Episodios

  • His AI Voice Agent Answers 10,000+ Phone Calls for Restaurants Every Day

    His AI Voice Agent Answers 10,000+ Phone Calls for Restaurants Every Day
    Aug 14 2025

    AI “agents” have been hyped to death—but very few are truly delivering real-world impact. In this episode, we cut through the vaporware with Christian Wiens, co-founder of Loman, an AI voice agent platform transforming how restaurants handle customer calls, orders, and reservations. Christian shares how Loman went from a two-person idea to serving hundreds of restaurants and hitting $1.5M ARR in record time. We dive into why voice is the most natural, context-rich way for humans to communicate—and how AI agents that do real work (not just answer questions) will change how we interact with businesses forever. You’ll hear how Loman’s restaurant agents integrate directly with POS systems to take orders end-to-end, the surprising reasons Gen Z prefers talking to AI over humans, and why the future of a brand’s “front door” may be an AI personality instead of a website. Christian also breaks down Loman’s explosive growth playbook—from ditching cold email for native social ads, to filming on-location customer stories that convert like crazy. We cover the realities of AI-generated ads, programmatic SEO, and why outcome-driven automation is the only AI worth paying for.

    What You’ll Learn in This Episode

    • What really defines an AI agent—and why most products don’t qualify
    • How voice-based AI can capture richer customer context than any app or form
    • The operational pain restaurants face with missed calls and how AI solves it
    • Why customers don’t care if it’s AI or human—only that it gets the job done
    • Gen Z’s surprising comfort with AI calls (and discomfort with human ones)
    • The two make-or-break factors every AI agent needs to succeed
    • How to create “native feel” ad creatives that crush on social
    • Why hyper-specific vertical integration beats horizontal AI every time
    • The massive untapped potential for outbound AI voice (and the legal gray areas)
    • Christian’s vision for a future where AI agents replace websites as the primary customer touchpoint

    Chapters

    00:00 – Intro & The AI Agent Hype vs. Reality
    04:18 – What an AI Agent Really Is
    09:02 – Why Voice Is the Ultimate Interface
    13:47 – The Restaurant Industry’s Missed Call Problem
    18:25 – Gen Z’s Comfort with AI Calls
    22:58 – Vertical vs. Horizontal AI Strategies
    27:41 – Loman’s Explosive Growth Playbook
    32:16 – Ads That Feel Native & Convert
    37:08 – Outbound AI Voice & Legal Considerations
    42:55 – The Future: AI Agents as the New Websites
    47:20 – Closing Thoughts & How to Connect with Christian

    Connect with Christian Wiens:

    • LinkedIn – https://www.linkedin.com/in/christianwiens/
    • Website – https://www.loman.ai/
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    48 m
  • He Got 100,000,000 impressions on LinkedIn for free and shares exact framework

