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How We Prevent AI Hallucination in Data Search

May 19, 2026 · Dustin Collins · 3 min read

Generative AI is remarkable at synthesising language — but that same fluency becomes a liability when users need factual answers from their own data. Ask an unprepared AI what is the price of SKU LF-100016? and it will confidently produce a number. It just might not be the right number. This post explains the four-layer system we built to make sure every answer our AI gives is grounded in real, retrieved data — not in its training memory.

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May 18, 2026
How to Test AI Search for Hallucinations (Simple, Hands‑On Methods)
Melissa Olson · 3 min read
AI data search tools can feel impressive on the surface. They pull facts, summarize results, and answer questions in seconds. Still, speed is not the same as accuracy. A search system can sound confident while mixing real facts with wrong details, outdated claims, or made-up links. If you want to know whether an AI search tool hallucinates, you do not need a lab or a complex process. A few focused tests can reveal a lot. The goal is not to find a perfect tool. The goal is to see how often the tool stays grounded, how it handles uncertainty, and how it behaves when the question gets tricky.
May 17, 2026
The Scheduling Gap: Why AI Struggles and Forms Win
Emily Henderson · 3 min read
Appointment scheduling looks simple on the surface. A person asks for a time, another person checks a calendar, and both sides agree. In practice, this small task carries a surprising amount of friction. When AI tries to handle scheduling in a human-like way, it runs into issues with language, memory, tone, timing, and context. Forms, on the other hand, cut through much of that friction. They collect the right details in a fixed order, reduce back-and-forth, and give teams cleaner data to work with. That is why forms often perform better than chat-based systems for scheduling.
May 16, 2026
How to Add Multiple Languages to Your Website (Step by Step)
Elise Taylor · 3 min read
A website that speaks more than one language can open doors to wider audiences, better trust, and stronger growth. The good news is that you do not need a huge engineering team to get there. There are several ways to build a multilingual site, starting with simple methods and moving toward more advanced setups as your needs grow. The best approach depends on your budget, your content volume, and how often your site changes.
May 15, 2026
How to Test AI-Generated JSX Locally Without the Headache
Nina Kimes · 3 min read
AI can draft a web page in JSX in seconds, but the real work starts when you want to run it on your own machine. The good news is that testing an AI-made JSX page locally can be quick, clean, and low-stress if you use a simple setup. With a small React project, a browser, and a few quick checks, you can see the page live, spot broken parts, and edit the code with confidence.
May 14, 2026
Claude for Small Business Shows the SMB AI Gap Is Still Wide
Elise Taylor · 3 min read
Claude for Small Business is a strong signal that mainstream AI providers now recognize small and medium businesses as a distinct segment with different needs, but the existence of such a product actually highlights how wide the real access gap still is for most SMBs. While the marketing message is that AI is now “just a toggle away” inside familiar tools, the hard problems are no longer about having a capable model or a convenient interface. The real friction sits in skills, workflows, trust, and economics: issues that a single product, no matter how polished, cannot fully resolve. In that sense, Claude’s launch is less the end of the journey to “AI for every small business” and more a visible milestone that exposes how much foundational work remains before AI becomes a practical, reliable, and routine part of everyday operations for the typical SMB owner.
May 13, 2026
Why RCS Is Becoming Popular — And Why Big Tech Is Moving Into the RCS Business
Elise Taylor · 3 min read
RCS, short for Rich Communication Services, is becoming one of the biggest shifts in mobile messaging because it upgrades traditional SMS into a modern, app-like messaging experience. Instead of plain text messages with limited media support, RCS allows users and businesses to send high-quality photos, videos, read receipts, typing indicators, branded messages, interactive buttons, carousels, and more. For years, RCS was mostly an Android and carrier-led technology, but the market changed when Apple added RCS support to iPhone with iOS 18, making RCS a serious cross-platform messaging standard for both Android and iPhone users. Apple says RCS on iPhone requires iOS 18 and a carrier that supports RCS messaging.
May 12, 2026
Can Users Reuse Their Own Facebook or Instagram Photos on Another Platform?
Lillian Kim · 3 min read
When someone uploads a photo to Facebook or Instagram, they usually do not give up ownership of that photo. In most cases, users can reuse their own photos on other platforms, websites, portfolios, marketplaces, or apps. But for product builders, there is an important difference between a user having the right to reuse their photo and your platform having permission to access it programmatically. Meta does provide APIs that can let users connect their Facebook or Instagram accounts and authorize access to their media, but those APIs require user consent, approved permissions, and compliance with Meta’s platform rules. So the practical answer is: yes, users can generally bring their own Facebook or Instagram photos to another platform, but your app needs to do it through the proper OAuth and API flow.
May 11, 2026
What Is OpenShift Kubernetes Engine, and Why Do Businesses Need It?
