A chat agent with one specific job.
A CoPilot guides your client through a process, applies your methodology, extracts structured data along the way, and produces a real deliverable when the conversation is done.
Not a chatbot. An agent with a finish line.
A chatbot answers questions and waits for the next one. A CoPilot has a job. It knows what it's trying to accomplish, asks the right next question, applies your decision logic, and produces a structured deliverable when the conversation has gathered enough context.
The difference shows up immediately in how the conversation feels. A chatbot lets the user wander. A CoPilot drives toward an outcome. Your client doesn't have to know what to ask. The CoPilot already knows what to ask them.
This is what makes CoPilots commercially useful. They aren't a place to play with AI. They're a guided process built into a chat interface, with a specific deliverable at the end your client would normally pay for on a call.
Q2 Quarterly Plan
ArtifactWhat's actually running underneath.
A CoPilot isn't a single prompt. It's a workflow with multiple AI runs working together. Here's what's happening every time your client sends a message.
Identity Prompt
This is where you define who the CoPilot is. The voice. The methodology it applies. The decision logic it follows. The Identity Prompt grounds every conversation in your framework, not the model's defaults. It's the difference between "AI assistant" and "your methodology, in chat form."
Subagent Nodes
Behind the conversation, smaller AI runs handle specific jobs. A classification node decides what the user is asking. A research node pulls relevant context from the Business Brain. An extraction node pulls structured data from the conversation. These subagents run in parallel or in sequence depending on what the conversation needs. The user just sees a clean reply. The work happens underneath.
Objective Tracking
Every CoPilot has objectives. A diagnostic CoPilot needs to surface the real problem. An intake CoPilot needs to qualify the lead. A coaching CoPilot needs to walk the client through a methodology. Objective tracking watches the conversation and knows whether the goal has been reached. When it has, the CoPilot knows it's done.
The Artifact
When objectives are met, the CoPilot produces a structured Artifact. Editable, downloadable, formatted through a template you control. The Artifact is the real product. The conversation is just how the user gets there.
When the conversation is done, your stack takes over.
Every CoPilot can fire a webhook when its objectives are met. The extracted data from the conversation flows out to whatever system you connect: a CRM, an email automation, a GHL workflow, a Zapier action, a custom API. The conversation surfaces the structured data. The webhook delivers it where it needs to go.
This is what makes CoPilots a real piece of infrastructure rather than a chat widget. A qualification CoPilot doesn't just qualify the lead. It hands the qualified lead to your CRM with the extracted fields populated. A diagnostic CoPilot doesn't just produce a diagnosis. It triggers the next step in your client delivery sequence automatically.
The Goal Architect, built on Michael Hyatt's Full Focus System.
The Goal Architect is a CoPilot built around the Full Focus System, the SMARTER Goals framework, and the Double Win methodology. It walks the end user through a quarterly goal-setting conversation. Up to three goals, stress-tested against the SMARTER criteria, applied to their specific business and life context.
The conversation isn't open-ended. The CoPilot knows what it's trying to accomplish in each session. It asks the right next question. It pushes back when a goal is too vague or too safe. It extracts the structured goal data continuously and produces a polished Full Focus quarterly plan as the Artifact at the end.
The end user logs in, has a thirty-minute conversation, and walks away with the same plan a coach would build over multiple sessions. The methodology stayed intact. The voice stayed coaching. The deliverable looks like something the user would have paid five hundred dollars for on a call. The coach stayed invisible. The CoPilot is the product.
CoPilot or SmartForm? How to decide.
Build a SmartForm when...
- The deliverable depends on a fixed set of inputs you can collect upfront
- The user's situation is bounded enough that a guided form covers it
- The output should be a structured document, plan, or report
- The methodology produces the same shape of deliverable for every user
Build a CoPilot when...
- The conversation needs to adapt based on what the user reveals
- The methodology depends on the right next question, not a fixed input set
- The job involves diagnosis, qualification, or guided process
- You want to extract data from a conversation and trigger downstream actions
You can also link them. A SmartForm can hand off to a CoPilot for follow-up. A CoPilot can produce an Artifact you continue to refine through chat.
Two ways to start.
You don't have to learn workflow logic to build a CoPilot. Most users start with the Agent Builder Wizard and refine from there.
Start with the Wizard
Tell the Wizard what your CoPilot should do. It generates the identity prompt, conversation starters, objectives, and a draft workflow. Open the manual builder when you want to refine the logic, add subagent nodes, or wire webhooks.
Build it manually
Start at the Builder, pick CoPilot as the type, and configure each piece directly. Identity prompt, conversation starters, Business Brain knowledge, objectives, extraction nodes, webhook triggers, Artifact templates. The manual builder gives you full control.
Onboarding call included on every plan.
Start Free TrialThe conversation that ends in a deliverable.
Start your 7-day free trial, build your first CoPilot with the Wizard, and have a working agent live before the trial ends.