    He Got 100,000,000 impressions on LinkedIn for free and shares exact framework
    Aug 7 2025
    If your LinkedIn feed looks like a museum of giant n8n screenshots and “comment to get the guide” posts…good. That means the playbook works—when you do it right. Paolo breaks down the exact framework his agency uses to turn LinkedIn into a repeatable inbound lead engine for B2B—especially SaaS, agencies, and info businesses.What You’ll LearnLead magnet mechanics that still crush: how to pick the right asset (templates vs. guides), formats that perform (Notion docs, Miro boards, short scroll videos), and the “perceived value + curiosity + scarcity” combo.Hooks that make people click “See more”: trigger desire, fear, or curiosity in the first 3 lines.Pattern interrupts that boost reach: why oversized workflows, zoom-ins, and 10-second sped-up videos spike hover time and help the algo.Profile-as-landing-page: how to structure your headline, Featured section, and CTAs to funnel traffic without tanking post reach.Nurture after the comment: DM prompts that qualify intent, when to drop case studies, and how to avoid low-intent “free audit” traps.Where this shines: B2B SaaS, agencies, consultants/coaches—audiences that are active on LinkedIn and buy from content.Paolo’s Playbook (Step-by-Step)Pick the problem (one ICP pain your offer solves).Choose the asset format based on buyer type:Done-for-you buyers → plug-and-play templates.Education/info buyers → guides/videos.Design the preview media to signal value and create curiosity:Notion table of contents screenshot, massive Miro flow, or a 10-sec scroll video.Write the post like this:3-line hook (desire/fear/curiosity).Promise + what’s inside.CTA to comment (optionally “repost for priority”).Light scarcity (e.g., 48-hour window).Delivery & DMs:Send the asset, ask an easy reply (“Are you posting on LinkedIn yet?”).Qualify with 1–2 follow-ups, then make a clear offer with outcomes + timeline (+ guarantee if you have one).Nurture cadence (next 2–3 days):Day 1: Case study (story format: before → intervention → after; CTA to book).Day 2: Technical value post (lower engagement is fine; it nurtures).Add strongest case studies to Featured on your profile.Links without nuking reach:Push to profile/Featured or drop links in comments; edit the post later to add the link after it’s cooked.Tactical NuggetsComments > Likes (weightier signal + more hover time).Avoid bot pods; if you coordinate engagement, keep it real accounts and relationships.For SaaS without a free trial, push to a free setup/usage guide that inherently requires the product.Use storytelling in case studies; people remember transformations, not dashboards.If you’re running volume lead magnets, expect lower engagement on deep-dive posts—that’s normal and still effective.Tools & Formats MentionedNotion (TOC screenshot as lead magnet preview)Miro (big workflow screenshots)n8n (automation diagrams that stop the scroll)Short scroll videos (10–15s, autoplay pattern interrupt)AI voice agent (optional MOFU experiment to educate and qualify at scale before handing off to a human)Who This Works Best ForB2B SaaS (often top performer)AgenciesConsultants/CoachesAny ICP that’s active on LinkedIn and buys based on content/authoritySponsorTalent Fiber — Hire world-class global talent (engineers with 7+ years’ experience, U.S. time zones, excellent English) at ~⅓ U.S. cost. They’re an outsourced HR partner, handling compliance, payroll, and employee happiness—with a free replacement if it doesn’t work out. Learn more: talentfiber.comConnect with PaoloLinkedIn: https://www.linkedin.com/in/leadgenwiz/
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    42 m
  • Make AI Search Recommend You: Build Branded Mentions, Not Links

    Make AI Search Recommend You: Build Branded Mentions, Not Links
    Jul 31 2025
    AI-driven search (AISEO) is opening a new lane for brands in competitive categories. Joe Davies from FATJOE explains why branded mentions (not just links) are increasingly what LLMs use to decide recommendations—and how teams can systematically earn those mentions. We cover tactics like guest blogging at scale, context-seeding your USP across reviews/listicles, building deep product docs to feed LLMs, and using tier-two links to get your “influencer pages” ranking. Early data shows 2–3× higher conversion rates from AI-referred traffic because buyers arrive pre-educated and ready to act.What You’ll LearnWhy AISEO rewards brand mentions and clear USPs more than classic link metrics.How AI-referred traffic converts 2–3× higher than traditional search.A repeatable process to seed your brand in listicles, reviews, and comparisons.How to “context-seed” your USP so LLMs recommend you for the right reason.Why deep help docs / knowledge bases make LLMs more confident recommending you.How to choose targets (DR + real traffic), then lift them with tier-two links.The state of AISEO observability (what to track, what’s still immature).Tactical Playbook (Step-by-Step)Define your USP: the specific “best for ___” angle you want LLMs to repeat.Keyword map long-tail, bottom-funnel queries (e.g., “best X for Y,” “X vs Y,” “X alternatives,” “[product] review”).Prospect targets with credible traffic (DR is fine as a filter, but prioritize verified organic traffic).Commission content: secure guest posts/listicles and full reviews on those sites. Mix formats to look natural.Context-seed your USP in every placement (e.g., “Best for small teams,” “Most features,” “Best value”).Include competitors in listicles/reviews so the page is useful (LLMs prefer balanced sources).Boost with tier-two links (niche edits, syndication) to help these pages rank on pages 1–3.Expand surface area: Reddit answers, YouTube/tutorial mentions, and social chatter to reinforce brand salience.On-site foundation: build exhaustive docs—features, integrations, FAQs, facts sections—so LLMs can learn you deeply.Measure pragmatically: track referral traffic from AI surfaces and downstream conversions; current “AI visibility” tools are early.Resources & MentionsChatGPT Path (shows the searches/sources ChatGPT runs under the hood): https://chromewebstore.google.com/detail/chatgpt-path/kiopibcjdnlpamdcdcnphaajccobkbanFATJOE — Brand Mentions Service: http://fatjoe.com/brand-mentionsFATJOE: https://fatjoe.com/Key TakeawaysAISEO is early but growing fast and already drives higher-intent traffic.Focus on being mentioned credibly across the open web; LLMs synthesize those signals.Listicles + reviews on high-trust, real-traffic sites are the current highest-leverage assets.Your docs are marketing now—LLMs read them and recommend accordingly.Don’t abandon SEO; it remains the foundation that AI systems lean on.Chapters00:00 Cold open: AISEO’s opportunity & why mentions matter03:45 Data: AI referrals converting 2–3× vs. classic SEO07:50 Who should prioritize AISEO (and who can wait)10:30 Tactics: listicles, reviews, and “context-seeding” your USP15:45 Tools & workflows; extension that reveals ChatGPT’s queries19:45 Content ops: human vs. AI writing, plans, and clustering22:30 Build deep product docs to feed LLM understanding26:10 Ranking the influencer pages + tier-two links33:00 Observability today: what’s useful, what isn’t yet36:50 The next 5–10 years: AI + SEO, not AI vs. SEOGuestJoe DaviesX: https://x.com/fatjoedaviesLinkedIn: https://es.linkedin.com/in/joe-davies-seoWebsite: https://fatjoe.com/
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    40 m
  • ai seo crash course: pick one keyword and build brand mentions

