Uploaded February 2026 | Updated September 2026, 1 week ago
I take Perplexity Computer for its first real spin and test five use cases that founders can use right now to make money and move faster. I connect my Gmail live, let the AI send cold outreach on my behalf, set up daily competitive intelligence monitoring, research 50 VCs for a mock Series A, and kick off a full investment memo on Shopify, all in a single session. By the end, I walk away genuinely impressed and convinced the $200/month Max plan can pay for itself with one closed deal.
Timestamps
00:00 – Intro
00:35 – What We're Testing Today
02:35 – Use Case 1: Warm Outbound at Scale
15:31 – Use Case 2: Automated Competitive Intel
25:11 – Use Case 3: Investor Pipeline Research (50 VCs)
26:58 – Use Case 4: Turn a Podcast Into a Content Machine
31:39 – Use Case 5: Live Market Diligence (Shopify Investment Memo)
34:17 – Bonus: Additional Use Cases Worth Trying
36:06 – Closing Thoughts and Takeaways
Key Points
* Perplexity Computer runs multiple research tasks in parallel using sub-agents, skills, and tools — functioning like a virtual analyst working across the open internet.
* The cold outreach workflow found real email addresses, researched each prospect's recent activity, and drafted hyper-personalized emails that reference specific details — then sent them through a connected Gmail account.
* Setting up recurring competitive intelligence monitoring (daily reports, weekly sponsor tracking) is where the tool shifts from a one-off assistant to a persistent agent running on autopilot.
* The VC pipeline research use case demonstrates how founders who lack a warm network can still build a structured, targeted investor list with fund sizes, thesis alignment, and partner contacts.
* At $200/month on the Max plan, the cost pays for itself if even one sponsorship deal or investor meeting closes from the outreach.
* The platform already supports connectors for Gmail, Google Drive, Slack, HubSpot, Ahrefs, Reddit, and more — making it a serious contender for centralized founder workflows.
Numbered Section Summaries
1. Setting the Stage: A Live, Unscripted Test
I make it clear up front that I have never used Perplexity Computer before. I ask it to generate five founder-specific use cases, and I commit to testing each one live so the audience can see exactly what works and what falls short.
2. Warm Outbound at Scale
I feed Perplexity a prompt to find companies that advertise on TBPN, identify the right contacts, and draft personalized cold emails for podcast sponsorships. The tool researches five companies in parallel, finds email addresses, and writes outreach that references each prospect's recent tweets, interviews, and funding news.
3. Going Beyond the First Email
I push the tool further by asking it to target partnership and brand marketing leads instead of CEOs, set up follow-up sequences at day three and day seven, and build a recurring weekly monitor that catches new sponsors across competing tech podcasts the moment their budget is active.
4. Automated Competitive Intelligence
I set up a daily 8 AM monitoring task across five podcasts (My First Million, All In, TBPN, 20 VC, and Acquired). Perplexity checks for new episodes, guest announcements, pricing changes, and notable social media activity — then sends a report only when something meaningful changes.
5. Delivery and Notification Gaps
I probe whether the tool can send reports via email or iMessage. Email works through the Gmail connector, but iMessage is unavailable. I note that platforms like Lindy AI and OpenClaw have an edge here because they let you interact through iMessage, Telegram, and Discord.
6. Investor Pipeline Research
I role-play as the co-founder of Idea Browser raising a Series A. Instead of supplying a VC list, I ask Perplexity to identify the best-fit firms on its own. It maps the company to AI tools, creator economy, and community platform sectors, then researches firms like Bessemer and Union Square Ventures in parallel.
7. Live Market Diligence on Shopify
I request a full investment memo — financials, earnings highlights, margin comparisons against BigCommerce and Wix, analyst sentiment, bull and bear cases — compiled into a PDF with charts. The tool loads data visualization skills, pulls in CSV price history, and spins up sub-agents to build the report.
The #1 tool to find startup ideas/trends - ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: thevibemarketer.com
FIND ME ON SOCIAL
X/Twitter: twitter.com/gregisenberg
Instagram: instagram.com/gregisenberg
LinkedIn: linkedin.com/in/gisenberg
I take Perplexity Computer for its first real spin and test five use cases that founders can use right now to make money and move faster. I connect my Gmail live, let the AI send cold outreach on my behalf, set up daily competitive intelligence monitoring, research 50 VCs for a mock Series A, and kick off a full investment memo on Shopify, all in a single session. By the end, I walk away genuinely impressed and convinced the $200/month Max plan can pay for itself with one closed deal.
