The AI-thletic produces sports podcasts and sports infographics by combining the views of real fans, official match data and AI-powered content tools, all curated by a human sports fan. This page sets out who we are, how our content is made and why we do it this way, in line with Google’s guidance on disclosing how helpful content is created.
Who creates the content on The AI-thletic?
A human sports fan sits behind every podcast episode and infographic on The AI-thletic. I’m the founder and editor, and I’m a lifelong sports fan first and a publisher second. I choose the topics, gather the source material, review every AI output and decide what gets published. While AI plays a meaningful role in production, the editorial direction, the angle and the final call always rest with a human who genuinely cares about the sport being discussed.
That’s the simplest way to describe what makes us different: AI helps us scale, but a human sports fan is at the heart of every story we tell.
Why does The AI-thletic create AI-assisted sports content?
We create AI-assisted sports podcasts and infographics because traditional sports media often misses what fans are actually saying. Reddit threads, fan forums and post-match group chats contain some of the sharpest, funniest and most insightful takes in sport but they’re scattered across hundreds of communities and rarely make it into mainstream coverage.
The AI-thletic exists to bring those conversations together, pair them with official match data, and turn them into a sports podcast and visual infographic experience that captures the full picture in one place. Our aim is to be one of the best sports podcast and infographic destinations for fans who want data-driven analysis rooted in the real-world fan debate, rather than the same recycled hot takes you’ll find everywhere else.
How are our sports podcasts produced?
Each episode of The AI-thletic podcast goes through a four-stage process that pairs human research with AI audio production:
- Human research and source gathering. A human sports fan identifies the most topical stories in the world of sport: the matches, athletes and debates fans are genuinely talking about. Source material is then gathered from official match reports, verified statistics, trusted news outlets and active online fan communities.
- AI-assisted analysis and audio production. The curated source material is fed into AI content tools that analyse the inputs and produce a deep-dive podcast episode hosted by AI presenters. The AI’s role is to synthesise, structure and discuss; every source it works from has been chosen, reviewed and approved by a human first.
- Human review. Every episode is listened back to and reviewed for accuracy, fairness, tone and editorial value before it goes anywhere near a publish button. Episodes that don’t meet the standard are reworked or shelved.
- Distribution. Approved episodes are published on Spotify, Apple Podcasts and other major podcast streaming platforms, and embedded directly on theaithletic.com so you can listen wherever suits you best.
How are our sports infographics produced?
Our sports infographics follow the same fan-first, human-curated process as our podcasts. The same vetted source material: official data, match reports and community debate — is used to create visual breakdowns of the stats, stories and arguments fans care about most. Each infographic is reviewed by a human before being shared on our Instagram and embedded into related blog articles on theaithletic.com, where you can pair the visual with the matching podcast episode and a deeper written analysis.
The point is to give fans more than one way into a story: listen to the deep-dive, scan the infographic, read the article, share whichever you fancy.
How do AI and human editing work together?
AI and human editing work together at every stage to make sure our content is genuinely useful, fair and worth your time. AI handles scale: it can read, synthesise and structure information faster than any single fan ever could. The human handles judgment: choosing the right topics, checking the sources, catching errors and making sure the final piece reflects what fans actually care about. Neither half works on its own, and that’s intentional.
Can AI get things wrong?
Yes. AI can make mistakes, and we want to be straight with you about that. AI-generated audio and visuals can occasionally misinterpret context, mispronounce names or get a fact wrong, even with human review in place. We do everything we reasonably can to catch these before publishing, but no process is perfect.
If you spot something inaccurate in one of our podcast episodes or infographics, we genuinely want to know. Get in touch via our contact page and we’ll review it, correct anything that needs correcting and update the piece where we can.
What are our editorial standards?
The AI-thletic’s editorial standards rest on three principles:
- Source-led research. We start with verifiable match data, official reports and active fan communities, not guesswork.
- Human oversight. Nothing gets published purely on the back of AI output. A human sports fan reviews every episode and infographic before it goes live.
- Fan-first storytelling. If a story doesn’t matter to real fans, it doesn’t make the cut. We aren’t here to chase clicks with content fans don’t care about.
We’ll never present rumour or speculation as fact, and we’ll always be transparent about the fact that AI is part of how our content is made.
About the editor
Hi, I’m Ram, the founder, editor and resident sports obsessive behind The AI-thletic. I’ve been hooked on sport since the mid-1990s, when Manchester United’s treble-winning era and Real Madrid’s Galactico years pulled me into football for life. That same decade I caught the WWE bug in the attitude era, and yes, I’ve still got it.. and the list has grown ever since. These days you’ll find me deep in Premier League match threads, Champions League nights, F1 race weekends, Grand Slam fortnights and pretty much every big fight night going.
If you want the shortlist of athletes I’ll watch regardless of what else is on: Rafael Nadal, Roger Federer, Carlos Alcaraz, Serena Williams and Iga Świątek in tennis; Lewis Hamilton, Andrea Kimi Antonelli, Charles Leclerc and Arvid Lindblad in F1, with my loyalties split between Mercedes and Ferrari; and in boxing, Anthony Joshua, Oleksandr Usyk, Muhammad Ali, Chris Eubank Jr and Floyd Mayweather.
I started The AI-thletic because mainstream sports coverage kept missing the conversations real fans were actually having – the arguments in the group chat, the takes buried on Reddit, the bits that get drowned out between the highlights and the headlines. Every podcast episode and infographic on this site has my fingerprints on it, from the sources I choose to the final review before anything goes live.
You can find me on Instagram (@ramfiki), X (@ramfiki – although I barely post here anymore) or LinkedIn. Drop me a message if you want to talk sport, suggest a story or flag something I’ve got wrong.
Ram
Got feedback or a story idea?
If there’s a sports debate you’d love us to cover, a correction you want to flag or a fan community we should be listening to, drop us a line via our contact page. The AI-thletic is built around the fan community, so your input genuinely shapes what we publish next.