No Hacks with Slobodan Manic: Honest Verdicts on the Agentic Web

Slobodan "Sani" Manić
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No Hacks with Slobodan Manic is a weekly show about the agentic web: what happens when the visitors reading, citing, and buying from your website aren't human. Each episode is a 15 to 20 minute verdict on the week: what got built, who paid for it, whether anyone is actually using it, and whether it's worth your attention and money yet. Most weeks that is Sani on his own, with occasional guests who built the thing worth asking about. No clickbait, no vendor talking points, a practitioner who checks the primary source and tells you plainly. Host Slobodan Manic is a CXL-certified conversion specialist, WordPress Core Contributor, and the creator of Machine-First Architecture.

  1. Aug 12

    230: A Shoe Company And A Cookie Company Now Say The Exact Same Thing To AI Agents

    On August 5 Shopify switched on a second way into every store on its platform, built for AI agents instead of people. Nothing to install, no merchant asked. I opened three unrelated stores, Allbirds, Brooklinen and Partake Foods, and asked each what it could do for a machine. All three answered with the same roughly 800 words, identical character for character, and no merchant wrote a syllable of it. What those words say, and what it costs a brand when the visitor has no eyes. Chapters 00:40 Thirty years of every shop trying to sound different02:13 What Shopify switched on, overnight, on every store03:19 Three stores, one identical answer05:06 The tools are stage direction for a machine08:13 Nobody is using any of it yet13:45 Your voice does not transmit, your data doesKey Numbers Three unrelated stores returned the same ~800 words of tool text, identical character for characterThe adapter file is version 0.1.0Etsy put AI agent platform traffic under 1% of its total in Q2 earningsShopify reports AI-referred orders tripled, which is referred traffic, not agents buyingShopify reports over a million merchants on the platformThree Takeaways Shopify wrote what your store says to machines, and every other store says it too. These are instructions, not descriptions. The checkout tool tells the agent to "follow it." Another tells it not to ask the shopper about missing options when it decides they only want to look. Someone chose when the customer gets consulted, and it was not the customer or the merchant.This is the right way to build it, which is separate from whether anyone noticed. The tools read the same database as the storefront people see, so the two cannot drift apart. One good default beats a million bad ones. It is still worth knowing a default was set for you.If the machine is the visitor, your voice does not transmit and your data is what is left. The photography, the badges, the reviews, the copy someone agonised over: none of it survives the call. Back comes a title, a price, a size run, availability. What is left to compete on is whether your prices are right and your stock is accurate. That work pays off whether or not the agents arrive.Mentioned My WebMCP reference guide: https://nohacks.co/blog/what-is-webmcpWhat I found on day one: https://nohacks.co/blog/shopify-gave-every-store-an-agent-apiShopify's docs for building the buyers: https://shopify.dev/docs/agentsTalia Wolf and the Emotional Targeting FrameworkEpisode 229, llms.txt against 137,000 domainsNewsletter, one a week: https://nohacks.co/subscribe Say hello: hi@nohacks.co No Hacks runs no sponsorships and is funded by advisory and audit work.  If your website needs to work for machines as well as people, start with a fixed-scope Machine-First Architecture audit: https://nohacks.co/audit

