Why MCP Stopped Making Sense for Most Apps
The Model Context Protocol promised universal LLM tool integration. Then developers hit the context wall. Here's what went wrong and what's replacing it.
Read moreInstead of generic AI chatbots, we create mobile apps where friendly virtual experts guide users through challenges using expertly crafted, pre-defined conversations.
We use sophisticated prompt engineering to extract deep knowledge from AI models, then present it through button-based interfaces with personable virtual experts who have faces, backgrounds, and personalities.
Ad-hoc AI has its place, but it's not always the best solution for everyday users
Most users don't have the skills or time to craft effective prompts that extract truly valuable insights from AI
In today's fast-paced world, many users prefer pushing buttons and browsing rather than thinking up sentences to type
Voice assistants are great, but you can't use them on a plane, in a waiting room, or watching TV with family
Thousands ask ChatGPT for "good side hustles" daily, getting the same twenty suggestions while missing valuable niche opportunities
AI often assumes the most common circumstances, rarely asking the right follow-up questions to uncover truly customized solutions
Our virtual experts cover the foundational research, allowing you to reserve custom AI queries for only your most unique questions.
Ask ChatGPT "How do I cook a steak?" and you'll likely get the most common, middle-of-the-road suggestions: prep the steak, sear it, finish and baste, rest before eating.
It rarely asks what kind of stove you have, the thickness and cut of the meat, the occasion, etc. It just assumes the most common circumstances. Most people don't know to prompt more specifically, and AI models tend to "hide" 99% of what they actually know about how to cook the best steak.
We pre-extracted hundreds of ways to cook steak from the deepest corners of AI models using sophisticated prompt engineering. Then we present friendly virtual experts.
A fancy restaurant chef, a diner line cook, a frugal home cook - each walking you through the topic with personalized language. Just swipe to find the coach that suits you best, and push buttons to uncover options you might not even have thought about, such as sous vide cooking.
When you still have questions after the guided chat, only then do we query AI ad-hoc
But now with full context from your conversation, responses are far more customized and effective
Button-based interface requires no prompt engineering skills
We extract knowledge from models during off-peak hours to serve later, reducing strain on data centers
Sophisticated prompts uncover rare insights from deep in AI models
Virtual experts with personalities, faces, and backgrounds make learning engaging
We've already created several apps demonstrating this innovative approach
Navigate the U.S. healthcare landscape with limited resources. Understand all options and programs available to low-income individuals.
Solve Windows 11 problems with expert virtual technicians who guide you through troubleshooting step-by-step.
Find a business idea or side hustle suited to your personal situation, then get step-by-step guidance to get started.
Explore our full portfolio of virtual expert apps covering diverse topics and use cases.
Explore our thoughts on AI, mobile apps, and innovative user experiences
The Model Context Protocol promised universal LLM tool integration. Then developers hit the context wall. Here's what went wrong and what's replacing it.
Read moreLarge context windows are (little white) lies. Here's how to architect your code, structure your prompts, choose your tools, and even pick your programming language to maximize what you can accomplish within the brutal reality of effective token limits.
Read moreWith AI writing over 90% of boilerplate code, the software developer's job has fundamentally changed. This article explores why the remaining 10%—architecture, context management, and organization—is the most difficult, high-leverage work that AI can't yet touch.
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