Short answer: it's worth a few free hours before it's worth any money. Here is how to test whether articles is worth it for you, using the 85 free entries the library already holds.
A practical blog series from Bian Jiang documenting real workflows for integrating generative AI into daily work, from writing to research to automation.
Why I recommend it: I keep pointing clients to concrete "here is how I actually use it" examples rather than hype. This series is calm, tactical, and honest about what works.
A publisher covering cloud native, DevOps, open source, and AI-native software engineering news and analysis for developers, platform engineers, and engineering leaders.
Why I recommend it: One of the few tech news sources I trust to go deeper than the press release. If you are trying to understand what is actually happening in AI-native engineering, start here.
A guided system where AI builders share insights, contribute projects, evaluate real-world impact, and amplify practical skills alongside an AI mentor.
Why I recommend it: I like the emphasis on building and evaluating impact rather than just consuming AI news. Useful if you want to move from "AI curious" to "AI capable."
Blog from Athena HQ, an AI executive-assistant platform for entrepreneurs and founders, covering delegation, automation, and operations for lean teams.
Why I recommend it: Helpful for solo founders and small teams thinking about what to delegate to an AI assistant versus what still needs a human touch.
Creator-commerce blog covering how entrepreneurs, coaches, and indie makers build productized services, digital downloads, and monetized communities on Stan Store.
Why I recommend it: I like seeing how creators turn a simple link-in-bio store into a real mini-business. Great inspiration if you are testing a low-risk product idea before quitting a day job.
LinkedIn newsletter on age bias in hiring, with tactics for experienced candidates on positioning, interviewing, and answering the "overqualified" objection.
Why I recommend it: Being over fifty is not the problem; being framed as expensive and inflexible is. This newsletter works on the framing.
Interview prep and career advice for developers from Fahim ul Haq, drawing on 15+ years in big tech.
In plain terms: A newsletter of coding interview prep and tech career advice from a longtime engineer and founder. Focused on interview patterns, system design, and growth in engineering roles.
From the site: Interview prep and career advice for devs. Tips and takeaways from 15+ years in tech.
Why I recommend it: Pair this with mock practice. The system design and interview breakdowns map closely to what big tech actually asks.
Newsletter testing and comparing AI coding tools and prompts, with side-by-side results for developers.
Why I recommend it: Skip the hype cycle and read the comparisons. Pick one tool from a recent test, use it on a real project, and write up what happened.
A collection of articles and guidance for people breaking into or advancing in data-focused careers, covering portfolio building, interviews, and skill development.
Why I recommend it: Data roles are a common pivot target, but the path is not always obvious — this site collects practical, experience-backed guidance for making the jump.
Nonprofit publication covering the intersection of technology, platforms, and democratic institutions.
In plain terms: This nonprofit publication provides news, opinion, and analysis on how technology impacts government and democracy. You can read articles and listen to podcasts to stay informed on tech laws, platform regulations, and artificial intelligence ethics.
From the site: Tech Policy Press is a nonprofit media and community venture intended to provoke new ideas, debate and discussion at the intersection of technology and democracy. We publish opinion and analysis.
Why I recommend it: They publish outside contributors — a real place to build a byline in this field.
A media platform covering Black professionals in technology, with news, career content, and conference programming.
Why I recommend it: One of the clearest places to see who is building and hiring in tech beyond the usual coverage. The career section is more useful than most tech media.
Machine learning research explained clearly, by Sebastian Raschka. 199K+ subscribers.
In plain terms: This newsletter breaks down recent machine learning and artificial intelligence research into clear explanations. You can read it to stay up to date on new developments in the field.
Why I recommend it: Patient, teacherly explanations of ML research — great for career switchers.
Practical AI guidance for small business owners who aren't high-tech, from a fellow small business owner.
In plain terms: This newsletter provides practical artificial intelligence guidance written by a small business owner. You can learn how to use AI to help your business succeed, even if you are not high-tech.
Why I recommend it: Written for Main Street, not for engineers — start here if AI feels like it is not for you.
Power dynamics and inside stories from Big Tech, by Alex Kantrowitz.
In plain terms: This newsletter and podcast covers inside reporting on major tech companies and their impact on society. You can read weekly updates and listen to interviews to stay informed about the technology industry.
Why I recommend it: Good on how decisions inside big companies land on workers.
Executive-level career strategy from a 10+ year career coaching practice.
In plain terms: This site offers resume writing and career strategy services tailored for senior leaders and executives. You can get help creating leadership resumes, board bios, and LinkedIn profiles to support your next career move.
Why I recommend it: Strong on senior and executive positioning if you have outgrown the standard resume advice.
The U.S. Chamber of Commerce's small business media arm, with free guides, templates, startup how-tos, and a national webinar series.
In plain terms: This website provides practical guides, articles, and training for starting, managing, and growing a small business. You can explore new business ideas, find funding options, and learn the basics of hiring, accounting, and marketing.
Why I recommend it: Plain-English how-tos — a good middle ground between government sites and blogs.
Daily writing and research publication covering AI, business strategy, and how knowledge workers actually use new tools, plus its own suite of AI products.
Why I recommend it: I read Every when I want thinking about AI that goes beyond hype cycles. The essays are long but they change how you work.
Actionable insights from world-recognized founders, for aspiring and early-stage entrepreneurs.
In plain terms: This education platform provides free training, podcasts, and guides for aspiring and early-stage entrepreneurs. You can learn how to launch an online store, run digital marketing campaigns, and build a business using advice from experienced founders.
Why I recommend it: Practical founder interviews rather than motivation for its own sake.
Consumer technology news covering AI, gadgets, science, and the culture around them.
Why I recommend it: Good for staying conversational about tech trends without a paywall. Skim headlines weekly so interview small talk about your industry stays current.
Newsletter reporting on the fight to reshape technology in the public interest.
In plain terms: This newsletter reports on efforts to reshape technology in the public interest. You can read regular articles to stay informed about technology ethics and industry reform.
From the site: Idea Trafficking. Click to read Hard Reset, by Trafficker 01, a Substack publication. Launched 5 years ago.
Why I recommend it: Skimmable and current — good for staying briefed in ten minutes a week.
