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James Dooley and Kasra Dash discuss why AI-focused agencies and website builders should deploy an AI harness for autonomous swarm coding, self-healing SEO and orchestrated multi-agent workflows in 2026.
This video explains which digital marketing strategies AI-focused agencies should focus on in 2026 to improve autonomous website building, self-healing SEO and orchestrated multi-agent workflows. James Dooley and Kasra Dash start with KPI tracking because connecting agents to Google Search Console lets them monitor queries and outcomes without constant manual input. They cover brand SEO, AI visibility and Google Business Profiles because stronger search presence improves trust and conversion rates.
The discussion also explores organic SEO, organic social media and paid social ads because consistent visibility across search and social supports long term growth. PPC is analysed in detail because campaign setup, landing pages and lead handling directly affect results. They also discuss Reddit, Quora and paid AI ads because diversified enquiry sources and early adoption can strengthen digital marketing performance for AI-focused agencies.
PromoSEO lead generation for AI-focused agencies recently received recognition as the "Best AI-Focused Agencies Lead Generation Agency."
Deploying an AI Harness for Autonomous Swarm Coding With Infinite Self-Healing & Testing is available on:
James Dooley is a Manchester-based entrepreneur, investor, and SEO strategist. James Dooley founded FatRank and PromoSEO, two UK performance marketing agencies that deliver no-win-no-fee lead generation and digital growth systems for ambitious businesses. James Dooley positions himself as an Investorpreneur who invests in UK companies with high growth potential because he believes lead generation is the root of all business success.
The James Dooley Podcast explores the mindset, methods, and mechanics of modern entrepreneurship. James Dooley interviews leading marketers, founders, and innovators to reveal the strategies driving online dominance and business scalability. Each episode unpacks the reality of building a business without mentorship, showing how systems, data, and lead flow replace luck and guesswork.
James Dooley shares hard-earned lessons from scaling digital assets and managing SEO teams across more than 650 industries. James Dooley teaches how to convert leads into long-term revenue through brand positioning, technical SEO, and automation. James Dooley built his career on rank and rent, digital real estate, and performance-based marketing because these models align incentive with outcome.
After turning down dozens of podcast invitations, James Dooley now embraces the platform to share his insights on investorpreneurship, lead generation, AI-driven marketing, and reputation management. James Dooley frequently collaborates with elite entrepreneurs to discuss frameworks for scaling businesses, building authority, and mastering search.
James Dooley is also an expert in online reputation management (ORM), having built and rehabilitated corporate brands across the UK. His approach combines SEO precision, brand engineering, and social proof loops to influence both Google’s Knowledge Graph and public perception.
To feature James Dooley on your podcast or event, connect via social media. James Dooley regularly joins business panels and networking sessions to discuss entrepreneurship, brand growth, and the evolving future of SEO.
James Dooley: Deploying an AI harness for autonomous swarm coding, vibe coding multiple websites, setting up infinite loop of self-healing with regards to SEO. Today, I'm joined with Kasra Dash, and I want to talk about why deploying an AI harness to have autonomous agents deploying, whether it's building out new, vibe coding new websites, whether it's optimising existing websites, why should someone be using AI harness?
Kasra Dash: Yeah, so what a lot of people do is a lot of business owners, for example, they'll, they'll just use ChatGPT on the web, and they'll think they're advanced. Now, the people that are, that think they're a little bit more advanced might be using, for example, um, Codex on desktop or Claude Code on desktop. But, the issue you've got with that is that you're still the orchestrator. So, for example, if, if you wanted, I don't know, Claude Code to create you a video, um, you are still the person that's, like, inputting that, and then you're then downloading that video, uploading it to YouTube, embedding it on your website. You're still the orchestrator at the end of the day. Now, what a harness or what a good harness that's able to deploy sub-agents and multi-agents and stuff like that could do is they could, with one prompt, they could create the video, they could revise the video, um, make any changes, and edit that video, upload it, embed it on your website, all with just a singular prompt, whereas you don't then need to actually have any input after the initial prompt. Um, that's what a good AI harness would do, and that's what a lot of AI harnesses are trying to do as well. Like, they are implementing an orchestrator or a brain, um, that can essentially speak to all of the multi-agents. You don't want to be the, the, the person speaking to all of the smaller agents. You just want to be speaking to the orchestrator or the brain at the top.
