This New Way

• Support 2.0: Reimagining Customer Support & Networking via AI Agents with Irosha de Silva

  Subscribe at www.thisnewway.com to get the step-by-step playbooks, tools, and workflows.In this episode, Aydin chats with Irosha de Silva, the founder of Marketrics, about how AI is transforming customer support from passive documentation to real-time, visual, and agentic assistance. They discuss how they met through an AI networking tool called Bordy, how Irosha transitioned from running a software agency to launching an AI-powered startup, and how tools like Grok and GitHub Copilot are changing the game for fast-moving teams. Irosha also demos how Marketrics works—revealing a future where SaaS tools can support users visually and contextually, without human intervention.TIMESTAMPS0:40 – How Aydin and Irosha met through Bordy, an AI networking agent2:50 – Irosha’s tech background and software agency journey4:55 – Going “all in” on building a product in AI6:15 – The frustrating customer support moment that sparked Marketrics8:20 – How Marketrics uses agentic AI to improve customer support10:00 – The impact of AI on company-building today11:45 – How startups can now reimagine any function with AI12:45 – Tools Marketrics uses: GitHub Copilot, Grok, ChatGPT14:00 – How AI is helping founders actually get things done (like LinkedIn posts!)16:00 – Irosha’s process for turning notes into a high-performing post using Grok21:10 – Live demo: How Marketrics works with Canva as an example27:00 – Reimagining support: From reading docs to real-time visual guidance30:00 – Why user patience is dropping in the AI era31:00 – What excites Irosha most about the next 12 months of AI32:50 – How to connect with IroshaTools & Resources MentionedBordy – AI networking agent that introduces professionals via emailMarketrics – Irosha’s AI-powered customer support platform (marketrics.ai)Grok – AI tool (by xAI) Irosha uses to generate real-time LinkedIn postsGitHub Copilot – AI code assistant used by Markettrics’ dev teamChatGPT – Used alongside Grok for content creation and supportCursor – Another AI coding tool briefly mentioned by AydinNvidia GTC Conference – Where Irosha gathered content for his LinkedIn post

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• AI Creates Hundreds of Ads in Minutes with Fredrik Thomassen and Phillip Maggs From Superside

  Subscribe at www.thisnewway.com to get the step-by-step playbooks, tools, and workflows.In episode 6 of This New Way, Fredrik Thomassen and Phillip Maggs walk us through how Superside—a global creative services company—has fundamentally transformed its workflows using generative AI. From automating asset production to embedding AI directly into tools like Figma, Superside is pushing the boundaries of what's possible in creative automation. We also get a live demo of their “brief-to-draft” workflow and discuss how AI is reshaping the talent landscape.TIMESTAMPS: 0:52 – What Superside does and its global scale2:10 – Phil’s role and what “Director of Generative AI Excellence” means4:08 – The turning point: DALL·E and Superside’s AI transformation8:00 – How they approached AI experimentation via “shadow projects”10:54 – Testing AI-created assets alongside human work13:20 – How talent profiles are changing with AI19:00 – Where AI is most disruptive: video production22:00 – Live demo: from brief to hundreds of personalized assets32:00 – In-tool editing and automation directly in Figma36:00 – Image-to-video transformation with Runway41:00 – What’s next for Superside and the creative industry46:30 – Final thoughts: what Fredrik and Phil are most excited aboutTOOLS AND TECHNOLOGIES MENTIONED:DALL·E – AI image generationMidJourney – Creative image ideationStable Diffusion – Open-source image genChatGPT / GPT-3.5+ – Prompt writing and copy supportFigma – Design collaboration with custom AI pluginsRunway ML – AI video generationZapier – Workflow automationSuperspace – Superside’s internal platformFoul – Model inference layerNode-based AI orchestration – For prompt chaining and bulk generation

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• AI Saves $40K/Year on Employee Engagement Software with Liam Martin, Co-Founder of Time Doctor

