Feature
Meet Intelligence: The AI Assistant Trained on Your Frameworks
Intelligence is the AI assistant inside Client Intelligence. It reasons from your Frameworks and works within isolated Workspaces to generate personalized, on-methodology outputs for every client.
No long-term contracts. Your IP stays yours.
Intelligence is the AI assistant at the center of Client Intelligence, but it is fundamentally different from general AI assistants like ChatGPT or Claude in one critical way: it knows your methodology. When you interact with Intelligence in any client Workspace, you are not talking to a generic assistant applying its best guess at relevant Frameworks. You are talking to an assistant that has your Account Brain in context, your Frameworks, your methodology, your quality standards, along with that specific client's full history and data.
This combination produces qualitatively different outputs. Instead of "here are five general recommendations for improving retention," Intelligence produces "based on your SaaS retention Framework and Client A's specific Q3 churn data, here are three specific interventions, ranked by your prioritization criteria." That specificity comes from having your methodology and the client's context simultaneously in scope.
Intelligence operates in Executive Mode by default, running every message through Claude Opus to ensure the highest quality reasoning. This is not a setting you choose. It is the baseline. Every output reflects the most capable AI reasoning available, grounded in your Frameworks and your client's specific situation.
Intelligence also connects to Deep Research via Perplexity integration, giving it access to current information when your work requires external research. And it connects to your existing tools: Google Drive, Notion, Slack, GitHub, Zoom, Gmail, and Google Calendar. Context from the tools you already use flows into Workspaces without requiring manual data entry.
The key architectural distinction is that Intelligence is always Workspace-scoped. When you are in Client A's Workspace, Intelligence has Client A's data in scope. When you switch to Client B's Workspace, it has Client B's data. The Account Brain is always in scope regardless of which Workspace you are in. This two-layer context, your methodology plus client specifics, is what makes Intelligence genuinely useful rather than generically capable.
What This Means in Practice
Methodology-grounded responses
Every output from Intelligence starts from your Account Brain Frameworks, not generic AI training.
Executive Mode pipeline
Every message runs through Claude Opus by default. The highest quality AI reasoning is the baseline, not an upgrade.
Deep Research integration
Perplexity integration gives Intelligence access to current external information when your work requires research beyond client context.
Native tool integrations
Connect Google Drive, Notion, Slack, GitHub, Zoom, Gmail, and Google Calendar. Context from your existing tools flows into Workspaces automatically.
Workspace-scoped client context
Intelligence has access to only the current client's data and history. No cross-client contamination at any point.
Real Results
The Deliverable That Sounded Like Her
Priya asked Intelligence to draft a strategic recommendation for a client. When she read the output, her first reaction was "this sounds like something I wrote." She had not expected that.
Outcome
The Framework encoding in her Account Brain had given Intelligence her analytical perspective. The output needed minor edits, not a full rewrite. She shared it with the client within 20 minutes of the initial request.
The Pre-Meeting Intelligence Brief
Before a high-stakes client presentation, Jake asked Intelligence to surface the key decisions from their last three sessions and prepare a "state of engagement" summary.
Outcome
Intelligence produced a complete briefing in three minutes. Jake arrived at the presentation more prepared than he had ever been without the usual two hours of manual review.
The Research Synthesis
A client asked Marcus for an analysis of competitive dynamics in their market. Normally this took a half-day of research and synthesis.
Outcome
Marcus directed Intelligence to research and synthesize using his competitive analysis Framework and Deep Research. In 45 minutes he had a structured analysis grounded in his Framework applied to current market data. He refined it in 20 minutes and delivered.
Frequently Asked Questions
What model does Intelligence use?
Intelligence runs in Executive Mode by default, meaning every message is processed through Claude Opus. This is not an optional upgrade. It is the baseline quality standard built into the platform.
What integrations does Intelligence connect to?
Google Drive, Notion, Slack, GitHub, Zoom, Gmail, and Google Calendar. Intelligence can pull context from these tools into Workspaces so your work is grounded in current, real data from the systems you already use.
How does Deep Research work?
Deep Research is powered by Perplexity integration. When you ask Intelligence to research something beyond client context, it pulls current, sourced information from the web and incorporates it into the output alongside your Frameworks and client data.
What is the difference between Intelligence and using ChatGPT with a system prompt?
A system prompt is a one-conversation instruction. Intelligence has your Account Brain (permanent, updating methodology) and client Workspace data (persistent, growing client history) in context across every interaction. It is a persistent, two-layer context system rather than a per-session prompt.
See It In Action
Experience per-client AI memory, framework encoding, and isolated workspaces in your own practice. No long-term contracts.
Your IP stays yours