The Startup Ideas Podcast

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Building AI Agents (Clearly Explained) Apr 08, 2026

Show notes

I sit down with Ras Mic to break down how AI agents actually work and why most people are using them wrong. Ras Mic explains the mechanics of context windows, makes the case that agent md files are largely unnecessary, and shares his step-by-step methodology for building custom skills that make agents dramatically more productive. Whether you're coding with Claude Code or automating workflows with OpenClaw, this episode gives you the foundational knowledge to stop wasting tokens and start getting real results from your AI tools.

Timestamps

00:00 – Intro

00:42 – The Models Are Good Now

01:20 – How Context Windows Actually Work

04:55 – The Power of Skills

09:17 – How to create Skills

16:35 – Skill Maxxing

19:05 – What you need too build a project

20:40 – Recursively Building and Improving Skills

29:23 – Context Window Management and Token Efficiency

33:02 – Closing Thoughts

Key Points

The models (Opus 4.6, GPT 5.4) are exceptionally good now — the differentiator is the context and harness you build around them.
Agent md and claude md files get loaded into context on every single turn, burning tokens and degrading performance as the context window fills up. 95% of users can skip them entirely.
Skills use progressive disclosure: only the name and description sit in context until the agent determines it needs the full file, saving thousands of tokens per conversation.
The best way to create a skill is to walk through the workflow with the agent step by step, achieve a successful run, and then have the agent write the skill based on that real context.
Recursively refine skills by feeding failures back into the agent and having it update the skill file so the same mistake is avoided going forward.
Scale for productivity by starting with one agent and building up workflows before adding sub-agents — start simple, then expand.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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Youtube: https://www.youtube.com/@rasmic

How I use Lindy AI to run my life Apr 06, 2026

Show notes

I sit down with Flo, founder of Lindy, to get a live demo of their new product, Lindy Assistant, an AI executive assistant that lives in iMessage and works proactively across email, calendar, Slack, Notion, and 100-plus other tools. Flo walks me through a real day of his own Lindy usage, showing how it drafts email replies, prepares meeting briefs, updates CRMs, and handles calendar changes without being asked. We compare Lindy to OpenClaw and Claude's ecosystem, talk pricing, edge-case power users, and where Lindy goes over the next five years.

Try the ultimate AI assistant: https://startup-ideas-pod.link/lindy

Timestamps

00:00 – Intro

01:09 – What Lindy Assistant is and why Flo built it

02:27 – The daily morning brief

05:16 – Setup: two steps, two minutes, out of the box

05:53 – Get the most out of Lindy Assistant

09:42 – My three assistant use cases: research, scheduling, and sales leads

15:51 – Lindy vs. OpenClaw

17:57 – Lindy vs. Claude ecosystem

19:51 – Where Lindy goes over the next five years

23:42 – Integrations overview (100-plus tools)

24:42 – What Lindy does well and what it does not replace

26:52 – Pricing: starts at $49/month

27:15 – How power users are using Lindy

28:18 – Voice memos, incoming phone calls, and outbound calls

30:00 – How to use Lindy alongside a human executive assistant

Key Points

Lindy Assistant lives in iMessage, connects to email, calendar, Slack, Notion, and 100-plus other apps, and acts proactively without being prompted.
Setup takes two minutes: provide a phone number and connect a Google account, and Lindy ingests existing email and tool data immediately.
Lindy pre-drafts email replies, preps meeting briefs, updates CRMs after calls, flags billing issues, and reschedules dinners at closed restaurants — all without user initiation.
The voice and tone of the assistant took extensive prompt engineering; the lowercase, casual register is intentional and difficult to achieve with current models.
Lindy targets the "chief everything officer" — the overwhelmed founder or executive — rather than developers or power users who want a fully programmable agent.
Pricing starts at $49/month for 90-plus percent of users; heavy users can exceed that and are prompted to upgrade.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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Lindy: https://www.lindy.ai

23 AI Trends keeping me up at night Apr 01, 2026

Show notes

I go solo on this episode to walk through the full list of AI trends and opportunities keeping me up at night — literally. From the one-hour company stack to ambient businesses, vertical AI, the agent economy, and the real security threats I see coming, I cover what I believe is the most asymmetric window in startup history. I share the frameworks I use to think about what to build, what to avoid, and why acting now matters more than waiting for things to settle down.