    ai seo crash course: pick one keyword and build brand mentions
    Jul 28 2025

    This AI SEO deep‑dive gets tactical. I sit down with Ilias Ismanalijev (aka @illyism) to map the real discovery journey happening inside AI search—what users actually prompt from problem‑aware to buyer‑ready—and how to influence results across models (GPT, O3, Claude, Perplexity). You’ll learn how to surface the right phrases (not just keywords), make your pages AI‑readable, and win off‑page placements on the listicles and directories LLMs love to cite.

    What you’ll learn

    • The 4 levels of AI search (no‑search → deep research) and how strategy changes at each.
    • Prompt‑level intent mapping: info, comparison, executive/delegation, problem‑solving.
    • How to spot AI‑generated queries in Google Search Console and build your tracking sheet.
    • On‑page for LLMs: crawlability, structured content/markdown, alt text, and avoiding blockers (robots.txt, Next.js assets).
    • Off‑page that moves rankings: listicle outreach, affiliate offers, directories (G2, Product Hunt), and Reddit/“parasite” opportunities.
    • Why AI traffic is often more buyer‑ready—and how to target bottom‑of‑funnel prompts (e.g., “X vs Y,” “best X for Y,” pricing specifics).

    Chapters
    0:00 Cold Open — What You’ll Learn
    1:22 Sponsor: TalentFiber
    2:25 Meet Ilias & Why AI SEO Now
    3:02 Who Benefits Beyond SaaS?
    4:58 Research vs. E‑com Use Cases
    6:20 Comparison‑Style Prompts IRL
    8:59 Brands Doing It Well (Examples)
    10:46 Why AI Traffic Is Buyer‑Ready
    13:42 Benchmarking AI Search Visibility
    16:38 Frameworks for AI Keyword Research
    20:58 On‑Page for LLMs (Crawlability)
    23:30 Finding AI Queries in Search Console
    27:30 Regex + Long‑Query Filters
    28:25 The 4 Levels of AI Search
    32:17 Bottom‑of‑Funnel Prompts That Convert
    34:06 Off‑Page: Listicles, Affiliates, Outreach
    37:00 Reddit/Parasite SEO & Page One Sources
    38:59 Mapping Sources w/ LinkDR
    41:02 Pricing Pages & AI Page Inspector
    44:34 Directories, Reviews & Digital PR
    47:41 Should You Create AI‑Optimized Resource Pages?
    48:38 Wrap‑Up & Where to Find Ilias

    Guest
    Ilias Ismanalijev
    X: https://x.com/illyism
    LinkedIn: https://www.linkedin.com/in/illyism
    Site: https://il.ly/

    Host
    Cody Schneider
    X: https://twitter.com/codyschneiderxx
    LinkedIn: https://www.linkedin.com/in/codyxschneider
    Instagram: https://www.instagram.com/codyschneiderx
    YouTube: https://www.youtube.com/@codyschneiderx

    Sponsor
    This episode is brought to you by TalentFiber — hiring top offshore software engineers as an extension of your team (technical interviews, compliance, replacements, fast turnarounds). Learn more at talentfiber.com
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    49 m
  • Vibe Coding Workflow: Ship Faster with This Product Requirement Document Workflow

    Vibe Coding Workflow: Ship Faster with This Product Requirement Document Workflow
    Jul 22 2025

    Unlock the practical side of vibe coding and AI‑powered marketing automations with host Cody Schneider and guest CJ Zafir (CodeGuide.dev). If you’ve been flooded with posts about no‑code app builders but still wonder how people actually ship working products (and use them to drive revenue), this conversation is your blueprint.