  2. Aug 5

    229: Does llms.txt Work? What 137,000 Domains' Server Logs Show

    Most of what's sold as AI search optimization has never been tested by the people selling it, and this episode is me checking the biggest one against server logs. Ahrefs looked at 137,000 domains in June: 97% of llms.txt files got zero requests in May, and the biggest readers of the rest were SEO audit tools. I also lay out the line I use to sort every pitch: a hack tries to influence what the machine says about you, architecture changes what a machine can read and do on your website. Chapters 00:00 The AI optimization economy and its zero evidence 02:50 llms.txt checked against 137,000 domains 06:00 The main readers of llms.txt are SEO audit tools 08:53 Why this market keeps producing hacks 10:23 Visibility scores and the prompt problem 12:43 Every generation of hacks dies the same way 15:08 What survives model updates 18:39 The mirror: fix what the internet thinks you are Key Numbers 137,000 domains in Ahrefs' June 2026 server-log study28% had a valid llms.txt file, and that number is the ceiling, their customers skew technical97% of those files got zero requests in May, not low traffic, zeroOf the 3% that got fetched, around 22% of the readers were SEO audit tools, the tools that flag you for not having the fileMy own Cloudflare logs at nohacks.co show the same thing, nobody fetches itThree Takeaways The pitch is a screenshot, the truth is in the logs. Before you pay for any AI visibility work, ask for evidence at the level of server logs, and watch what happens.A hack tries to influence what the machine says about you. Architecture changes what a machine can read and do on your website. The first is rented and dies at the next model update, the second is owned.LLMs are a mirror of everything happening online. If ChatGPT doesn't call you the best X for Y, the honest question is whether the internet agrees you are, and that's the problem worth fixing.What to Do Sort anything you bought or got pitched this quarter with one question: does it change what a machine can read and do on the website, or what the machine says about it?Ask any vendor for their evidence before money leaves your account. Logs, tests, a mechanism, the same bar you'd use for anyone touching revenue.Check your own server logs for who actually fetches your llms.txt, it takes five minutesTry this: open free ChatGPT logged out of search, type "what is [your name] known for," and send me the screenshot at hi@nohacks.co. I want to see what you get.Sources Ahrefs llms.txt server-log study (June 2026): https://ahrefs.com/blog/llmstxt-study/My identity-vs-capability piece: https://nohacks.co/blog/agentic-web-identity-vs-capabilityWeekly newsletter: https://nohacks.co/subscribeNo Hacks runs no sponsorships and is funded by advisory and audit work.  If your website needs to work for machines as well as people, start with a fixed-scope Machine-First Architecture audit: https://nohacks.co/audit

  3. Jul 24

    228: OpenAI Killed Its AI Browser

    I came back from a month off the grid to find OpenAI had killed Atlas, its most glamorously launched product, nine months after the keynote. It barely matters, though. The automated, non-human visitor Atlas was sending to your website is still coming, through whatever shell comes next. Build for the visitor, not the browser. Timestamps 00:00 - Back from break, and the bad news01:17 - Atlas: the most hyped browser ever launched02:27 - Watching it work is a demo, not a workflow03:29 - Killed with no keynote: the browser was never the product04:35 - The visitor isn't dead, so build for it05:24 - The real agentic web: background agents you don't watch07:52 - Silent failure: a human recovers, an agent doesn't09:41 - OpenAI's side quests, and the name that gave it away12:48 - My Cloudflare data: AI traffic is 5-10x human14:24 - What No Hacks is nowKey Numbers AI assistant traffic (ChatGPT and Claude users) is running 5-10x my human traffic on nohacks.co (my own Cloudflare AI analytics)Atlas: launched October 2025, shuts down August 9, 2026, nine months oldEight months in, Atlas never shipped beyond macOS, no Windows, iOS, or AndroidKey Takeaways The visitor outlives the shell. Browser, app, extension, cloud: the wrapper keeps changing, but the automated visitor arriving at your website is the same one every time. Build for the visitor, not the browser.Watch-it-work AI browsers were always a demo. If you have to sit and watch it, it is not a workflow. The real agentic web runs in the background, which means its failures are silent, and you never see the lost signup or sale.Being cited is not the whole game. The agent does not only mention you, it comes to your website and tries to act. Optimizing to appear in a prompt misses the harder work: a website a machine can actually use.What to Do Simplify the paths a human muscles through but an agent will not: coupon-box bugs, cookie banners, console errors. The agent hits the wall and leaves, silently.Check your own logs and bot analytics for AI-assistant traffic. You are probably getting more than you think.Stop optimizing only to be discovered. Make the website something an agent can finish a task on.More on this every week in the No Hacks newsletter: nohacks.co/subscribeSources & Links The story OpenAI is shutting down Atlas (TechCrunch)My companion take and data AI Browsers Are Backward Because Agents Never Needed the Visual LayerCloudflare Radar: bot and AI trafficNo Hacks runs no sponsorships and is funded by advisory and audit work.  If your website needs to work for machines as well as people, start with a fixed-scope Machine-First Architecture audit: https://nohacks.co/audit

  4. Jun 17

    227: ChatGPT Shopping Is Scraped Google Shopping with Malte Landwehr, CMO/CPO at Peec AI

