3-week intensive
Agentic
It's Still Early
8.1 billion people on Earth. Here is how they use AI, sorted by their most advanced interaction as of February 2026.
Each dot equals about 3.2 million people. 2,500 dots equal 8.1 billion humans.
12%
Only 12% of businesses use AI every day inside their operations. The other 88% leave the door open for you.
Sources: U.S. Census Bureau, Business Trends and Outlook Survey. NAR 2025 Technology Survey.
- Your competition is not here yetMost agents and brokerages in your market run zero AI systems. Every workflow you build today runs while they decide.
- Early adopters set the standardRogers calls early adopters the influencers. Clients and agents copy the people who move first.
- Systems compoundYour first workflow takes a week. Your fifth takes an afternoon. The gap between you and late adopters widens every month.
- Waiting costs more laterThe late majority adopts under pressure, on someone else's timeline, at a higher price.
Diffusion of Innovation
Rogers showed new ideas spread through five groups, in order. Each group waits on the one before.
Paid AI users make up 0.3% of the planet. Only 12% of businesses use AI daily. Rogers' innovator band holds 2.5%. If you pay for AI and build with agents, you stand at the front of the curve. Your market has not caught up yet.
6 AI Protocols.
each one builds on the lastThe Brain
An LLM reads and writes language. ChatGPT, Claude, and Gemini are LLMs. The model thinks, writes, and reasons. On its own, the model has no access to your tools, files, or calendar.
Output quality follows the context you give. A vague prompt returns a generic answer. A prompt loaded with your market, your client, and your goal returns work you use.
You heard two versions of 50 Cent's "God Gave Me Style." One original. One made with a generative AI voice. The question: which one are you understanding from?
Most people struggle to tell them apart. Generative AI now produces voice, text, images, and video close to the real thing. The tool is no longer the edge. Your context is.
Before your next prompt, give the model three facts: who you serve, which market you work, and the result you want.
The Executor
Function calling lets the model use outside tools to take action. The model decides which tool to call, sends the request, and reads the result.
MCP is the standard plug between an AI model and your apps. One connection per app. Once connected, the model reads and works inside each one.
- CRM
- Google Drive
- Calendar
- Slack
Claude received one request: "Can you give me a summary of my calendar for the entire month of October?" Claude searched the calendar, found 14 events, and returned a dated summary grouped by week.
Connect your calendar to Claude. Ask for next week's schedule with prep notes for each appointment. Start at zapier.com/mcp.
The Knowledgeable Brain
RAG gives the model a library. Before answering, the model retrieves facts from your data: documents, a database, your CRM, or stored memory. Answers come from your information, not general internet knowledge.
- Chat modelThe brain. Anthropic's Claude in the demo.
- MemoryThe recall. A Postgres chat memory stores past exchanges.
- ToolsThe hands. Microsoft Entra ID and Jira in the demo.
- TriggerA "Create User" form gets submitted.
- AI agentThe tools agent reads the form, checks memory, and calls its tools.
- DecisionIs the new user a manager?
- ActionYes: add to the Slack channel. No: update the Slack profile.
Built in n8n. The dashed box marks where the intelligence lives inside an ordinary automation.
List five documents you answer questions from every week. Scripts, FAQs, listing checklists, market stats. These become your knowledge base.
The Operator
A looping agent plans the job, takes a step, checks the result, and goes again until the job is done. You hand over an outcome, not a single prompt.
- PreplanningThe agent maps the steps before acting.
- MemoryThe agent carries context across steps and sessions.
Projects hold standing instructions and files the agent uses every time you work inside them.
Skills store a repeatable procedure. Write the process once. The agent runs the same steps on demand.
Pick one task you repeat weekly, such as listing descriptions. Build a Project for the task. Load your brand voice, three past examples, and your rules.
The Organization
A multi-agent system runs several specialized agents or models together. Each one owns a single job, like departments inside a company. The output of one becomes the input of the next.
Weavy's "Artistic Intelligence" canvas chains image, video, and language models as nodes. One photo set of a vacant Philadelphia condo became a staged interior, then an animated walkthrough.
- Create the subjectGenerate one consistent AI person.