    CJ breaks down:

    • What “vibe coding” really means – from sophisticated AI‑assisted development in Cursor or Windsurf to chilled browser‑based tools like Replit, Bolt, V0, and Lovable.
    • How to think like an AI‑native builder – using ChatGPT voice, Grok, and Perplexity to research, brainstorm, and up‑level your technical vocabulary.
    • Writing a rock‑solid PRD that keeps LLMs from hallucinating and speeds up delivery.
    • The best tool stack for different stages – quick MVPs, polished UIs, full‑stack production apps, and self‑hosted automations with N8N.
    • Real‑world marketing automations – auto‑generating viral social content, indexing SEO pages, and replacing repetitive “social‑media‑manager” tasks.
    • Idea‑validation playbook – from domain search to Google Trends, plus why you should build the “obvious” products competitors already prove people pay for.

    You’ll leave with concrete tactics for:

    1. Scoping and documenting an app idea in minutes.
    2. Choosing the right AI coding tool for your skill level.
    3. Automating content‑creation and distribution loops.
    4. Turning small internal scripts into sellable SaaS.

    Timestamps

    (00:00) - Why vibe coding & AI‑marketing are everywhere
    (00:32) - Meet CJ Zafir & the origin of CodeGuide.dev
    (01:15) - Classic mistakes non‑technical builders make
    (01:27) - Sponsor break – Talent Fiber
    (03:00) - “Sophisticated” vs “chilled” vibe coding explained
    (04:00) - 2024: English becomes the biggest coding language
    (06:10) - Becoming AI‑native with ChatGPT voice, Grok & Perplexity
    (10:30) - How CodeGuide.dev was born from a 37‑prompt automation
    (14:00) - Tight PRDs: the antidote to LLM hallucinations
    (18:00) - Tool ratings: Cursor, Windsurf, Replit, Bolt, V0 & Lovable
    (23:30) - Real‑world marketing automations & agent workflows
    (25:50) - Why the “social‑media manager” role may disappear
    (28:00) - N8N, JSON & self‑hosting options (Render, Cloudflare, etc.)
    (35:50) - Idea‑validation playbook: domains, trends & data‑backed bets
    (42:20) - Final advice: build for today’s pain, not tomorrow’s hype

    Sponsor

    This episode is brought to you by Talent Fiber – your outsourced HR partner for sourcing and retaining top offshore developers. Skip the endless interviews and hire pre‑vetted engineers with benefits, progress tracking, and culture support baked in. Visit TalentFiber.com to scale your dev team today.

    Connect with Our Guest

    • X (Twitter): https://x.com/cjzafir
    • CodeGuide.dev: https://www.codeguide.dev/

    Connect with Your Host

    • X (Twitter): https://twitter.com/codyschneiderxx
    • LinkedIn: https://www.linkedin.com/in/codyxschneider
    • Instagram: https://www.instagram.com/codyschneiderx
    • YouTube: https://www.youtube.com/@codyschneiderx
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    47 m
  • He Built a 1,000,000+ User Startup with ONLY 3 People and AI

    He Built a 1,000,000+ User Startup with ONLY 3 People and AI
    Jul 15 2025

    Join me as I chat with Yoann Pavy, the growth mastermind behind AI Apply and ex-Deliveroo & Depop head of growth.

    Timeline
    00:00 – AI tooling’s golden age (and why it’s overwhelming)
    00:31 – Introducing Yo, the “most gangster” consumer marketer I know
    00:45 – What you’ll learn: short‑form content, paid ads, automations
    01:23 – Sponsor: Talent Fiber makes offshore hiring effortless
    02:12 – Yo’s creative AI spotlight: VO3 videos & gorilla vlogs
    04:46 – Humans vs. AI avatars in paid videos (spoiler: humans still shine)
    07:20 – Building your creator pyramid with Sideshift & Shortimize
    10:00 – Automating code changes via “Jarvis” in Slack
    14:38 – Scaling organic content: thousands of posts, not dozens
    18:00 – Product‑channel fit: build the media first, product second
    20:30 – Automating international growth: 20+ languages in weeks
    24:00 – Filtering AI noise: focus on what’s already working
    27:15 – The biggest gap: corporate brands vs. startup agility

    Key Points
    • AI creatives are exploding—VO3 videos hit millions of likes fast.
    • Human spontaneity still outperforms AI‑only videos—for now.
    • Slack‑based AI agents (“Jarvis”) deploy code, update copy, spin up PRs.
    • Automate localization: add new languages weekly without human translators.
    • Scale organic distribution by multiplying creators and formats.
    • Product‑first mindset flips: media channel drives features.
    • Startups win by sprinting on AI while corporates stall in red tape.