    I sat down with Malte Landwehr, who left VP of SEO at Idealo to become CPO and CMO at Peec AI, the platform that tracks what ChatGPT, Claude, Gemini, and Google AI Overviews actually cite. We open on the strangest finding of the year. GummySearch, a Reddit analytics tool that shut down last November, now sits behind about 0.1% of all ChatGPT citations. From there we get into why clicks are the wrong way to measure AI search, why your local brand keeps losing to US ones, why scaled AI content rockets then crashes, and why Malte says SEO is dead as a default growth channel. Guest Profile Malte Landwehr is CPO and CMO at Peec AI, an AI search visibility platform that runs daily prompts across ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and Grok. He spent more than twenty years in search and product, including five years as VP of SEO at Idealo and five years as VP of Product at Searchmetrics. In his first six months at Peec AI, the company grew from roughly $500K to $5M in ARR. Chapters [0:00] Intro[1:15] Leaving one of Europe's best SEO jobs for AI search[5:07] Why clicks are the wrong way to measure ChatGPT[8:22] Which answer engines actually matter[12:34] GummySearch: a dead product winning ChatGPT citations[18:33] Listicles and the English-language fan-out bias[23:48] Advertorials, local results, and Mount AI content[33:50] Digital PR over technical SEO[36:27] ChatGPT Shopping is scraped Google Shopping, and the MCP contest[42:16] SEO is dead as a default channel, and the chunking moveKey Takeaways Stop measuring AI search by clicks. In an LLM, clicking is optional, so ChatGPT can look like 1% of your traffic while shaping most of your buying journeys. Measure the influence on the decision, not the visit.What gets written about you offsite now matters more than your own technical SEO. Grounding pulls from Reddit, G2, Wikipedia, YouTube, and news, so digital PR is the bigger lever for how AI describes and recommends you.One citable paragraph beats a chunked article. Put your main claim near the top in two or three declarative, self-contained sentences that name the entities. Do not shred a whole article into one-line bullets.Notable Quotes "In a web search, clicking is part of the intended user journey. In an LLM, clicking is completely optional." Malte Landwehr "They didn't gain visibility as a brand. They now have power over what brands are recommended by LLMs." Malte Landwehr, on GummySearch Resources Peec AI: https://peec.aiPeec AI research blog: https://peec.ai/blogMalte Landwehr's website: https://www.maltelandwehr.deFuture of AI Shopping webinar with Malte Landwehr (Peec AI): https://peec.ai/webinars/future-of-ai-shoppingConnect Malte Landwehr on LinkedIn: https://www.linkedin.com/in/landwehr/Peec AI: https://peec.aiNo Hacks runs no sponsorships and is funded by advisory and audit work.  If your website needs to work for machines as well as people, start with a fixed-scope Machine-First Architecture audit: https://nohacks.co/audit

  5. Jun 3

    226: Most Brands Are Chasing AI Visibility Backwards with Alisa Scharf, Chief AI Officer at Seer Interactive

    This week I welcome Alisa Scharf, Chief AI Officer at Seer Interactive, to the podcast, to ask the question she fires back at every client who walks in wanting to "win at AI visibility." Her answer flips the whole project: fix what the models get wrong about you before you chase the category terms. We got into her research on why lower-authority websites earn more citations, why LLMs recommend a brand only 2.3% of the time, and the gap nobody is tooling for: getting an agent to actually use your website, not find it. About the Guest Alisa Scharf is Chief AI Officer at Seer Interactive, where she runs the AI practice across the agency's client accounts. Her team's research spans hundreds of thousands of pages and tens of thousands of prompts, and she argues that citations are a leading indicator, not a business outcome. Chapters 00:00 - The first question Alisa asks a new client04:08 - Brand accuracy: what models get wrong about you06:57 - Defense wins championships09:54 - The brand accuracy audit13:12 - Why lower-authority websites get cited more15:57 - Citations are page two of Google19:37 - LLMs recommend a brand 2.3% of the time21:49 - The agentic browsing tooling gap28:13 - Losing 30-80% of organic traffic37:31 - How a 15-year-old brand catches up40:24 - What we will get wrong in 12 months43:18 - Where to find AlisaKey Takeaways Defense before offense. Pick five factual prompts about your own company, founding, location, what you sell, who you compete with, and run them across ChatGPT, Claude, and Gemini. Fix what the models get wrong before you spend a dollar chasing category terms.Citations are a leading indicator, not a result. They swing by month and by model. Real success shows up in direct traffic, branded search, and brand recognition, none of which sit neatly on a dashboard.Visibility is not readiness. Getting cited and getting an agent to actually buy, book, or provision on a customer's behalf are two different problems. Most providers sell the first and call it the second.Notable Quotes "You can flip an old house and turn it into a really impressive place to live. You can't flip an old house and turn it into a skyscraper." "Everything we just spent the last 10, 15, 20 years learning is now doing you a disservice, because you really have to turn to a fresh page and say, where is my audience?" Resources Seer Interactive: https://www.seerinteractive.comSeer insights and research: https://www.seerinteractive.com/insightsNo Hacks EP 222, Wil Reynolds, AI visibility is a vanity metric: https://nohacks.co/episode/222-ai-visibility-is-a-vanity-metric-with-wil-reynoldsNo Hacks EP 225, Matt Biilmann on agent experience: https://nohacks.co/episode/225-every-website-already-has-an-agent-experience-and-most-are-bad-with-netlify-ceo-matt-biilmannSparkToro: https://sparktoro.comConnect with Alisa Scharf LinkedIn: https://www.linkedin.com/in/alisascharf/X: https://x.com/alisa_scharfBio: https://www.seerinteractive.com/people/team/alisa-scharfNo Hacks runs no sponsorships and is funded by advisory and audit work.  If your website needs to work for machines as well as people, start with a fixed-scope Machine-First Architecture audit: https://nohacks.co/audit

