This New Way

• How a 4-Person Team Runs a 7-Figure Business with AI | Emil & Cassy Aite

  In this episode, Aydin chats with brothers Emil and Cassy—founders behind Hoppier (snack stipends for teams) and Postbeam (an AI-native LinkedIn content engine). They show how transcripts, voice interfaces, and AI browsers can 10× content output and product velocity for small teams. Demos include: turning transcripts into LinkedIn posts, Postbeam’s “Marv” voice interview, Vercel v0 mockups, and Perplexity’s Comet browser agent. The theme: tiny teams, mighty outcomes—when AI is baked into every workflow.Timeline & Timestamps01:08 – Hoppier origin: ~1,200 customers, profitable, still founder-run.03:57 – Why transcripts are gold for creating unlimited content.05:06 – Demo: pulling a podcast transcript into Claude → strong LinkedIn post hooks.08:55 – Volume matters: consistency wins; learning from creators like Pablo.11:15 – Remix vs. original insights: two formulas for content that works.14:38 – From process to product: Postbeam lands early paying customers.16:26 – Inside Postbeam: sources, remixing, images, and multi-team member voices.18:33 – Demo: Marv voice feature interviews you to capture authentic tone.24:21 – Building with AI: using Vercel v0 for rapid UI mockups and team feedback.29:16 – Aydin’s day job plug: Fellow.ai meeting assistant.31:36 – Replit vs. V0 vs. Lovable: pros, cons, and caution for prod-grade apps.35:58 – Comet browser demo: finding Toyota RAV4s on Marketplace with AI.42:42 – Tiny but mighty: Postbeam (2 founders + Gen Z cousin) and Hoppier (7-figure biz with 4 ppl).Tools & Technologies MentionedClaude (Anthropic) — Generates LinkedIn posts from transcripts.ElevenLabs / YouTube Transcript Tools — For pulling transcripts.Postbeam — AI LinkedIn content engine.Marv (inside Postbeam) — Voice interview AI to capture tone.Vercel v0 — Natural language → React UI mockups.Replit / Lovable / Cursor — AI coding platforms, with tradeoffs.Perplexity’s Comet Browser — Agentic browser for automated browsing.Whisper Flow — Voice-first workflow automation.Fellow.ai — AI meeting assistant.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

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• AI Teammates that Write Briefs, Draft Blogs & Keep Projects on Track with Marquis Murray

  Host Aydin Mirzaee welcomes Marquis Murray, productivity consultant and YouTuber, to share how AI agents are transforming day-to-day work. Marquis walks through live demos connecting Claude to Asana via MCP to auto-build projects from transcripts, generate executive-ready status PDFs, and create “AI teammates” in Asana that triage requests, draft briefs, write emails/blogs, and route approvals—keeping humans in the loop. Once you see it, you won’t go back to manual setup.Timestamps0:06 – Why manual project planning is over; AI compresses weeks into minutes.0:17 – Introducing Marquis Murray.0:43 – Starting the YouTube channel during lockdowns; documenting Asana learnings.2:06 – From corporate to consulting; helping teams adopt Asana, HubSpot, Zoom, Slack.4:05 – Making companies more productive with AI and integrations.4:53 – Today’s plan: Claude + Asana + agents.6:06 – Using Claude as a “central AI” via MCP.8:17 – Building a Customer Appreciation Event project in Asana directly from Claude.12:20 – Custom fields/sections: what connectors can and can’t create.13:06 – Finished example: phases, tasks, owners, dates.14:05 – Feeding transcripts and docs to generate realistic demo projects.19:05 – “If you’re not doing this yet, start today.”19:42 – Pulling Asana status into Claude and exporting a polished PDF.23:34 – Exec-friendly reports: progress bars, metrics, priorities.24:50 – Asana AI Studio: agents as virtual teammates.27:23 – Auto-correcting human errors: naming, missing info, duplicates.29:02 – Agents rename tasks, create briefs, draft assets.35:42 – Agents gatekeep incomplete requests; ask for specifics.37:13 – AI-generated campaign brief, email, and blog drafts.39:08 – Human-in-the-loop approvals before going live.43:01 – Triage demo: vague video request → structured follow-ups.45:25 – Auto-created subtasks to collect missing details.46:33 – “Easy mode” for building agents with natural language.47:03 – Marquis’s wish: a true AI chief of staff that restructures your day.48:56 – Where to find Marquis’s tutorials; wrap-up.Tools & Technologies MentionedAsana — Project management platform; AI Studio builds rule/LLM agents (“teammates”).Claude (Anthropic) — AI assistant used for brainstorming, MCP connections, summaries.Perplexity — AI search and research assistant.HubSpot / Salesforce / Jira — CRM/dev tools commonly integrated with Asana workflows.Zoom & Slack — Core collaboration stack surfaced during remote shift.MCP (Model Context Protocol) — Lets LLMs securely interact with external tools like Asana.Fellow.ai — AI meeting assistant for accurate summaries, action items, and insights.Google Drive, Gmail, Calendar, Canva — Connected apps Claude can use to orchestrate work.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