    Deep‑Dive Sections

    1. Creative AI in Paid Ads
      Verdict: 🔥 Underrated
      • VO3‑generated TikTok vlogs racked up 4M likes in days
      • AI statics (before‑after sliders) crank out ad assets at scale
      • Humans still lead on nuance—mix both and test relentlessly
    2. Automations & Internal AI Agent
      Verdict: 🚀 Game‑changer
      • “Jarvis” in Slack handles code tweaks, pull requests, image swaps
      • One‑line commands push new footer tabs and copy revisions
      • Frees marketers to iterate strategy, not deployments
    3. Scaling Organic Content
      Verdict: 💡 Must‑do
      • Move from 10 posts/month to 1,000+ by cloning formats across creators
      • Use Shortimize to track views cooking days after publish
      • Volume on TikTok & LinkedIn is the new SEO—play the numbers game
    4. Product‑Channel Fit Mindset
      Verdict: 🔄 Reversed logic
      • Prototype media hooks (e.g. resume‑kit demos) before building features
      • Validate with viral tests—first video hit 700K views in 24h
      • Bake winning social formats into product roadmap
    5. Future of AI‑Powered Growth
      Verdict: ⏳ On the horizon
      • Multi‑agent customer personas could replace focus groups
      • Meta’s AI for one‑to‑one ad creatives will upend engagement
      • Corporates risk being left behind as startups sprint

    Notable Quotes
    “It’s never existed like it has now. But it’s extremely overwhelming.”
    —HOST

    “I call it Jarvis because it’s sexy—I just ask Slack to add a tab and it’s done.”
    —Yoann Pavy

    “Once you have two or three of these formats, you can go viral any given day.”
    —Yoann Pavy


    Sponsor Block
    This episode is brought to you by Talent Fiber. Hire offshore full‑stack devs with 7+ years’ experience, US‑time‑zone availability, perfect English, and a solid replacement guarantee. Learn more at talentfiber.com or click the link below.

    FIND ME ON SOCIAL
    LinkedIn: linkedin.com/in/codyxschneider
    X: x.com/codyschneiderxx

    FIND Yoann PAVY ON SOCIAL
    LinkedIn: linkedin.com/in/yoannpavy
    X: x.com/yoannpavy
    Website: aiapply.co
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    53 m
  • 50 ai agents are running this guy's business. no employees?