Jessy Chan · 3 min read
OpenShift Kubernetes Engine, often shortened to OKE, is Red Hat’s entry-level enterprise Kubernetes platform for organizations that want the core power of Kubernetes without buying the full OpenShift Container Platform feature set. It gives companies a supported, security-focused way to run containerized applications across on-premises data centers, private clouds, public clouds, and hybrid environments. In simple terms, it is for businesses that want Kubernetes, but also want Red Hat’s enterprise support, tested integrations, automated installation, operating system integration, patching, and lifecycle management instead of building and maintaining everything themselves from open-source components.
May 10, 2026
Why ChatGPT Loves Ending Articles With “Conclusion”
Dustin Collins · 3 min read
There is a familiar rhythm to AI-written articles. They open with a broad setup, move through neatly labeled sections, and then, almost inevitably, arrive at a final heading: Conclusion. For many readers, that word has become a tell. It feels like the textual equivalent of stock photography: functional, recognizable, and slightly generic. The article may be useful. The points may be sound. But when the final section is simply called “Conclusion,” something about the writing can feel machine-shaped. This is not because ChatGPT has a secret affection for the word. It is because “Conclusion” is safe, conventional, and statistically useful. It solves a structural problem. But it also reveals one of the most common weaknesses of AI writing: the tendency to choose clarity over character.
May 9, 2026
The Market for IPv4 Addresses: Who’s Buying, Who’s Selling?
Dustin Collins · 3 min read
For most internet users, an IP address feels like plumbing: invisible, boring, and always there. For cloud providers, hosting companies, telecom operators, email platforms, VPNs, and fast-growing SaaS businesses, IPv4 addresses have become something else entirely: scarce infrastructure with a real market price. That market exists because IPv4 was built with a hard ceiling. The protocol uses 32-bit addresses, giving the internet roughly 4.3 billion possible IPv4 addresses, many of which are reserved or otherwise unavailable for normal public use. The central global IPv4 free pool was depleted in February 2011, when IANA distributed the last available /8 blocks to the five Regional Internet Registries.
May 8, 2026
How Long-Context AI Is Changing the Way We Write
Aria Singh · 3 min read
A long-context AI does something that earlier writing tools rarely managed well: it keeps the whole book in view while you work on one page. That sounds technical, but the creative effect is emotional as much as practical. A writer can draft a chapter twelve argument, a tiny clue in chapter three, a side character’s injury, and a half-finished romance arc without losing track of what each piece is doing. When an AI can hold a 300-page manuscript in working memory, the relationship between writer and draft starts to shift. The draft feels less like a pile of scenes and more like a living structure that can answer back.
May 7, 2026
What Would Happen If Your WhatsApp Could Answer Guests While You Sleep?
Nina Kimes · 6 min read
Every summer, the same chaos unfolds for vacation rental landlords across Europe. A family from Berlin lands in Lisbon and can't find the key lockbox. A couple in Mallorca messages at midnight asking how to work the air conditioning. A group booking in the Algarve needs an early check-in and has been waiting 48 hours for a reply. Meanwhile, the landlord — managing three properties, coordinating a cleaner, and trying to enjoy their own summer — is drowning in a backlog of unanswered messages. The properties are beautiful. The reviews, however, are starting to tell a different story. And the fix isn't a bigger team or a fancier property management system. For most European landlords, it starts with something already sitting on every traveller's phone: WhatsApp.
May 6, 2026
Why Your Small Business Needs a Facebook Business Account
Aria Singh · 3 min read
A Facebook Business Account — now managed through Meta Business Suite — is a dedicated hub that separates your professional presence from your personal profile. Where a personal account is for friends and family, a business account is built for growth: reaching new customers, running targeted ads, managing your brand, and understanding what's working. It's the difference between having a hobby page and running a real operation.
May 5, 2026
Serverless: Stop Worrying About Servers and Start Shipping Code
Emily Henderson · 3 min read
For years, scaling a web app meant provisioning servers, tweaking auto-scaling rules, and praying your capacity planning wasn’t wildly wrong. Then came serverless computing. Despite the name, servers still exist — but you never have to think about them. The cloud provider automatically spins up as many parallel instances of your function as needed, from zero to thousands, in milliseconds. So yes: a serverless app truly eliminates the worry of server scaling when traffic spikes. You don’t configure, patch, or monitor a single machine. That said, while the function layer scales infinitely, you still need to care about whether your database or external APIs can keep up. Serverless handles its part perfectly — the rest is up to your architecture.
