AI detectors have become a standard part of many content workflows. But should you actually use one before hitting publish?
The short answer: maybe, but not as a gatekeeper.
Here is what the current research says about how accurate these tools really are, when they help, when they backfire, and what a smarter pre-publish workflow looks like in 2026.
Continue reading “Should You Use an AI Detector Before Publishing?”
Wispr Flow is an AI voice dictation tool that transcribes your speech and rewrites it into clean, formatted text, directly inside whatever app you’re already using.
It’s aimed at writers, developers, and knowledge workers who want to reduce how much time they spend typing.
I’ve spent time testing Wispr Flow across a range of real writing tasks, and in this review I’ll cover how it actually performs, what the pricing looks like at each tier, where it falls short, and who it genuinely makes sense for.
Continue reading “Wispr Flow Review: Is It Worth Ditching Your Keyboard?”
AI detectors, watermarking, and provenance tracking are all trying to solve the same problem: knowing whether a piece of content was made by a machine.
But they approach it in completely different ways, with different strengths, different failure modes, and different situations where each makes sense.
This guide breaks down how all three work, where they fall short, and what the current state of the field actually looks like.
Continue reading “AI Detectors vs Watermarking vs Provenance Tracking: What ActuallyWorks?”
Glean is an AI-powered enterprise search platform designed to connect all of your workplace tools – from Google Workspace and Slack to Jira, Salesforce, and more – into a single, unified search experience.
It’s built for large organizations where finding the right information across dozens of apps has become a daily time sink.
Our research team has spent considerable time testing Glean alongside other enterprise AI platforms, and it scored highly in our rankings for search quality, integrations, and security.
That said, it’s not without trade-offs – particularly around pricing transparency, setup complexity, and the fact that it finds information but doesn’t act on it.
In this review, I’ll break down Glean’s features, pricing, and limitations so you can decide whether it’s the right fit for your team.
Continue reading “Glean Review 2026: Features, Pricing, and My Honest Experience”
There’s a new phrase making the rounds in developer circles, startup communities, and even TikTok feeds: vibe coding.
If you’ve seen someone casually claim they “built an app in two hours” using nothing but natural language prompts, you’ve already encountered it in the wild.
But what is it really? Is it a genuine shift in how software gets made, or just another overhyped buzzword? Let’s break it down.
I have a real problem with AI detectors, and probably not for the reasons you’d expect. I’m not worried about being “caught” using a GPT. Pretty much everyone does.
What bothers me is being accused of relying on AI more than I do, while other people get away with “0% AI scores” just because they change a few words around.
Most AI detectors promise incredible accuracy scores, but they still constantly flag real people, and miss fakes. I’ve pasted articles I wrote back in 2020 (pre-ChatGPT) into tools and still gotten an “AI-generated” label.
Continue reading “Pangram Review: The AI Detector that Makes False Positives a Thing of the Past”
Chatbase is a solid no-code AI chatbot builder that makes it easy to train a bot on your own content and deploy it across your website and messaging channels.
Our research into AI chatbot platforms has covered dozens of tools, so I can say with confidence that Chatbase is one of the fastest ways to get a working support bot live if you’re a small or mid-size business.
In this review, I’ll walk through Chatbase’s pricing, features, and real-world performance so you can decide whether it’s the right fit.
Continue reading “Chatbase Review 2026: A No-Code AI Chatbot Builder That Gets You Live Fast”
Based on our 40+ hours of hands-on testing of 15 AI meeting tools across live client calls, internal syncs, and sales conversations, NoteGPT is the best AI meeting tool overall because it combines accurate AI summarization, cross-platform browser-based capture, and affordable pricing into a single workflow that doesn’t require your whole team to onboard a new platform.
Continue reading Best AI Meeting Tools of 2026: Our Top 6 Picks
Otter.ai has long been one of the most recognized names in AI transcription and meeting notes. But it’s far from the only option, and for a lot of people it’s no longer the best one. The free plan caps you at 300 minutes a month and 30 minutes per conversation, AI summaries are thin compared with newer tools, and CRM sync is locked behind the Enterprise tier.
I tested six Otter.ai alternatives hands-on and compared them on transcription accuracy, ease of use, pricing, and the quality of AI-generated insights. NoteGPT is the best overall pick for clean, human-sounding summaries. Fellow is the one to choose for multilingual and compliance-heavy teams, Fireflies is the most collaborative, Fathom has the strongest free plan, Avoma is built for sales teams, and tl;dv is the best way to share clips and highlights.
Continue reading “Best Otter AI Alternatives in 2026: Our Top 6 Picks”
Choosing an AI note taker for your finance team is not about picking the flashiest tool or the one with the best marketing.
It’s about balancing security, accuracy, and admin control, while ensuring it integrates with your existing stack.
After reviewing over a dozen platforms and testing each in real-world meeting scenarios, I’ve narrowed it down to six tools that stand out for finance teams.
Each of these has been evaluated on compliance, transcription quality, features, and how well it fits into finance workflows like budgeting, investor calls, and month-end close reviews.
Here’s how they compare.
Continue reading “Best AI Note Takers for Finance Teams in 2026”
