New AI Agent Studio (what it does + how to use it)

HighLevel’s AI Agent Studio is a visual, drag-and-drop builder for intelligent automations (agents + tools + logic). It consolidates AI chat, web/KB search, API calls, routing, and content generation into one place—so you can ship faster with fewer moving parts.

What it is (in one line)

A visual platform to design multi-step AI workflows (no code). Build “one brain” that routes by intent, pulls from your knowledge base, hits external APIs, and takes action—without Zapier spaghetti.

Why it matters

Consolidates your stack: AI chat, web/KB search, APIs, content gen, inputs, routing—in one UI
Fewer failures: Native HL integrations + visual flows = less brittle maintenance
Scales your “one brain” strategy: Chain specialized agents and route by detected intent

Where to find it

HighLevel → AI → Agent Studio (alongside Voice AI and Conversational AI)

Core building blocks (plain English)

Agent Node (the brain): Add your system prompt, pick a model, pass variables (global/input/runtime).
Sequential Node: Force “do A → then B → then C.”
AI Router Node: Branch by conditions/intents (e.g., missed call, review, financing, support).
End Node: Clean stop to avoid infinite loops.

Knowledge & Search

Search the Web: Real-time lookups for fresh answers.
Search Knowledge Base: Pull accurate, company-specific info from your docs.

Power Integrations

MCP Server: Connect external tool ecosystems via Model Context Protocol.
API Call: Native HTTP node to push/pull data from any third-party (CRMs, maps, finance, etc.).

Content Generation

Text: Draft replies, emails, summaries, captions.
Audio: Turn text prompts into voice clips (announcements, voicemail drops).
Image: Create on-brand visuals on demand.
Video: Generate short videos (supports VO models; choose 16:9 or 9:16, 720/1080p).

Input & Validation

Email Address: Capture + validate.
Phone Number: Capture + standardize.
Single Choice: Pre-set options for clean routing.
Text Input: Free-form details with min/max length.

Real-world use cases (plug-and-play ideas)

Missed-Call RecoveryCapture name/phone/address → detect intent → send scheduling link or book → push to CRM → notify team → tag contact → End.
Quote & Intake FlowsValidate email/phone → answer FAQs from KB → create opportunity via API → schedule → tag & track.
Reviews & ReactivationSingle Choice sentiment → 5★ route to review link; <4★ route to human + ticket + follow-up.
Content OpsText/Image/Video nodes produce blog snippets, GBP posts, and short videos → publish via Social Planner.
Data Enrichment & SyncAPI node pulls maps/distance/finance tools; MCP adds specialized tools—no glue code spaghetti.

Build your first agent (10-minute quick start)

Create Agent: Clear system prompt (role, tone, guardrails) + select model.
Add Inputs: Phone/Email/Text nodes to capture validated contact info and project details.
Plug Knowledge: Add Search Knowledge Base (FAQs, warranty, policies).
Route by Intent: AI Router branches (e.g., Repair, Replace, Billing, Reviews, Support).
Take Actions:
End Cleanly: End Node on every branch.
Test in Sandbox: Verify variables, outputs, edge cases, error messages.
Stage → Deploy: Go live once tags, calendars, and notifications are confirmed.

Best practices (so it stays robust)

Centralize variables: Put API keys + brand constants in global variables.
Short prompts, strong guardrails: Keep instructions crisp; use KB for long facts.
Deterministic routing: Name intents clearly and log them for analytics.
Validate inputs: Email/Phone nodes improve deliverability and downstream success.
Fail-safes: Always include human-handoff + End Node per branch.
Observability: Tag every branch (e.g., Tradeshow_Lead, Review_Handoff) to power reporting.

What to look for in the UI

Canvas builder with draggable nodes
Right-panel config per node (prompt, variables, model, outputs)
Test console (inspect variable values and outputs)
Knowledge Base picker + Web Search fields where relevant

If you want a simple first win, start with Missed-Call Recovery or a Review Router. Build once, clone often, and let the AI Router steer everything by intent.

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