Data collection, analysis, and visualization 39:30 - Test 3 results: Bar charts and pricing spreadsheets 41:52 - Final verdict and recommendation

Links Mentioned:

• Perplexity Computer vs Claude Cowork: https://youtu.be/_s0ymvl6vNc

• Perplexity Computer: https://perplexity.ai/

• Manus: https://manus.im/

What if you could go from a blank folder to a fully functional competitive research tool complete with scoring rubrics, interactive dashboards, and repeatable skills—in under an hour? In this episode, marketing veteran Adam Sandler (yes, that's his real name) shares his screen and builds the entire workflow live using a real-world use case: finding distressed wedding venues in North Carolina for a friend's acquisition business. No coding. No technical background. Just Claude Code, plain English, and a process that any knowledge worker can replicate.

Check Adam's youtube channel:https://www.youtube.com/@ViableEdge

Nick Spisak, a 15-year software veteran turned AI entrepreneur, walks through the complete OpenClaw setup for non-technical users. You'll learn how to install your first instance, give it skills that read documentation for you, and troubleshoot any issue using natural language. Nick even gives away his "OpenClaw Prime" skill that turns any coding agent into an OpenClaw expert, plus a visual step-by-step diagram.

• OpenClaw Prime Skill: https://corey-ganim.kit.com/f1f13dee60

• Excalidraw Setup Diagram: https://corey-ganim.kit.com/ab1cc7ab21

Key Takeaways:

• Build a skill that reads the docs so you don't have to. Nick's "OpenClaw Prime" skill makes Claude Code or Codex an instant OpenClaw expert.

• Troubleshooting works 100% of the time. Point your coding agent at your OpenClaw files, describe the issue in plain English, and let it fix itself.

• Skills are portable across models. Write it once for Codex, ask AI to convert it for Claude Code or Gemini.

• Spend 90% of your time in planning mode. Use Shift+Tab to enter plan mode and remove assumptions before execution.

• Real business use case: AI receptionist. Set up OpenClaw on WhatsApp to respond to leads while you're on a job site. One extra $10K roofing lead pays for the whole system.

• Telegram is the easiest platform to connect. Message the Bot Father, get your token, plug it into OpenClaw.

• Customize your agent's personality via the Soul file. Make it concise, opinionated, and aligned with how you work.

Timestamps:

00:00 - Introduction and what you'll learn

01:02 - Using Claude Cowork + Excalidraw for planning

03:46 - WhisperFlow: talk to your terminal with natural language

06:30 - OpenClaw Prime skill explained

08:41 - Why skills teach AI to "fish" (not just follow tutorials)

11:02 - Live troubleshooting demo: bringing Annie back online

13:44 - Claude Code vs Codex (skills are portable)

16:44 - Planning vs execution mode (the 90/10 rule)

19:21 - Real business use cases: AI receptionist for contractors

23:28 - 100% success rate troubleshooting (even with no code experience)

25:13 - Walkthrough of the Excalidraw setup diagram

27:16 - Setting up Telegram (easiest platform)

28:51 - Soul file and agent identity customization

30:26 - Wrap up and where to get free resources

Links & Resources Mentioned:

• OpenClaw Docs: https://docs.openclaw.ai

• Claude Cowork: https://claude.ai

• WhisperFlow: https://whisperflow.com

• Ghost TTY (Terminal): https://ghostty.org

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Tom Nassr, co-founder and CEO of X-Ray, walks us through building a Zapier Agent from scratch in under 10 minutes. He demonstrates a practical use case: creating an AI agent that scans Gmail for specific emails and delivers a weekly summary to Slack. You'll learn the key difference between Zapier Agents and traditional Zaps, when to use each, and how to think about deterministic vs. non-deterministic automation.

Check Tom's youtube channel: https://youtube.com/@xrayautomation

Resources Mentioned:

• Zapier: https://zapier.com/

• X-Ray Website: https://xray.tech/

• X-Ray Search Tool (free): https://search.xray.tech/