Timestamps

00:10 – Intro
01:09 – 1) The One-Hour Company Stack
02:09 – 2) Old vs. new startup timeline
03:58 – 3) Ambient businesses and autonomous companies
05:18 – 4) The agent economy timeline
07:17 – 5) Agent hiring Agents
08:01 – 6) The Vertical Agent Map
09:39 – 7) Vertical AI vs. Vertical SaaS
10:53 – 8) Boring goldmine verticals
11:40 – 9) SaaS Pricing Evolution
13:26 – 10) Seat-Based vs Outcome-Based
14:51 – 11) The SaaS graveyard
16:04 – 12) The scarcity flip
17:03 – 13) The Premium Stack
18:21 – 14) The experience economy boom
18:59 – 15) Founder-agent fit
20:32 – 16) Ghost team org chart
21:56 – 17) The micro monopoly math
24:00 – 18) Agent attack surface
25:19 – 19) Agent Injection vs Phishing
26:34 – 20) Agent permission stack
27:37 – 21) The closing window
28:46 – 22) why this window is asymmetric
29:34 – 23) Building in public
30:50 – Final Thoughts

Key Points

I can build, launch, and get a first customer in under an hour using today's agent engineering tools and a pre-existing audience.
Vertical AI taps directly into labor P&L — it replaces headcount, not just software licenses — making the TAM 10x larger than vertical SaaS.
Ambient businesses running on near-zero daily human input are early but real; the arrow of progress points here.
The value shift I see coming: execution gets commoditized, judgment and physical presence become premium.
Agent injection is the new phishing — and I believe it scales faster and hits harder than any phishing attack did.
The 100 true fans model now applies in the AI age; with agents cutting costs, 100 paying customers at $500–$1,000 a month builds a real business.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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Making $$ with AI Marketing Mar 30, 2026

Show notes

I break down the seven distribution strategies every vibe coder and builder needs to actually get customers. With 200,000 new projects launching daily on platforms like Lovable, the real bottleneck is distribution and I believe the wealthiest people over the next decade will be marketers, because code is now commoditized. I walk through each strategy with step-by-step instructions you can start this week, from MCP servers and programmatic SEO to acquiring newsletters and building AI repurposing engines.

Timestamps

00:00 – Intro

01:07 – The Great Flip: Distribution Over Engineering

03:08 – The Build-First Trap

04:18 – Strategy 1: MCP Servers as Your Sales Team

06:49 – Strategy 2: Programmatic SEO (10,000 Pages)

10:09 – Strategy 3: Free Tool as Top of Funnel

13:03 – Strategy 4: Answer Engine Optimization (AEO)

15:48 – Strategy 5: Viral Artifacts (Make Outputs Shareable)

18:56 – Strategy 6: Buy a Niche Newsletter

21:40 – Strategy 7: AI Content Repurposing Engine

25:13 – Final Takeaways

Key Points

Distribution is the new moat — AI can build the product, but it can't build your audience or brand.
Building an MCP server in 2026 is like building for mobile in 2010; early movers will own AI-native distribution channels.
Programmatic SEO can scale to 300,000 monthly visitors if you create 10,000 quality pages that each pull just 30 visits a month.
Free tools act as always-on marketing: you can vibe code one in a day, ship it by lunch, and it markets itself forever.
Answer engine optimization (AEO) is where SEO was in 2010 — Peter Levels saw AI referrals jump from 4% to 20% in one month.
You can buy a 10,000-subscriber niche newsletter for $5,000–$20,000 and inherit a direct channel to your exact audience on day one.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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I Built an AI Agent Company (From Scratch) Mar 26, 2026

Show notes

I sit down with Dotta, the pseudonymous co-founder of Paperclip, the open-source agent orchestrator that exploded to 30,000 GitHub stars in under three weeks. We walk through a live demo where I pick a startup idea from my idea browser and we spin up a full AI-agent company in real time — hiring a CEO, founding engineer, QA agent, video editor, and content strategist inside Paperclip. Dotta shares practical tips on agent configuration, memory systems, skill installation, and the "Memento Man" mental model for keeping agents on track. The conversation covers everything from token spend management and agentic design patterns to the future of importable, shareable companies and the upcoming Maximizer Mode.