Timestamps
00:00 – Intro
00:35 – What We're Testing Today
02:35 – Use Case 1: Warm Outbound at Scale
15:31 – Use Case 2: Automated Competitive Intel
25:11 – Use Case 3: Investor Pipeline Research (50 VCs)
26:58 – Use Case 4: Turn a Podcast Into a Content Machine
31:39 – Use Case 5: Live Market Diligence (Shopify Investment Memo)
34:17 – Bonus: Additional Use Cases Worth Trying
36:06 – Closing Thoughts and Takeaways
Key Points
* Perplexity Computer runs multiple research tasks in parallel using sub-agents, skills, and tools — functioning like a virtual analyst working across the open internet.
* The cold outreach workflow found real email addresses, researched each prospect's recent activity, and drafted hyper-personalized emails that reference specific details — then sent them through a connected Gmail account.
* Setting up recurring competitive intelligence monitoring (daily reports, weekly sponsor tracking) is where the tool shifts from a one-off assistant to a persistent agent running on autopilot.
* The VC pipeline research use case demonstrates how founders who lack a warm network can still build a structured, targeted investor list with fund sizes, thesis alignment, and partner contacts.
* At $200/month on the Max plan, the cost pays for itself if even one sponsorship deal or investor meeting closes from the outreach.
* The platform already supports connectors for Gmail, Google Drive, Slack, HubSpot, Ahrefs, Reddit, and more — making it a serious contender for centralized founder workflows.
Numbered Section Summaries
1. Setting the Stage: A Live, Unscripted Test
I make it clear up front that I have never used Perplexity Computer before. I ask it to generate five founder-specific use cases, and I commit to testing each one live so the audience can see exactly what works and what falls short.
2. Warm Outbound at Scale
I feed Perplexity a prompt to find companies that advertise on TBPN, identify the right contacts, and draft personalized cold emails for podcast sponsorships. The tool researches five companies in parallel, finds email addresses, and writes outreach that references each prospect's recent tweets, interviews, and funding news.
3. Going Beyond the First Email
I push the tool further by asking it to target partnership and brand marketing leads instead of CEOs, set up follow-up sequences at day three and day seven, and build a recurring weekly monitor that catches new sponsors across competing tech podcasts the moment their budget is active.
4. Automated Competitive Intelligence
I set up a daily 8 AM monitoring task across five podcasts (My First Million, All In, TBPN, 20 VC, and Acquired). Perplexity checks for new episodes, guest announcements, pricing changes, and notable social media activity — then sends a report only when something meaningful changes.
5. Delivery and Notification Gaps
I probe whether the tool can send reports via email or iMessage. Email works through the Gmail connector, but iMessage is unavailable. I note that platforms like Lindy AI and OpenClaw have an edge here because they let you interact through iMessage, Telegram, and Discord.
6. Investor Pipeline Research
I role-play as the co-founder of Idea Browser raising a Series A. Instead of supplying a VC list, I ask Perplexity to identify the best-fit firms on its own. It maps the company to AI tools, creator economy, and community platform sectors, then researches firms like Bessemer and Union Square Ventures in parallel.
7. Live Market Diligence on Shopify
I request a full investment memo — financials, earnings highlights, margin comparisons against BigCommerce and Wix, analyst sentiment, bull and bear cases — compiled into a PDF with charts. The tool loads data visualization skills, pulls in CSV price history, and spins up sub-agents to build the report.
The #1 tool to find startup ideas/trends - ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: thevibemarketer.com
FIND ME ON SOCIAL
X/Twitter: twitter.com/gregisenberg
Instagram: instagram.com/gregisenberg
LinkedIn: linkedin.com/in/gisenberg



![I Built an AI Content Agent With N8N and Claude (Step-by-Step)
Join me as chat I with The Boring Marketer as we demonstrate a complete n8n workflow automation that can save content creators 10-15 hours weekly by scraping top-performing content, generating new content ideas, and publishing to social. The system uses N8N to orchestrate multiple AI tools that research, write, and even create images for posts, with an optional human review step before publishing.