May 4, 2026
How New AI Models Can Read a Million Tokens at Once: The Technology Behind Long Context Windows
Ben Larson · 3 min read
One of the most impressive recent breakthroughs in AI is the rise of large language models that can handle extremely long context windows—sometimes hundreds of thousands or even over a million tokens at once. In simple terms, this means you can give the model an enormous amount of information: a full book, a large codebase, hours of transcript, many research papers, or a giant bundle of business documents, and ask it to reason across all of it. This feels almost magical, but it is not magic. It is the result of several advances working together: smarter attention mechanisms, better memory management, improved training methods, new position-handling techniques, and serious infrastructure engineering.
May 3, 2026
The Price of a Message: Why SMS Spam Doesn't Scale Like Email
Lillian Kim · 3 min read
Email spam is everywhere, yet SMS spam feels more limited, more selective, and often less frequent. That difference is not an accident. Email was built to be open, cheap, and easy to send at massive scale. SMS was built around phone networks, billing systems, and stricter control over who gets to send what. Spammers still target text messages, but doing it at large scale is harder, riskier, and more expensive than flooding inboxes with junk mail.
May 2, 2026
Threading the Algorithm: Can AI Belong in Fashion Design?
Melissa Olson · 3 min read
Fashion has always lived between memory and invention. Designers look backward and forward at the same time: they study archives, street style, art, music, film, subcultures, and customer behavior, then transform those influences into something that feels new. That is why artificial intelligence is not as foreign to fashion as it may first seem. AI also learns from existing material. The difference is speed and scale. It can scan patterns, generate options, and organize information much faster than a human team. But fashion is not only about producing more ideas. It is about knowing which ideas matter. AI can help the fashion industry, but its best role is as a creative and strategic assistant, not as a replacement for designers.
May 1, 2026
How AI Is Reshaping Workflows, Not Eliminating Jobs
Dustin Collins · 3 min read
Work is not disappearing under AI; it is being rearranged. That shift is showing up in quiet, practical ways long before it becomes a dramatic headline. Teams now draft reports in minutes, customer support agents get suggested replies while chats are still live, analysts test ideas with machine help, and managers spend less time chasing routine updates. The big story is not that machines are taking over every task. The real story is that work is being split into parts, with some handed to software and others becoming more human, more strategic, and more tied to judgment. That change is reshaping workflows across industries and forcing a fresh look at what a job really is.
April 30, 2026
Why Infinite AI Memory Is Harder Than It Sounds
Dustin Collins · 3 min read
Everyone wants AI that never forgets, always knows the full backstory, and replies with the speed of a simple calculator. That wish sounds reasonable until you look at the trade-offs hidden behind every extra token, every saved conversation, and every attempt to pack a whole working life into one prompt. Long context feels powerful because it gives a model more to work with. Speed and cost matter because every added piece of context has a price. The result is a tension that sits behind many product decisions in AI today: people want infinite memory, but current systems still have to choose what to keep, what to skip, and how much latency they can afford.
April 29, 2026
Are We Raising a Generation of “Digital Slaves”?
Nina Kimes · 3 min read
The idea is unsettling: a generation growing up surrounded by screens, guided by invisible systems, and nudged by algorithms built by older generations. It’s easy to imagine a future that feels like The Matrix—where people lose control over their own choices. But reality is less extreme and more complex. We’re not creating a generation without agency, but we are shaping one that must learn to navigate systems specifically designed to capture and guide attention.
April 28, 2026
Why Traditional RAG Falls Short in Real-World AI Systems
Jessy Chan · 3 min read
Retrieval-augmented generation, or RAG, became popular because it gave AI systems a practical way to pull outside information into a response instead of relying only on what was baked into the model during training. That sounded like a clean fix for hallucinations and stale knowledge. In practice, traditional RAG often helps, but it also carries a set of weaknesses that show up the moment data gets messy, questions get complex, or business demands rise. A system can retrieve documents, attach them to a prompt, and still produce a weak answer. That gap between fetching information and producing a reliable result is where traditional RAG starts to show its limits.
April 27, 2026
Why U.S. Virtual Phone Numbers Are Often Cheaper Than Others
Elise Taylor · 3 min read
If you have ever shopped for a virtual number, one thing stands out quickly: a U.S. SMS number can appear almost free, while numbers in other countries can feel surprisingly expensive. That gap is real, and it is not random.
April 26, 2026
The Rising Cost of IPv4: How Cloud Providers Are Passing the Buck
Alicia Gopin · 3 min read
For most of the Internet’s history, an IPv4 address was essentially free. If you needed one, you asked your ISP or your cloud provider, and they handed it over—no line item, no monthly fee. That era is over. Today, public IPv4 addresses have become a scarce, tradeable commodity, and cloud providers are increasingly passing the cost directly to their customers. What was once a rounding error in your cloud bill is now a noticeable line item, and for startups, serverless workloads, and large-scale architectures, the math is starting to favor IPv6 in ways that few expected just a few years ago.