Skills to build your agent team: https://startup-ideas-pod.link/skill-suite

Timestamps:

00:00 Intro

02:32 What is Paperclip

04:21 Choosing a Startup Idea for the Demo

05:48 Setting Up your agents

07:51 Hiring Your First Agent and Creating a Plan

12:39 Agent Configuration and Persona Setup

17:08 Skills: Installing and Managing Agent Capabilities

21:02 How to Get Top-Quality Output from Agents

24:05 Token Spend Tracking and Subscription Usage

25:49 Agentic Design Patterns and QA Loops

29:05 Taste and Values: What AI Still Cannot Do

30:09 How Many Agents Run the Paperclip Project

32:32 Routines: Automating Recurring Agent Tasks

36:36 Who Is Using Paperclip Today

38:57 Shareable and Importable Companies

42:49 The Unproven Frontier: Do Agent Orgs Actually Work?

42:49 Maximizer Mode and What's Next

44:29 Did Dotta Expect It to Go This Viral?

Key Points

Paperclip is a bring-your-own-bot orchestrator: it works with Claude Code, Codex, OpenCode, and any model on OpenRouter, so you are not locked into a single provider.
AI agents are "Memento Man" — they wake up capable but with zero memory, so you need heartbeat checklists, persona prompts, and written context to keep them effective.
The biggest lever for quality output is encoding your own taste and values into agent skills and brand guides, because AI can do everything except know what you actually want.
Agentic design patterns like engineer-to-QA review loops matter more than one-shotting an entire startup; structure prevents compounding errors.
Paperclip tracks every token spent and every task completed, solving the problem of running dozens of agent windows with zero accountability.
Importable, shareable company templates (like Gary Tan's G-Stack or a full game studio) point toward a future where you "aqua-hire" proven agent teams instead of building from scratch.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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Paperclip: https://paperclip.ing

Github: https://github.com/cryppadotta

What is Firecrawl? Mar 24, 2026

Show notes

I break down Firecrawl and it solves AI’s biggest blind spot, access to clean web data. I walk through the full AI agent stack every builder needs, explain why this is the "AWS moment" for web data, and share a dozen startup ideas you can build this week using Firecrawl for scraping, enrichment, and automation. Whether you want to launch a niche SaaS, a lead gen service, or a data-as-a-service business, this episode gives you the frameworks and the specifics to get started.

Shoutout Firecrawl - Turn websites into LLM-ready data: https://startup-ideas-pod.link/firecrawl

Timestamps

00:00 – Intro

02:14 – Why this matters now

07:40 – What is Firecrawl

11:20 – How does Firecrawl work

12:57 – The Agent Stack

14:35 – 7 Startup Ideas

24:01 – Firecrawl Hired an AI Agent as an Employee

26:24 – Final Thoughts

Key Points

AI models are only as good as the data they can access — clean, structured web data is the new critical infrastructure.
Firecrawl replaces thousands of lines of custom scraping code with a single API call that returns clean markdown, structured JSON, and screenshots.
The biggest opportunity is taking horizontal SaaS categories (SEO tools, job boards, price trackers) and building hyper-niche versions using Firecrawl at a fraction of the cost.
I think about the AI agent stack in five layers: agent harness, search layer, web data layer, ops brain, and outbound/audience stack.
The real business model is selling the data output, not the tool — you can charge $200 to $5,000 per month per client with margins above 95%.
Vertical software always wins because people pay for specificity; Constellation Software built a ~$75 billion company on this principle.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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My OpenClaw setup that finally works (Complete Walkthrough) Mar 19, 2026

Show notes

I sit down with Moritz Kremb, an OpenClaw power user and agency builder based in Berlin, to break down how to actually make OpenClaw useful. Moritz walks through a 10-step optimization guide covering everything from troubleshooting and memory management to model selection and security basics. He then demos two real systems he built with OpenClaw: a full short-form video content pipeline and a conversational CRM. This episode is for anyone who tried OpenClaw, hit a wall, and wants a clear path to turning it into a superhuman digital employee.