  6. May 20

    225: Every Website Already Has An Agent Experience And Most Are Bad With Netlify CEO Matt Biilmann

    The user-agent string in the HTTP header has been there since the 1990s. The web was built with software navigating it on someone's behalf. For thirty years that someone was a human. That changes now. Matt Biilmann, CEO and co-founder of Netlify, was one of the first to take seriously what it means when the "user" navigating the web is an AI agent.  He published the foundational essay on Agent Experience in January 2025, pivoted his entire company around it, and recently shipped netlify.ai as a separate entry point built for agents. We cover the four pillars of Agent Experience, why every product already has an agent experience whether you designed one or not, content negotiation as a way to tell agents to go to a different URL than humans, why SaaS is in real trouble (with a story from inside Netlify about ripping out vendor contracts), how the data-structure assumption that has defined software for fifty years is breaking, and the one thing every website owner should start doing this week. About the Guest Matt Biilmann is the CEO and co-founder of Netlify, the platform that started the Jamstack movement and is leading the shift from developer experience to agent experience. His January 2025 essay on Agent Experience is the foundational text for the discipline.  Chapters 00:00 Every product has an agent experience (cold open)00:35 The architectural question01:46 Welcome Matt to No Hacks02:15 When AX became a design constraint, not a concept06:44 The January 28 2025 essay and who got it first10:22 Why netlify.ai was built as a separate website12:44 Content negotiation: telling agents to go to a different URL13:54 Qualitative data and the Axis eval framework17:12 Does AX apply to e-commerce and content websites?20:59 The cumulative media argument (TV did not kill radio)25:00 User-agent in HTTP and Al Gore-era agent commerce laws26:33 SaaS business model is dead: build-vs-buy is shifting30:44 The end of structured content as a hard constraint40:25 One thing every website owner should do now43:08 Where to find Matt onlineKey Takeaways Every website already has an agent experience. Agent Experience is how AI agents currently interact with your product, whether through computer use, fetching, or working around the barriers you put up. It is not a feature you add. The only question is whether the experience is good or bad.The four pillars: Access, Context, Tools, Orchestration. Matt's framework for thinking about AX systematically. Access answers whether agents can reach your product at all. Context is the prompt-engineering equivalent for agents. Tools are the concrete capabilities you expose. Orchestration covers how agents string those tools together inside your product.Build a separate entry point for agents. netlify.ai is purpose-built for agents while netlify.com remains the human entry point. Content negotiation tells agents to go to one URL, humans see the other. The blessed-path approach beats trying to make one URL serve both.SaaS economics are shifting structurally. The build-vs-buy floor is dropping fast as AI lowers the cost of software. Traditional 90%-margin seat-based SaaS is in real trouble. Dev tool companies have upside because companies need more tools. Everyone else is going to be ripping out vendor contracts and building internally.The data-structure paradigm is breaking. Software engineering has operated on the Linus Torvalds principle that data structures matter more than code. LLMs are not built around data structures. Building software around LLMs means rethinking the assumption that drove fifty years of computer science.Notable Quotes "Every product has an agent experience because all of these agents, whether through computer use or through fetching your website or through working around the barriers you put up from them, have some agent experience right now. It is just a question of is it good or bad." "There is a reason it is called a user agent in the header. It was forward-looking." "We have been ripping out SaaS contracts. Sometimes it is heartbreaking. The rep calls to right-size the contract and the customer reacts with 'let me see if I can build it with an agent.' Then they call back and cancel instead." "The context and the flows and your creativity are probably more important than both the data structures and the code." What To Do Next Open your website in Claude Code or ChatGPT and ask the agent to complete a real task. Watch where it stalls. That is your AX baseline.Check your traffic logs for AI assistant visitors (ChatGPT-User, Claude-Web, PerplexityBot, GPTBot). The number is rising whether you measure it or not. Cloudflare reports AI assistants are now 5.5% of all internet traffic, up from 3.9% six months ago.Read Matt's January 28 2025 essay on Agent Experience at biilmann.blog as the starting point. Then read the one-year retrospective for the four pillars framework.If you operate a developer tool or any product with a clear automation surface, start a simple eval scenario: take a fresh agent, give it a task, score whether it succeeds. Axis from Netlify will give a proper framework when it ships open source.Resources Mentioned netlify.ai (the agent-built entry point Matt and team shipped recently)netlify.com (the human entry point)Matt's original Agent Experience essay, January 28 2025: biilmann.blogMatt's "AI in the CLI: The Humanoid Robot of the Web" (August 2025) Claude Code (the agent that flipped broad accessibility for CLI coding agents)Connect with Matt Biilmann Blog: biilmann.blogLinkedIn: linkedin.com/in/mathias-biilmann-christensen-a5a3805Twitter/X: @biilmann (x.com/biilmann)Bluesky: bsky.app/profile/did:plc:grjr4il5dredrsuj7nosb4pqMastodon: mastodon.social/@biilmannNetlify: netlify.com and netlify.aiConnect with No Hacks Website: nohacks.coSubscribe to the newsletter: nohacks.co/subscribeMachine-First Architecture: machinefirstarchitecture.comNo Hacks runs no sponsorships and is funded by advisory and audit work.  If your website needs to work for machines as well as people, start with a fixed-scope Machine-First Architecture audit: https://nohacks.co/audit

