We don't advise on AI. We build it, deploy it, and hold it accountable.

Intuitive Context is a founder-led consulting and build practice for companies that need AI to improve the business, not decorate the deck. Bring the most audacious ideas; we turn them into systems that can be tested, shipped, and held accountable.

Why This Exists

High-value industries still run on email threads, spreadsheets, phone calls, human gatekeepers, and tribal knowledge. Those systems collapse under scale. We replace fragile coordination with context-rich infrastructure that can hold up in production.

Consulting and build work

Intuitive Context handles AI strategy, system architecture, agent orchestration, workflow automation, platform planning, and production implementation when the work does not fit a neat productized package.

• AI strategy: Identify where AI improves throughput, margin, decision quality, or operating leverage.
• System architecture: Design the workflow, data, trust, and integration patterns before implementation.
• Agent orchestration: Build production AI workflows that can route, reason, verify, and escalate under real constraints.
• Prototype to production: Move from proof of concept to shipped system without losing the business purpose along the way.

This is not an AI pivot. It is a 30-year pattern.

The work has always been the same: take a complex, high-value market and make it legible enough to trust, transact, operate, and scale.

• 1995 Trust: Made travel booking feel safe before buyers trusted the web.
• 2001 Scale: Built transaction infrastructure in the Hotels.com and Expedia orbit when the category got serious.
• 2015–2022 Judgment: Turned strategy into operating reality across partner ventures.
• Now Accountability: Building AI systems that can be measured, trusted, and improved.

The past only matters if it changes the next decision

Intuitive Context uses that builder arc to keep AI practical: not advice alone, not AI theater, and not product-only when the problem needs deeper consulting.

• Not advice alone: Strategy turns into architecture, product surfaces, agents, and build plans.
• Not AI theater: Every system needs a job, a trust model, and proof that it improved the business.
• Not product-only: Mythos, Aegis, and Archon are focused starts; custom consulting goes deeper when the risk is messier.

Applied Research

We don’t just integrate AI tools — we understand them at the infrastructure level. When a gap exists between published research and production deployments, we build the bridge. Open-source tooling backed by empirical measurement, not vendor claims.

Focused ways to start

Mythos, Aegis, and Archon turn recurring consulting patterns into clear entry points. Mythos shows whether ChatGPT, Claude, and Gemini recommend, ignore, or misdescribe a company. Aegis rebuilds outdated, underperforming, or compromised WordPress/CMS sites without losing rankings or AI-readable authority. Archon pressure-tests the business before a platform build starts spending runway. SearchAtlas resources explain how to use SearchAtlas as the SEO, OTTO, reporting, and LLM Visibility tool layer while Intuitive Context handles positioning, proof, authority architecture, and implementation.

Insights & Thought Leadership

• What Makes a Website AI-Compatible? — AI-compatible does not mean chasing a trendy technology stack. It means your official site is easier for people, search engines, and AI systems to understand, update, cite, and trust.
• Make AI Accountable: Your Official Site Has to Become the Source of Truth — If AI systems are going to explain your company, your official site has to give them something clear, current, and defensible to work from.
• The Seven Revenue Streams Every Vertical Marketplace Should Design For — Pure commission arbitrage is vulnerable. The highest-value marketplaces blend take-rate with workflow SaaS, attach revenue, and supplier tools. Here are the seven streams that move valuation from agency multiples to platform multiples.
• Why We Architect the Business Before We Write the Code — Most platform builds fail not because the code is bad, but because the business architecture was never designed. IC does not just build software. It architects the business machinery around the software.
• Introducing Aegis: Rebuild Your WordPress Site Without Losing Authority — Most WordPress rebuilds destroy the search equity the old site earned. Aegis is a clean-room authority rebuild that preserves URLs, redirects, structured data, and AI authority signals while migrating to a static React platform.
• We audited ourselves. Mythos scored 8 out of 100. — Mythos is a productized AI visibility audit. So when we wondered whether we practice what we preach, we ran the audit on ourselves. The score came back 8/100 with 0% share of voice. Here is what we found and what we are fixing first.
• What is Answer Engine Optimization (AEO)? — AEO is the discipline of getting your brand cited by AI answer engines — ChatGPT, Claude, Gemini — when buyers ask them questions in your category. It is what SEO becomes when the search result is one sentence, not ten blue links.
• How to rank in ChatGPT, Claude, and Gemini in 2026 — A practical guide: the five moves that actually change whether an AI answer engine cites your brand by name. In priority order, with what to expect on timeline.
• The 20 queries inside a Mythos AEO audit — A look at exactly what gets tested when Mythos runs your audit. Category queries, direct queries, and competitor-intent queries — and why each one matters.
• Why AI engines hallucinate your brand — and how to stop it — When an AI engine invents a founder name or a product feature, that is not random noise. It is a specific signal that your brand's entity surface is too thin for the engine to retrieve accurately. Here is what fills that gap.
• How Legal-Tech Products Show Up in AI Answer Engines — We ran Intakit through ChatGPT, Claude, and Gemini using Mythos. The score was 22/100 with 6% share of voice. The more important finding was the competitor the engines surfaced that Intakit was not even tracking closely enough.
• Applied Research: Finding the Free Compression in Any AI Model — Every AI model has hundreds of small decision-makers inside it. Some of them stopped doing useful work — but they're still using memory. We built a tool that finds them in 4 minutes on a laptop. Open source. No GPU required.
• Navigating the Generative AI Landscape in 2026 — The AI revolution is maturing. Here's what businesses need to know to stay competitive in the year of context-driven intelligence.
• The Power of Contextual Intelligence — Why raw data isn't enough anymore, and how context drives smarter business decisions in an increasingly complex world.
• Case Study: Launching the ChillerBody Revolution — How IntuitiveContext orchestrated the digital launch of a revolutionary personal cooling product, connecting consumer needs with industrial safety and investor potential.

Ready to make AI accountable?

Start with a focused productized offer, or bring the messy version and begin a consulting conversation.