  Subscribe at thisnewway.com to get the step-by-step playbooks, tools, and workflows.In episode 5 of This New Way, Aydin sits down with Liam Martin, co-founder of Time Doctor and Running Remote, to explore how AI is reshaping team productivity, SaaS economics, and the future of work. Liam shares how his team replaced $40K/year worth of employee engagement software with open-source AI tools — and how their internal R&D lab, Chainsaw, is building the future of workforce analytics.You’ll hear how Time Doctor uses AI to reclassify productivity metrics by job role, how AI has changed their approach to product-market fit, and why they’re betting on proprietary agents as the next evolution of workplace tools. Liam also shares his personal tech stack, insights on open-source AI models like DeepSeek, and how he's replacing Google with LLMs in his day-to-day workflow.You’ll walk away with practical ideas for how to reduce SaaS spend, empower your R&D teams, and get ahead of AI's disruptive force in remote work and beyond.Click here to check out the AI-generated timestamps, episode summary and transcript.. . .Like this episode? Be sure to leave a ⭐️⭐️⭐️⭐️⭐️ review and share the episode with someone who will benefit from listening.. . .TIMESTAMPS 00:36 Liam’s McGill story and how he accidentally left academia 02:45 The early days of remote work and building Time Doctor 05:57 What Time Doctor actually does (and how AI is changing it) 08:08 How AI reclassified productivity by job type 11:03 Could product-market fit collapse due to AI? 13:44 Building the Chainsaw team 20:02 Replacing Google with LLMs 24:35 Why proprietary AIs might need to be “pushy,” not polite 28:03 Don’t wait for economics — just solve the problem 29:45 What’s coming next in the AI cost curve35:58 GPT customizes slide decks based on personality types39:07 Build complex no-code apps with just a prompt using Lovable43:46 Engineers may be more disrupted by AI than customer serviceTOOLS & RESOURCES MENTIONEDAI Tools & ModelsDeepSeek OCR → replaced paid OCR tools, cutting costs by 90%Do Browser (Chrome extension) → automates browser actions like a humanLM Studio → runs open-source LLMs like DeepSeek and Claude locallyClaude (Anthropic) → used for AI-based task delegationOpenAI GPT-4 / Operators → tested against open-source alternativesInternal Innovation & AI SystemsChainsaw R&D Team → focused on building from scratch, not optimizingWorkforce Analytics with AI → redefining productivity dynamically by roleAI-driven feature decisions → testing new models before looking at ROIOCR Video Analysis → used to assess best vs worst execution of tasksPhilosophies & Frameworks“Build a chainsaw, not a sharper axe” → rethink, don’t just improve“Solve one customer’s problem perfectly” → from Y Combinator playbookPersonal AI-first workflows → replacing search with LLMs

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• How the CEO of a Billion Dollar Company Uses AI with Andrew Waitman of Assent

  Subscribe at ⁠www.thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.In episode 4 of This New Way, Aydin sits down with Andrew Waitman, CEO of Assent, to explore how a billion-dollar B2B SaaS company is transforming operations, product development, and team productivity with AI. Andrew shares how Assent went from under $1M to nearly $200M ARR, became one of the earliest adopters of GitHub Copilot and ChatGPT Enterprise, and how they now embed AI-driven OKRs across every team.You’ll hear real use cases: from summarizing messy trip reports, generating synthetic bills of materials for secure testing, and accelerating supplier document reviews — to measuring impact on productivity and profitability. Andrew also offers actionable insights on how to drive AI adoption across teams, how CEOs should personally lead the AI charge, and which tools he uses daily to stay ahead.You’ll walk away knowing how to start small, scale fast, and turn AI into a measurable force multiplier across your org.⁠⁠Click here⁠⁠ to check out the AI-generated timestamps, episode summary and transcript.. . .Like this episode? Be sure to leave a ⭐️⭐️⭐️⭐️⭐️ review and share the episode with someone who will benefit from listening.. . .TIMESTAMPS:00:35 Andrew’s background and Assent’s growth journey02:37 The scale: 18,000 suppliers, 200 compliance topics05:07 The post-ChatGPT transformation and Vista Equity OKRs06:09 Early adoption of GitHub Copilot & ChatGPT Enterprise08:51 Trip report improvements using AI synthesis09:35 Generating synthetic bills of materials for safe testing12:26 Where AI drives efficiency: entity resolution, part matching, document validation13:12 Measuring AI’s impact: productivity, quality, and profitability17:32 Expanding customer success capacity without adding headcount20:37 How to drive company-wide AI adoption (hackathons, Slack, evangelists)24:10 Andrew’s personal AI workflows & deep research routinesTOOLS & RESOURCES MENTIONED:AI Tools & PlatformsGitHub Copilot (Microsoft) → adopted early for engineeringChatGPT (OpenAI, including Enterprise license) → used across teams for synthesis, rewriting, summarizationPerplexity AI (Pro) → used for deep research reportsInternal AI Use Cases & SystemsSynthetic bills of materials → generated using AI to safely test software without exposing sensitive customer dataAutomated document review → handling millions of supplier documents for complianceEntity resolution → using AI to match the right supplier or part across massive datasetsPart resolution & document validation → automating complex checks in the supply chainCompany-Wide AI Adoption Tools & MethodsOKRs (Objectives & Key Results) → embedded AI goals at company, team, and functional levelsAI hackathons → internal competitions to inspire creative use casesSlack channels → for sharing, evangelizing, and discussing AI applications internallyPersonal CEO Tools & WorkflowsPerplexity deep research → running 12–15 deep research reports per dayAI summarization & rewriting → e.g., turning multi-page trip reports into professional one-page summaries