Build an AI Content Automation in n8n: https://www.gregisenberg.com/ai-content-automation
Get ideas, tools, and tactics to 10x your marketing: https://www.skool.com/the-vibe-marketers
Timestamps:
00:00 - Intro
01:58 - Why use this Content AI Agent
03:05 - Demoing the n8n workflow
03:33 - Explanation workflow stages
04:52 - Appify for content scraping
05:57 - Researching Viral Content
06:59 - Content curation and Idea generation
11:47 - Overview of OpenRouter for accessing multiple LLMs
13:23 - Claude 3.7 Sonnet for content creation
14:23 - Prompting Tips
18:05 - Demo of the human review/posting process
22:33 - Get free workflow template
Key Points:
• The workflow uses N8N to automate content creation by scraping top-performing content from YouTube and X (Twitter)
• The system processes this data through various LLMs (including Claude and OpenAI) to generate original content ideas
• The workflow can automatically create and publish LinkedIn posts with minimal human intervention
• Tools mentioned include Appify (for scraping), OpenRouter (for accessing multiple LLMs), and Claude 3.7 Sonnet (for writing)
1) THE PROBLEM:
Creating quality content across multiple platforms is EXHAUSTING.
Most marketers waste hours researching, writing, and publishing—only to get mediocre results.
What if AI could do the heavy lifting while you focus on strategy?
Thats exactly what this workflow solves!
2) THE WORKFLOW OVERVIEW:
This N8n automation has 4 key stages:
• Data collection from YouTube & X
• Content idea generation
• Research & validation
• Content creation & publishing
All with minimal human input! Lets dive deeper...
3) STAGE 1: DATA COLLECTION
The workflow uses Appify to:
• Scrape top-performing YouTube videos on your topic
• Transcribe video content automatically
• Pull relevant tweets from X
• Compile everything into one massive data block
This gives your AI REAL context about whats working!
4) STAGE 2: IDEA GENERATION
Once you have the data, the workflow:
• Feeds everything to an OpenAI LLM
• Analyzes patterns in high-performing content
• Generates fresh angles and hooks
• Identifies optimal content formats
No more staring at blank screens wondering what to write!
5) STAGE 3: RESEARCH & VALIDATION
This is where it gets POWERFUL:
• Uses Perplexity (via OpenRouter) to find facts & stats
• Validates content ideas with real-world data
• Prevents AI hallucinations
• Adds credibility to your content
Your posts will be backed by ACTUAL research!
6) STAGE 4: CONTENT CREATION
The workflow uses Claude 3.7 Sonnet (the BEST writing AI right now) to:
• Create a complete LinkedIn post
• Generate an accompanying image
• Format everything properly
• Send to you for approval via Slack
One click and its published!
7) PRO TIPS FROM @boringmarketer:
• Give AI specific brand voice instructions
• Tell it to avoid corporate jargon and fluff
• Ban those AI-looking dashes ( )
• Mention conversion copywriting for better hooks
• Include a human review step before publishing
8) WHY THIS ACTUALLY WORKS:
Unlike basic ChatGPT prompts, this workflow:
• Uses VALIDATED content ideas (not guesses)
• Leverages data from top-performing posts
• Matches your authentic voice
• Creates content that passes the AI detection test
People cant tell its AI-generated!
Notable Quotes:
Instead of starting from scratch, go and find things that are already performing. Thats similar to trying to create a startup idea too. You want to find things that are already working so you can shortcut that and take those learnings and make it your own. - Boring Marketer
The problem is people dont give it [Claude] enough context. And then theyre like, this is garbage. - Greg Isenberg
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn what if into reality with AI, apps, and next-gen products https://latecheckout.agency/
BoringMarketing — Vibe Marketing for Sale: https://www.thevibemarketer.com
Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.co
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
FIND THE BORING MARKETER ON SOCIAL
X/Twitter: https://x.com/boringmarketer
LinkedIn: https://www.linkedin.com/in/jadickerson/ I Built an AI Content Agent With N8N and Claude (Step-by-Step)](https://i.ytimg.com/vi/m9iaJNJE2-M/mqdefault.jpg)



![How Id use Sora 2 + Claude to hit 1M+ views on AI videos
Get My Guide to Creating Viral Sora 2 Videos: https://startup-ideas-pod.link/sora2-guide
On this episode I share a comprehensive framework for creating viral videos using Sora 2, Perplexity, and Claude. The process involves researching viral formats with Perplexity, using Claude to generate and evaluate video concepts based on audience psychology, and finally implementing those concepts with Sora 2.