  7. May 14

    224: Google's OS-Level AI Agent: Building Samantha Into Android

    We are significantly closer to movie Her than we were just 6 months ago. Most coverage reads Google's last six months as a string of independent product updates. They aren't. Read together, they're the whole agentic-web stack closing one component at a time. Tuesday's Gemini Intelligence on Android announcement named the keystone - the first OS-level web-agent integration any company has built. Chrome auto-browse lands on Pixel 10 and Galaxy S26 in late June. This episode walks through the six-month assembly (Chrome auto-browse, AppFunctions, AI Mode in Chrome, "Ask Google", web.dev agent-friendly guidance, Gemma 4 + Gemini Nano 4, UCP, A2A, Gemini Intelligence Android, DeepMind AI Pointer), the durability question I can't fully answer yet (five-year moat or six-month head start before Apple closes it), and the audit any website needs to pass once an agent can operate it on a user's phone. Timestamps: 00:00 - 10 Google moves in six months04:53 - Walking the six-month assembly, January through this week06:51 - The full stack: action, agent-to-app, transaction, identity, distribution, input09:01 - Late June: what changes for a salon owner with a booking website10:32 - The durability question: Apple's six-month gap, not a five-year moat15:47 - Machine-First Architecture: three visitor classes you have to design for16:19 - Google's seven rules. nohacks.co passed six. Tailwind 4 broke one.17:32 - The test you can run today: disable JavaScript, try to complete a booking20:53 - A few days to fix it. The cost of waiting is unknown.Weekly breakdown of how the agent-web is assembling, every Wednesday: https://nohacks.co/subscribe The Machine-First Architecture framework: https://machinefirstarchitecture.com Sources mentioned in this episode: DeepMind AI Pointer (May 13): https://deepmind.google/blog/ai-pointer/Gemini Intelligence Android (May 12): https://blog.google/products-and-platforms/platforms/android/gemini-intelligence/Chrome auto-browse preview (January): https://blog.google/products-and-platforms/products/chrome/gemini-3-auto-browse/AppFunctions for Android (February): https://developer.android.com/ai/appfunctionsGoogle web.dev - "Build agent-friendly websites" (April): https://web.dev/articles/agent-friendly-websitesUniversal Commerce Protocol: https://ucp.dev/Related reading on No Hacks: Selling to AI: The Complete Guide to Agentic Commerce - https://nohacks.co/blog/agentic-commerceGoogle's Agent-Friendly Checklist Has 7 Rules. Tailwind v4 Breaks One. - https://nohacks.co/blog/google-agent-friendly-checklistAmazon v. Perplexity: The CFAA Case That Decides Whether AI Agents Can Visit Your Website - https://nohacks.co/blog/amazon-perplexity-cfaa-agent-visitor-rightsNo Hacks runs no sponsorships and is funded by advisory and audit work.  If your website needs to work for machines as well as people, start with a fixed-scope Machine-First Architecture audit: https://nohacks.co/audit