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• How a Chief Engineering Officer Automates Customer Prep, Scheduling & Reports with AI | Ali Pourshahid of Solace

  In this episode of This New Way, Aydin sits down with Ali Pourshahid, Chief Engineering Officer at Solace, to explore how he’s woven AI into his daily routines as a technology executive. Ali shares real demos of how he uses Solace’s Agent Mesh and other AI tools to:Generate security-focused slide decks from Confluence in minutesSchedule a 12-person leadership offsite without lifting a fingerTransform messy Word reports into polished heat maps for government updatesAutomate customer support workflows across Jira, CRM, and internal systemsAli also breaks down how Solace is productizing their internal AI system, why agent-to-agent communication (A2A) is critical, and how to build a culture of experimentation with “AI champions” inside your company.This is a masterclass in how executives can stop just “keeping up” with AI—and instead lead the charge.Timestamps0:58 – What is Solace and Ali’s role as Head of Engineering2:09 – Ali’s daily “AI deep hour” and why he treats it like a workout3:19 – Prepping for a customer security call with AI + Confluence5:14 – Auto-generated sequence diagrams and value slides in minutes9:48 – Using Microsoft Copilot to instantly format professional slides13:35 – AI as an executive assistant: scheduling a 12-person workshop17:01 – Turning unstructured Word reports into project heat maps20:07 – Building an AI champions group and lightning talks at Solace25:05 – Solace Agent Mesh: event-driven architecture for agents29:01 – Live demo: Automating Jira support tickets with agent workflows33:33 – Scaling digital employees with orchestrator agents37:08 – Why evals are critical for testing and deploying AI agents39:05 – Ali’s habit: always ask “How can I do this better with AI?”40:08 – What excites Ali most about AI in the next yearTools & Technologies Mentioned:Solace Agent Mesh – Multi-agent orchestration platform built by SolaceConfluence – Wiki where AI pulls technical details for slide prepClaude & ChatGPT – LLMs used for connecting to internal toolsMCP (Model Context Protocol) – Framework for securely connecting AI to enterprise dataMicrosoft Copilot – AI inside PowerPoint, Excel, and other Office toolsMermaid – Visualization tool for generating diagrams and heat mapsA2A Protocol (Agent-to-Agent) – Open standard for agent communication donated by GoogleSubscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

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• How Motive Uses 1,000+ AI Agents to Boost Productivity by 50% with Maddie Engelmeier