Timestamps:
00:00 - Intro
01:32 -Why Sora 2 gives you an unfair advantage
03:02 - Using Perplexity as a research agent
06:07 - Generating concepts with Claude
09:15 - Evaluating concepts for viral potential
14:51 - Implementing prompts in Sora 2
18:10 - Final thoughts and demonstration
Key Points:
• A three-step workflow using Perplexity for research, Claude for prompt creation, and Sora 2 for video generation
• Creating viral content gives startups an unfair advantage in distribution and attention
• Evaluating video concepts against engagement criteria (hook strength, emotional triggers, algorithm fit)
• Testing multiple AI-generated concepts to find what resonates with your target audience
1) Why This Matters
Distribution is the new moat in 2024.
Just like people who mastered:
• YouTube (2006-2012)
• Instagram (2012-2019)
• Twitter (2019-2023)
Those who master Sora 2 will build attention empires that fuel their startups.
The goal? Create viral videos → capture attention → sell products.
2) The 3-Tool Framework
Gregs viral video creation system uses:
• Perplexity → Research agent to identify viral formats
• Claude → Prompt engineer to craft perfect Sora instructions
• Sora 2 → Video generation engine
This workflow ELIMINATES the blank page problem and gives you data-backed concepts.
3) Step 1: Research with Perplexity
Use this prompt template:
I run [your startup]. It does [what it does]. Need to create short-form video that will go viral. Need scroll-stopping concepts for my audience of [audience description] who long for [core desire]. What kind of short-form will get engagement?
Add deep research for best results!
4) What Perplexity Delivers
Perplexity will analyze what ACTUALLY works for your audience, including:
• Psychological triggers (FOMO, validation-seeking)
• Content frameworks that convert
• Hook structures that stop scrolling
• Examples of viral formats in your niche
This is GOLD for understanding what resonates!
5) Step 2: Generate Concepts with Claude
Copy ALL the Perplexity research into Claude with this prompt:
You are a skilled social media strategist. Using these insights, brainstorm 10 creative short-form video concepts for my brand.
The key? Youre leveraging AI to generate IDEAS before touching Sora.
6) The Secret Sauce: Concept Evaluation
THIS is where most people fail.
Ask Claude to evaluate each concept on:
• Hook strength (1-10)
• Pattern interrupts
• Emotional triggers
• Algorithm fit
• Trend friendliness
Then get Claude to rank your top 3 concepts with specific reasons WHY theyll work.
7) Step 3: Craft Optimized Sora Prompts
Dont write Sora prompts yourself!
Ask Claude: Make these Sora 2 optimized. How can I use Soras capabilities to make this scroll-stopping? Give me prompts for the top 2 concepts.
Claude will research Soras capabilities and craft DETAILED prompts that leverage its strengths.
8) Sora 2 Pro Tips
• Use Sora on web (not just mobile) for longer prompts
• Aim for 10-15 second videos (current limit)
• Include spoken dialogue labels
• Specify on-screen text explicitly
• Describe visual elements in detail
Remember: Vine was only 6 seconds and created STARS!
9) Iteration is Key
Your first Sora video probably wont be perfect.
The real magic happens when you:
• Test different visual styles
• Adjust pacing
• Try different hooks
• Keep asking Claude for prompt improvements
What would normally cost $1000s to produce now takes minutes!
10) Real Example: The Results
Greg tested this exact process for @ideabrowser:
• Created a Notion clone tutorial concept
• Generated curiosity-driven hooks
• Produced a professional-looking ad in minutes
• No design skills needed!
The result? Videos that drive clicks at a fraction of the cost.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn what if into reality with AI, apps, and next-gen products https://latecheckout.agency/
Boringmarketing - Vibe Marketing for Companies: http://boringmarketing.com/
The Vibe Marketer - Join the Community and Learn: http://thevibemarketer.com/
Startup Empire - get your free builders toolkit to build cashflowing business -
https://startup-ideas-pod.link/startup-empire-toolkit
Become a member -
https://startup-ideas-pod.link/startup-empire
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/ How Id use Sora 2 + Claude to hit 1M+ views on AI videos](https://i.ytimg.com/vi/nt8gUax1Aj0/mqdefault.jpg)