    50 ai agents are running this guy's business. no employees?
    Jul 10 2025
    In this episode, Adam Silverman — co-founder & CEO of Agent Ops — dives deep into what “AI agents” actually are, why observability matters, and the very real marketing & growth automations companies are shipping today. From social-listening bots that draft Reddit replies to multi-agent pipelines that rebalance seven-figure ad budgets in real time, Adam lays out a practical playbook for founders, heads of growth, and non-technical operators who want to move from hype to hands-on results.Guest socials• LinkedIn: https://www.linkedin.com/in/adamsil• 𝕏 / Twitter: https://x.com/AtomSilverman• Company: https://agentops.aiTimestamps00:00 — Defining “agents”: reasoning-powered automations, not AGI00:54 — Introducing Adam & the 50+ internal agents his team uses daily03:32 — “Vibe marketing” and why every employee will soon have an AI assistant05:18 — Live example: an inbound-lead-scoring agent that books calls automatically08:11 — Metric shift: revenue / agent & revenue / token10:45 — Three-point filter for agent ROI: expensive, repeatable, low-risk tasks12:56 — Social-listening agents for Reddit, X & forums (human-in-the-loop posting)16:14 — OrcaBase + TripleWhale: agentic ad-spend rebalancing for e-com21:29 — WhisperFlow → Claude to generate entire email sequences in minutes25:04 — Multi-agent systems & OpenAI Agents SDK (Crew AI, Llama-Index, etc.)40:12 — Tech stack cheat-sheet: AgentQL, BrowserBase, Composio, Anthropic Claude 3, Gemini 1.5 Pro48:07 — Internal hackathons & “minimum viable post” culture for continuous learningKey Points• Observability is table-stakes. Enterprises won’t deploy agents without 99.99 % reliability, so logging, evals & debugging are critical.• Marketing automations that already work:– Social-listening + auto-response (Reddit, X “Radar”)– Lead-scoring & routing directly inside Superhuman– Real-time ad-budget re-allocation with TripleWhale’s OrcaBase agents– UGC ad generation at ¢-scale via HeyGen API• Tooling matters: mix-and-match lower-cost LLMs (Gemini/Claude) for chain-of-thought tasks and premium models (GPT-4o) for reasoning or code.• Multi-agent ≠ many prompts. Think specialized “teammates” passing JSON, each with its own LLM, tools & memory.• Hire for AI-nativity, not job titles. A VA fluent in Cursor or WhisperFlow can 10× output overnight.• Run micro-hackathons. One day a month of structured tinkering keeps teams ahead of vendor fluff.Six Practical Plays You Can StealExpensive + Repeatable + Low-Risk AuditMap every workflow; circle anything that costs $$$, repeats weekly, and won’t tank the business if it fails. Start there.Social-Listening AgentRadar (X) or manual Boolean search → Agent drafts replies → human approval → schedule via Buffer/Zapier.Ad-Spend RebalancerPipe TripleWhale or GA4 ROAS data into an agent that shifts budget between Meta, Google & TikTok every 60 min.Outbound “Industry Brief” Generatoryou.com’s Ari agent → 5-page PDF tailored to the prospect’s vertical → attach in first-touch email.Auto-Follow-Up ComposerFathom meeting transcript + Superhuman “Ask AI” → ready-to-send recap with action items.Internal Hackathon Framework• 15 min YouTube tutorial• 45 min build using Gumloop / Lutra AI (no-code)• Demo & share Loom — highest-impact sprint gets pushed to prod.Notable Quotes“We’ve got more agent headcount than human headcount.” — Adam Silverman“Stop talking AGI. Look for tasks that are expensive, repeatable, and low-risk — that’s where agents print money.”“Your revenue per employee metric just became revenue per token.”“Build once, sell twice: every podcast, video or doc should spawn emails, tweets and a downloadable PDF.”2025 Takeaway: The winners won’t be the teams with the biggest models; they’ll be the teams that turn everyday processes into measurable, observable agent workflows — and iterate on them faster than their competitors can finish a slide deck.
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    53 m
  • the 100x marketer: combining vibe marketing, ai automation and custom tools to build a $6M ARR company

    the 100x marketer: combining vibe marketing, ai automation and custom tools to build a $6M ARR company
    Jul 1 2025

    In this episode, Sandra Dajic, Head of Marketing at Chatbase, dives deep into the world of "vibe marketing"—a movement at the intersection of growth, automation, and AI tooling. She shares how she’s building AI-powered workflows to supercharge her marketing efforts, from automated ad competitor dashboards to visual content generation using GPT-4. With a background in both VC-backed and bootstrapped startups, Sandra outlines practical strategies for creating a marketing engine that feels like a team of 100—run by just one person.

    Timestamps:
    00:00 - Introduction: The 100x marketer and automation trend
    01:40 - Sandra's AI-powered marketing workflows
    04:45 - Automating ad analysis with Lovable, Make.com, and GPT
    09:12 - Why “vibe marketing” matters now
    13:20 - How to scale marketing without engineering resources
    16:45 - Building "AI Ninja": Sandra's personalized marketing agent
    21:05 - Using AI to streamline press, partnerships, and outreach
    27:50 - How Sandra accelerated visual design workflows using GPT-4
    31:00 - The power of personal brand and founder-driven marketing
    34:15 - Sandra’s experiments with LinkedIn growth strategies
    39:22 - Automating content and measuring marketing effectiveness

    Key Points:

    • Vibe marketing = combining growth strategy with AI automation
    • Sandra built a custom dashboard to track and analyze ad creatives across platforms
    • Tools used: Lovable for browser agents, Make.com for workflows, GPT-4 for automation
    • AI agents streamline repetitive marketing tasks: outreach, content, visuals, competitor tracking
    • Emphasis on storytelling, personal brand, and focusing on one validated channel at a time
    • Sandra shares tactical tips for LinkedIn growth and content structuring
    • AI enables solo marketers to match output of large teams, affordably and fast

    Notable Quotes:

    “I want to automate everything that I don't love doing. My job is to tell the story of the product.” – Sandra Dajic
    “If you define your workflow, AI can scope the rest. That’s the vibe marketing unlock.” – Host
    “Personal brand is your biggest asset as a founder—it’s the one thing that sticks.” – Sandra Dajic

    Guest Links:
    • X: @takotreba
    • LinkedIn: Sandra Dajic
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    44 m