  In this episode of This New Way, Aydin sits down with Maddie Engelmeier, AI leader at Motive, to dive deep into how her team is transforming employee productivity with AI. Motive has set an ambitious company-wide goal: boost productivity by 50%. Maddie shares the three-tier strategy behind this initiative, showcases real AI agents in action—from self-assessment tools to executive account summaries—and explains how Motive fosters an AI-native culture across 100,000 customers and 1.3 million drivers.From using Glean to power performance reviews, to leveraging Notebook LM for instant enablement videos, Maddie gives a behind-the-scenes look at how AI is not just saving time but elevating effectiveness across the company.Timestamps0:00 – Setting the stage: Motive’s ambitious 50% productivity goal1:04 – Maddie introduces Motive and her role leading AI initiatives3:12 – The three-tier AI adoption framework (democratization, automation, transformation)6:51 – Why Motive adopted Glean and how it evolved from search to an agentic platform8:08 – Demo: Self-assessment agent for performance reviews13:06 – How Glean pulls from Slack, Drive, Gmail & more to save recall time15:19 – Probing reflection questions vs. copy-paste AI output19:02 – Over 1,000 unique runs: thousands of hours saved in one cycle19:27 – Stakeholder feedback agent explained21:21 – Shifting from recall to reflection and effectiveness23:50 – Demo: Executive account summary agent for customer insights27:55 – Scaling AI internally: AI labs, Genius Bars & Slack communities31:00 – Why AI is enhancing—not killing—creativity32:07 – Notebook LM demo: from docs to enablement videos in seconds35:27 – How weekly “snippets” create accountability and unblock teams36:00 – Agents growing faster than employees—future of work projections38:05 – Scaling adoption with big, relevant use cases39:09 – Maddie’s outlook: building comfort with experimentation and collaborationTools & Technologies MentionedGlean – AI-powered enterprise search and agentic workflow builder, securely connected to company data sources.Notebook LM – Google’s AI notebook that now generates enablement videos instantly from documents.Salesforce, Slack, Google Drive, Gmail, Confluence – Data sources integrated into Motive’s AI agents for recall and analysis.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

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• Scaling a Two-Person Agency to 200 Million Views Using AI with Ethan Hochberg

  Ethan Hochberg and his partner have built three AI-powered X personas that rack up 200 million views annually—all while running a lean creative agency for AI and tech brands. These aren’t just vanity accounts; they’re distribution engines that feed into their core business.In this episode, Ethan walks us through:- How they blend AI content generation with a human touch to keep posts authentic and engaging.- The Grok Deep Search workflow they use to find and validate influencers in minutes (a task that used to take days).- A multi-step outreach strategy that personalizes every message for higher response rates.- How to brainstorm and produce short-form video content with V GPT for TikTok, Reels, and Shorts—without a production studio.- This is a masterclass in using AI tools not just to save time, but to elevate the quality of your marketing while running a “tiny team.”Timestamps02:45 – From AI Marketing Directory to running a creative agency04:48 – Tiny teams, big results with AI workflows06:25 – Demo 1: Grok Deep Search for influencer discovery08:15 – Why influencer marketing is more relevant than ever12:29 – Grok’s validation process: avoiding fake engagement15:25 – Applying the workflow beyond influencers (newsletters, blogs, PR)17:51 – Using AI to think strategically, not just automate22:09 – The output: influencer tables in minutes24:01 – Demo 2: Personalized outreach angle generator28:01 – Applying this to PR and content partnerships32:00 – Demo 3: V GPT for short-form AI video creation37:40 – How much of your feed is already AI-generated?40:00 – Matching viral templates to your niche for higher watch time41:50 – Using AI video tools mainly for brainstorming content ideas42:56 – How to connect with EthanTools & Technologies MentionedGrok – AI chatbot from X with live access to the Twitter feed; ideal for influencer discovery and current-event research.Grok Deep Search – Paid Grok feature ($8/mo with X Premium) that crawls hundreds of live sources for validated results.ChatGPT + GPT Store – OpenAI’s platform for custom GPTs, used here to integrate with video creation tools.V GPT – AI video generator with realistic avatars, captions, and voiceover.CapCut (mentioned) – Popular editing tool; V GPT is positioned as a more advanced alternative for avatar-driven content.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.Ethan's website: https://marketingguys.co/

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