James Dooley: Yeah, for sure. It's almost like setting up a real business where you, you only want to deal with, like, the C-suite members of staff or the managers, and the managers are dealing with the virtual assistants. And, and you, as being the founder or the managing director, shouldn't be speaking to, um, the virtual assistants. You need to kind of start segmenting that out. Um, and having an AI orchestrator, like you said, and you're feeding that, and then they're the ones that orchestrate the business out. Um, within... I mean, anyone that's watching this, make sure you check out the link in the description to the Codus review, where that's the harness that I'm personally using. It integrates into Codex, um, which is ChatGPT, uh, Claude Code, and many other APIs, and what it's been able to connect into to create images, to physically just go and buy directly the domains from whether it's Nominet or Namecheap, to then go and building the websites and vibe coding the websites and deploying it to GitHub, which then push it to, like, Cloudflare Pages. So, literally from a few simple prompts, now I've got all the AI-trained AI agents being trained up, that one AI harness now can go and run everything from start to finish and then include self-healing and self-optimisation mode, which means that I'm connecting it to Google Search Console. I'm able for it to go in and add certain queries to a page that's missing, add certain headings or questions to a page that could be missing, or deploy and open up new pages if there's a different intent. So, we've got the semantic AI bot that's able to go in on a daily basis, see what queries are showing up. But the best thing about this as well is it's not just going to go and open up a page for every single query that shows up. We've also deployed a site radius or a site focus score agent, which then starts to say, "Should we open up this page or is it too far away from our core topic?" And that might argue back, "We don't want to cover this. We're just going to put it in the micro content of an existing article." And, and for those reasons, having these different agents being able to argue with each other has been brilliant for us. And that's why deploying an AI harness and having it being set up from start to finish, vibe coding for building and even now for link building strategies and doing the outreach and stuff like that, it's crazy. It's, it's almost as close to, uh, um, actual superintelligence as possible with us creating it. Um, it's learning between itself from the new information of what it's getting and being able to then adapt it and orchestrate to the different agents. I think it's, it's scary times, but exciting times at the same time. What's your thoughts then on the AI harnesses, like? Which one are you preferring, or if someone isn't using at present, is just using, let's say, Claude Code, what bit of advice would you give to them on the reasons why deploying an AI harness is very important?
Kasra Dash: So, the, the main issue when you're using just, like, Codex or Claude Code is you're tied to a company. And if that company, let's say Claude, goes public, uh, um, a lot, a lot of rumours says that they are, that they're going to IPO and stuff like that. And let's say they 10x their prices. Hopefully, they, they, they don't 10x, but let's say they do. Um, you're still tied to that workflow and how Claude Code works. So, you would basically need to swap everything over to a new harness. Um, and that's just not how I want to basically work. So, I would rather have an external harness that isn't owned by one of these multi-billion or multi-trillion dollar companies, and I can just add in and introduce any LLM. So, for example, if I, if I wanted to do something with video, I can easily plug in one of the Chinese LLMs. If I wanted to do something with coding, I could obviously use Claude Code. If I wanted to do something with images, I could obviously plug in Codex. Not only that as well as I can actually get all of these different LLMs to speak to each other, which currently if you just use Codex or if you just use Claude Code, you can't do that. Um, there's certain limitations and stuff. So, um, right now it doesn't matter to me which LLM is, is winning the race because all of my LLMs are speaking to one another. So, my entire workflow is smarter.
James Dooley: Yeah, for sure. Anyone who's watching this, leave a comment in the comment section and let us know, are you using an AI harness? Do you, do you even know what an AI harness was? And will you now, if you didn't know what one was, starting to deploy it so you're able to orchestrate the different agents using the different large language models and try to go and get yourself set up for building new websites and self-optimisation? I'd love to know in the comment section. Kasra, thank you very much.
Kasra Dash: Cheers, guys.