Timestamps

00:00 – Intro and episode promise

02:17 – What is OpenClaw

03:17 – OpenClaw vs. ChatGPT vs. Claude Code

07:43 – Where Claude Cowork and Dispatch fit in

09:47 – Why choose OpenClaw over Cowork

11:03 – Step 1: Setting up OpenClaw

14:46 – Step 2: Personalize your workspace files

18:04 – Step 3: Fix and optimize memory

22:43 – Step 4: Choose the right model (OAuth method)

25:56 – Anthropic ban and model provider gray areas

27:33 – Step 5: Organize Telegram groups and topics

30:19 – Step 6: Understand the three browser modes

35:18 – Step 7: Skills — built-in, marketplace, and custom

39:03 – Step 8: Optimize the heartbeat file

42:00 – Step 9: Security basics and prompt injection

48:08 – Step 10: Least access principle and agent-owned accounts

49:52 – Use case 1: No AI Slop content system

58:37 – Use case 2: Conversational CRM

01:01:15 – Final thoughts on the future of personal agents

01:02:55 – Jensen Huang's take: OpenClaw as the new computer

Key Points

Upload the OpenClaw documentation into a Claude project to create a dedicated troubleshooting baseline — it solves roughly 99% of setup issues.
Use the OAuth method (your existing $20 ChatGPT or Anthropic subscription) to avoid expensive API costs, and always configure backup models.
Memory problems are almost always caused by memory never being saved in the first place; add an auto-save instruction to the heartbeat file so it logs every 30 minutes.
Organize your OpenClaw conversations into separate Telegram groups and topics with group-specific system prompts to avoid context bleed.
Stronger models are meaningfully more resistant to prompt injection; pair that with least-access principles and agent-owned accounts for a solid security posture.
Custom skills are the path to real automation — whenever you do something repeatedly, tell your OpenClaw to turn it into a skill.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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X: https://x.com/moritzkremb

Youtube: https://www.youtube.com/@promptwarrior/videos

Instagram: https://www.youtube.com/@promptwarrior/

AI Agents Full Course 59 Minutes (for beginners) Mar 17, 2026

Show notes

I sit down with Remy Gaskell to break down how anyone can build AI agents to run entire departments of their business. Remy walks through the core concepts: agent loops, context files, memory, MCP tool connections, and skills. We put everything together by building a fully functional executive assistant live on screen. This is a beginner-friendly crash course that covers Claude Code, Codex, Cowork, Antigravity, Manus, and OpenClaw, showing that once you understand how to "drive," you can jump into any agent platform. By the end, listeners know exactly how to set up markdown-based context files, connect their everyday tools, and create reusable skills that compound over weeks and months.

Timestamps

00:00 – Intro

01:35 – Agents vs Chat

03:22 – The Agent Loop

05:46 – How Agents work

06:39 – Demoing Agents (Claude Code, Codex, Antigravity)

08:52 – Security and Agent Permissions

10:43 – Comparing Results Across Three Platforms

13:57 – Startup Idea: Cold Email Website Offer

14:50 – Folder Structure and Department-Based Agents

15:52 – Onboarding an Agent Like a Real Employee

17:05 – Voice-to-Text With Monologue and WhisperFlow

18:04 – Chat Memory vs. Agent Memory

19:34 – Building the agents md

22:20 – Context Engineering Over Prompt Engineering

24:29 – How Memory Compounds and Reduces Errors

30:27 – How Big Can memory md Get?