  8. Apr 22

    223: I Scored 33/100 on Cloudflare's New Agent-Readiness Scanner

    I ran the Cloudflare Agent Readiness scanner on nohacks.co, got 33 out of 100, and felt insulted. One toggle later the score was 67. That gap is where this episode starts. My case: the web is splitting into two economies. A retailer-friendly agentic web where AI-referred traffic now converts 42 percent better than human traffic. And a page-view-driven publisher web losing 20 to 90 percent of its Google traffic in a year. This split is structural, not a rebalancing. Chapters: 00:00 Opening00:41 The 33, then 67 score on nohacks.co02:46 The thesis: the web is becoming two webs03:55 Cloudflare Agents Week: 28 shipments in five days05:35 The data stack: Adobe 393%, the conversion inversion, publisher declines10:08 The mobile-first parallel11:21 Why this split is permanent13:12 The "publishers will adapt" and licensing-deal rebuttals17:02 Three sector-specific moves19:34 Closing: run the scanner, reply with your scoreKey Numbers Cloudflare shipped 28 agent-infrastructure pieces during Agents Week (April 13 to 17, 2026)AI traffic to US retailers grew 393 percent year over year in Q1 2026 (Adobe)AI-referred traffic converted 42 percent better than non-AI in March 2026, after converting 38 percent worse in March 2025Google traffic to publishers down 33 percent globally; some local publishers down 25 to 90 percentAutomated traffic growing 8× faster than human traffic year over yearThree Takeaways The split is structural, not a rebalancing. Retailers fit the agentic web because agents complete the same action the website wants. Page-view publishing does not, because the agent summarizes instead of sending a human to see an ad.The composite score is a trigger, not a target. Ignore the number. Read the per-check list and fix the signals that ship against real agent runtimes today.Watch the infrastructure before the mainstream catches up. The mobile-first rebuild shipped years before the indexing caught up. This is the same gap, different shape.What to Do Run isitagentready.com on your website. Toggle the category, re-run, compare.Transaction-driven revenue: agent readiness is tied to revenue. Fix the checks that ship against real agent runtimes now.Page-view-driven revenue: model your P&L with 30 percent less traffic this quarter. If it breaks the business, start diversifying today.Reply to the newsletter with your score. I read every reply.Sources Cloudflare Agent Readiness ScoreAdobe Q1 2026 AI Traffic Report via TechCrunchPublisher traffic drop (Press Gazette)What is the Agentic Web (nohacks.co)No Hacks runs no sponsorships and is funded by advisory and audit work.  If your website needs to work for machines as well as people, start with a fixed-scope Machine-First Architecture audit: https://nohacks.co/audit

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No Hacks with Slobodan Manic is a weekly show about the agentic web: what happens when the visitors reading, citing, and buying from your website aren't human. Each episode is a 15 to 20 minute verdict on the week: what got built, who paid for it, whether anyone is actually using it, and whether it's worth your attention and money yet. Most weeks that is Sani on his own, with occasional guests who built the thing worth asking about. No clickbait, no vendor talking points, a practitioner who checks the primary source and tells you plainly. Host Slobodan Manic is a CXL-certified conversion specialist, WordPress Core Contributor, and the creator of Machine-First Architecture.

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