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You're in the middle of a strategy session. Someone pitches a feature. Your co-founder asks the killer question: "Who else is doing this?"
In a traditional company, this triggers a cascade: someone takes an action item, spends three hours Googling, compiles a deck, and schedules a follow-up meeting next week. By then, the momentum is dead and the decision window has closed.
In the AI Board Room, Atlas answers in 30 seconds. With sources. While you're still talking.
This is the vision behind the board-room-web MCP—and it's fundamentally changing how solo founders and small teams compete with enterprises that have dedicated market research departments.
Let's get technical for a moment, because the difference matters.
When you ask a standard LLM "Who are the competitors to [your product]?", you get a response based on training data that's months old, prone to hallucination, and utterly useless for real-time decision-making. The model is guessing based on patterns, not facts.
Model Context Protocol (MCP) changes the game entirely. It's a standardized interface that lets AI agents—like Atlas—access live tools and data sources directly. Think of it as giving your AI Chief of Staff actual hands to use actual tools, rather than just a really good memory.
The board-room-web MCP specifically gives Atlas the ability to:
This isn't a chatbot searching the web. This is an agent with a job description, using professional tools to deliver professional results.
Here's how it actually works in a real Board Room session:
You: "I'm thinking about adding collaborative editing to our product. Who else is doing this well?"
Atlas (via board-room-web MCP):
Atlas: "Based on current market analysis, the leading players in collaborative editing for [your vertical] are Notion (team wikis), Figma (design), and Miro (whiteboarding). Notion has 30M users and recently added real-time cursors. Figma's multiplayer is considered gold standard with 200ms latency. Three startups launched in this space in Q4 2024: [names with links]. Would you like me to dig deeper into any specific competitor's approach?"
Notice what just happened: You didn't break flow. You didn't assign homework. You didn't lose momentum. The meeting continued with everyone now informed.
The AI Board Room isn't just one clever prompt. It's a custom deterministic backbone—a 9-step TypeScript pipeline—that ensures reliability when it counts.
Atlas loads competitive intelligence capabilities via SKILL.md files—modular expertise packages that define how to approach market research, what sources to prioritize, and how to present findings. This isn't general-purpose AI; it's specialized intelligence with a job description.
The Model Context Protocol provides the actual connection to web search, APIs, and data sources. The board-room-web MCP is one of several tools Atlas can invoke. Others might include:
board-room-data for internal analyticsboard-room-docs for your company knowledge baseboard-room-social for social listeningFor complex research, Atlas can delegate to specialized agents via Agent-to-Agent (A2A) protocol. "Cipher, I need a technical deep-dive on Figma's multiplayer architecture" happens automatically when Atlas determines the query needs specialist attention.
Before presenting findings, a Critic Agent reviews the research for logical consistency, source quality, and relevance. This is your built-in fact-checker, ensuring you're not making decisions on hallucinated competitors.
At the end of the meeting, Action Extraction automatically creates tasks like "Monitor Notion's collaborative features" or "Benchmark our latency against Figma" without anyone having to type a to-do list.
Solo founders operate in a perpetual information asymmetry. Enterprises have:
You have Google and hope.
The AI Board Room closes this gap completely.
You're not just getting faster access to information. You're getting enterprise-grade competitive intelligence infrastructure that would cost six figures to build with humans—and you're getting it in the flow of work, not as a separate research project.
This is what I mean by "slightly provocative": The solo founder with Atlas has better real-time market intelligence than a Fortune 500 company with a research department.
Why? Because Atlas is in your meetings. Atlas has context. Atlas doesn't need to be briefed. And Atlas delivers answers while the question still matters.
Let me be direct: If you're still doing competitive research the old way—bookmarking competitor sites, reading industry reports quarterly, asking your network for intros—you're operating at 20th-century speed in a 21st-century market.
The companies that will dominate the next decade aren't the ones with the biggest research budgets. They're the ones with the fastest decision loops.
Real-time competitive intelligence compresses decision cycles from weeks to seconds.
That feature decision you were going to "circle back on after research"? Make it now, informed. That pivot you were nervous about because "we don't know the competitive landscape"? Atlas knows. That pricing strategy you were guessing at? Stop guessing.
This isn't about working harder. It's about having an unfair advantage that was previously only available to companies with 8-figure budgets.
Here's the honest truth: You don't need to understand how MCP works to use it. You don't need to configure Skills or set up A2A protocols.
You start a Board Room session at JobInterview.live. You ask Atlas a question. Atlas uses whatever tools—including the board-room-web MCP—are needed to answer it.
The technology is invisible. The results are immediate.
For technical founders who want to go deeper: The AI Board Room is built on open protocols. MCP is an open standard. The Skills system is extensible. You can add custom MCPs for your industry-specific data sources. But you don't have to.
As MCP integration rolls out, the default configuration will give you enterprise-level competitive intelligence directly in the flow of your Board Room sessions.
William Gibson was right. The future exists today—but most solo founders are still using yesterday's tools.
The AI Board Room with Atlas and the board-room-web MCP isn't coming. It's here. The question is whether you're going to keep operating with an information disadvantage, or whether you're going to arm yourself with the same intelligence capabilities as companies 100x your size.
Competitive intelligence used to be a luxury. Now it's table stakes. The difference is that you can finally afford the table.
Stop wondering who else is doing what you're thinking about. Stop losing momentum to research homework. Stop making decisions in an information vacuum.
Try the AI Board Room at JobInterview.live and ask Atlas about your competitive landscape. Watch what happens when "Who else is doing this?" gets answered before the next sentence leaves your mouth.
The meeting where you make better decisions faster is the meeting where you start pulling ahead.
The technology is ready. The question is: Are you?