31:43 – Connecting Tools via MCP (Model Context Protocol)

34:49 – Working in Claude Code for High-Value Tasks

37:09 – Why the Real Value Is in Stacking, Not Summarizing

40:04 – What Are Skills? (SOPs for AI)

43:08 – Creating Skills

48:36 – Real-World Example: Ads Analyst Skill: 4-Hour Process in Minutes

50:37 – Chaining Skills together

52:01 – Real-World Example: Automated Car Search

53:34 – OpenClaw and Migrating Agents to More Autonomous Platforms

55:19 – Which Platform Should Beginners Start With?

56:28 – Global vs. Project-Level Skills, Context, and MCPs

Key Points

Agent platforms (Claude Code, Codex, Cowork, Antigravity, Manus, OpenClaw) are all running the same observe-think-act loop under the hood — learning one means you can use any of them.
The shift from chat to agents requires moving from prompt engineering to context engineering: load the agent with rich context so simple prompts produce excellent results.
A memory md file creates a self-improving loop where the agent learns preferences across sessions and makes fewer errors over time.
MCP (Model Context Protocol), built by Anthropic, acts as a universal translator between your agent and every tool it needs — Gmail, Calendar, Stripe, Notion, and more.
Skills are reusable SOPs packaged as markdown files; once you explain a process once, you can invoke it repeatedly, and they compound as you add three to five per week.
Scheduled tasks turn skills into automated workflows — morning briefs, car searches, ad library analyses — that run on a cron without any manual trigger.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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Autoresearch clearly explained (why it matters) Mar 11, 2026

Show notes

I break down Andrej Karpathy's new open-source project, Autoresearch: what it is, how it works, and why some of the smartest people in tech are losing their minds over it. I walk through 10 concrete business ideas you can build on top of Autoresearch loops, from niche agent-in-a-box products to always-on A/B testing agencies. I also cover Karpathy's companion launch, Agent Hub, share community reactions, and show you step by step how to get started using Claude Code and a Colab GPU.

I'm hosting a free workshop so you can build your business in the age of AI.

Links Mentioned:

Autoresearch Github: https://startup-ideas-pod.link/autoresearch

Timestamps

00:00 – Intro

00:45 – How Autoresearch Actually Works

02:40 – Visual Walkthrough of the Autoresearch Loop

03:37 – Mental Model: Your Research Bot That Runs While You Sleep

05:26 – Idea 1: Niche Agent-in-a-Box Products

06:48 – Idea 2: A/B Testing for Marketing (Landing Pages & Ads)

08:45 – Idea 3: Research as a Service

09:43 – Idea 4: Power Tool Inside Your Own SaaS

10:49 – Idea 5: Agency That Runs 100× More Tests

12:05 – Idea 6: Auto Quant for Trading Ideas

13:44 – Idea 7: Always-On Lead Qualification & Follow-Up

14:21 – Idea 8: Finance Ops Autopilot for Businesses

15:09 – Idea 9: Internal Productivity Lab for Your Org

15:53 – Idea 10: Done-for-You Research & Due Diligence Shop

16:41 – Non business use cases

18:27 – Karpathy's Agent Hub Announcement

19:50 – How to Get Started with Autoresearch

22:21 – Final Thoughts

Key Points

Autoresearch is an open-source AI agent that sets a goal, runs experiments in a loop on a GPU, keeps the winners, and discards the rest — all while you sleep.
You need an NVIDIA GPU to run it (tested on H100), but you can rent one cheaply through Lambda Labs, Vast AI, RunPod, Google Cloud, or Google Colab.
The fastest way to get started is to use Claude Code to walk you through installation, then run it on Google Colab with a T4 GPU runtime.
Ten business ideas built on Autoresearch span niches like SaaS optimization, A/B testing agencies, trading backtests, CRM lead scoring, and done-for-you due diligence.
Karpathy also launched Agent Hub — essentially a GitHub designed for agent swarms to collaborate on the same codebase.
The project already has 25,000+ GitHub stars and is growing fast; early movers who tinker now build an unfair advantage.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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