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  39:16
• AI Digs For Insights From Unstructured Data with Philippe Dame of Recollective

  Subscribe at Thisnewway.com to get the step-by-step AI workflows.In episode 3 of This New Way, Aydin sits down with Philippe Dame, CPO of Recollective, to unpack how AI is transforming qualitative market-research, sales operations, internal knowledge-sharing, and day-to-day productivity.Phil walks through the product pivot that turned Recollective’s vast unstructured data into an “AI-first” insights engine, then demos a stack of no-code automations — from AI-powered lead scoring in Google Sheets to a self-serve Vertex AI search that makes every doc, deck, and Gong call instantly searchable.You’ll hear concrete play-by-plays, see cost breakdowns , and learn how to start small, scale fast, and turn AI into a force-multiplier across your org.Timestamps:00:35 Phil’s background and early web-tool days01:44 Pivot to Recollective and focus on market-research tech03:18 Why hybrid qual + quant research matters03:58 Unstructured data → perfect AI playground04:50 “Roadmap reset” after ChatGPT pressure06:00 How the team up-skilled on LLMs & vector DBs08:12 First AI features: summarization → theme extraction → comparisons09:05 Making space for AI work without derailing commitments10:10 Company-wide AI wins: sales data mining & lead scoring13:08 Relay + Google Sheets workflow for automated enrichment16:18 Running internal “AI office hours” to drive adoption17:05 Staying current: newsletters, trials, and cost control20:25 Seat-based vs. usage-based pricing—Phil’s take23:04 Perplexity as Phil’s go-to research sidekick24:50 Cutting the “collaboration tax” with self-serve AI answers27:24 Live demo: Recollective’s Ask-AI tab & verbatim citations31:28 Segment @mentions for instant comparative analysis37:04 Emotion tagging and drilling into negative feedback38:30 Building an internal Vertex-AI search in one afternoon42:23 Agent Builder setup walkthrough44:34 Relay use-cases: lead workflows, news scraping, stand-up bot53:23 n8n migrations: 4,000 Gong calls plus on-the-fly analysis56:30 OpenAI Playground & Notebook LM for ad-hoc knowledgebases1:02:20 Google AI Studio multimodal experiments (free)1:04:04 Start simple—one use-case, one stakeholder, iterateTools & Resources Mentioned:AI / LLMs & Model-PlaygroundsChatGPT (OpenAI)OpenAI Platform & PlaygroundClaude (Anthropic)Perplexity Pro- Google Gemini (Workspace)Google AI StudioKnowledgeBase & Search Vertex AI Agent Builder / Search (Google Cloud) Notebook LM (Google) Internal Vertex-powered “ask-AI” portalAutomation & WorkflowsRelay (no-code workflow tool with AI steps)Zapier (reference point)n8n (open-source automation + AI agents)Data, CRM & Sales EnablementGoogle SheetsSalesforceOutreachGong (call recordings)Collaboration & ProductivitySlack (AI channel, human-in-the-loop flows)Notion (company intranet)Google Drive & Google CalendarRSS feeds + custom “Article Extractor” scraperCore ProductRecollective (Phil’s qualitative-research platform with built-in AI features)Developer / Engineering UtilitiesCursor IDE (AI-assisted coding, briefly cited)

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