- Give it characterWardrobe, props, personality. Same face every frame.
- Run the processConnected nodes generate each scene.
- UGC advertisingSelfie-style clips, the format social feeds reward.
- StorytellingThe subject lives in the staged condo. Reads by the window. Walks through the front door.
One set of listing photos turns into a staged, animated, story-driven ad campaign. No crew. No model. No vacant-room problem.
Agentic Workflows
An agentic workflow is a multi-step process where AI agents make decisions inside an automated flow. The workflow runs without you in the loop and hands you the result.
$7.55B to $199.05B
Projected growth from 2025 to 2034 at a 43.84% CAGR. Source: Precedence Research.
The System
- Localize intelligenceKnow your market better than anyone.
- Geographic databaseOwn the data for your farm area.
- Listing prospectingFind sellers before they list.
- Follow up & T.O.M.Stay top of mind with every lead.
- RecruitingAttract agents with systems, not promises.
- Scaling & growthGrow output without growing hours.
- LLM
- Content agent
- AI voice agent
- Task agent
- CRM
- Interactive video
- Workflow automation
Software sits on a shelf. A tool gets assigned to a protocol and does a job. Pick the protocol first, then the tool.
Key Terms
learn these cold- LLM
- Large language model. The AI brain behind ChatGPT, Claude, and Gemini.
- Context
- The facts, examples, and goals you give the model. More relevant context, better output.
- Generative AI
- AI producing new text, images, voice, or video.
- Function Calling
- The model's ability to call an outside tool to take action.
- MCP
- Model Context Protocol. The standard connector between an AI model and your apps.
- RAG
- Retrieval-Augmented Generation. The model pulls facts from your data before answering.
- Agent Memory
- Stored context an agent recalls across steps and sessions.
- Agentic Loop
- Plan, act, check, repeat until the goal is met.
- Project
- A workspace with standing instructions and files the AI uses every time.
- Skill
- A saved, repeatable procedure an agent runs on demand.
- Multi-Agent System
- Several specialized agents working together, each with one job.
- UGC
- User-generated content. Selfie-style, casual video built for social feeds.
- Agentic Workflow
- An automated process where AI agents make decisions between steps.
- CAGR
- Compound annual growth rate. Average yearly growth over a period.
- SOP
- Standard operating procedure. A written, repeatable way of doing a job.
- Diffusion of Innovation
- Everett Rogers' model of how new ideas spread through five adopter groups.
Self Check
Answer out loud first. Then tap to reveal.
01What share of the world has never used AI?Tap to reveal
02What share of businesses use AI daily in their operations?Tap to reveal
03Name Rogers' five adopter groups in order.Tap to reveal
04Which protocol is "The Brain," and what controls its output quality?Tap to reveal
05What does MCP stand for, and what does MCP do?Tap to reveal
06How does a tool-use agent differ from a plain LLM?Tap to reveal
07What does RAG add to a model?Tap to reveal
08Name the three parts of the AI agent node in the n8n demo.Tap to reveal
09What two ingredients power an agentic loop?Tap to reveal
10List the five steps of the multi-agent UGC ad process.Tap to reveal
11How big is the agentic AI market projected to be by 2034?Tap to reveal
12Complete the formula: Protocols + Tools = ?Tap to reveal
13Name the six standard operating procedures in the system.Tap to reveal
Resources
tools from the deck- Private WhatsApp GroupStay engaged through the 3-week intensive.
- Zapier MCPProtocol 2. Connect AI to your apps.
- n8nProtocol 3. Build intelligent automations.
- HiggsfieldProtocol 5. Generative image and video.
The Aıgent Lab®
Build the AI team your real estate business needs in 30 days.
Agents lose deals in the gaps. The lead nobody called back in time. The expired listing you never reached. The past client who forgot your name.
The Aigent Lab gives you a six-protocol AI system to close those gaps, built around your market and your voice. Each protocol owns one job in your business. Each one feeds the next. You set the direction. The system does the repetitive work and hands you the decisions.
If you can send an email, you can do this.
- Beginner-friendly courses & trainings
- Weekly live strategy session
- Live Q&A sessions
- Direct access to the trainers
- Done-for-you services available