Stripe Webhook

Payment Failed

Salesforce Record

Pipeline Inject

Slack Protocol

Alert Security Ops

LLM Evaluation

Model: gpt-4-turbo

AI agents and workflows
you can see and control

Build visually, go deep with code, connect to anything. Every step of your agents' reasoning, traceable on a visual canvas. Deploy logic-guided automated operations on your infrastructure.

Get Started View Features

Plug AI into your own data & all integrations

Use pre-built nodes for common apps like Meta and Salesforce. Custom API connections for everything else.

Google Ads API

Slack

Salesforce

OpenAI API

Hubspot

Pinecone Vector

Stripe Webhooks

Meta Graph API

Code when you need it.
UI when you don't.

JavaScript & Python Execution

Other tools limit you to surface-level triggers. Write raw JavaScript or Python anywhere in your workflow. If you can code it, we can automate it natively.
Observe Every Variable

See JSON inputs and outputs side-by-side with execution nodes. Avoid endless debugging loops with visual trace logs of the AI's exact reasoning path.
Test Before Customers Do

Re-run single functional steps, mock API payload data, and build unit tests directly into the canvas. Never break production pipelines again.

1 const rawData = $getInputData();

2 let processedEntities = [];

4 for (const item of rawData) {

5 if (item.json.confidence_score > 0.85) {

// Extract intent via local Regex or logic

6 let cleanIntent = item.json.query.trim().toLowerCase();

7 processedEntities.push({

8 verified: true,

9 intent: cleanIntent,

10 timestamp: new Date().toISOString()

11 });

12 }

13 }

15 return processedEntities;

Deploy AI Chatbot Automation & Agents

Connect any model. Inspect every decision. Keep humans in the loop.

RAG Logic Systems

Prevent AI hallucinations by forcing large language models to query local vector databases (Qdrant, Pinecone) before generating responses. Total data privacy coupled with absolute brand accuracy.

Pipeline Execution Log

Support Ticket

Embed Text

Vector Search

Auto-Reply

IT Operations

Automate active directory changes, employee onboarding/offboarding, and asset provisioning by bridging Jira, Google Workspace, and Okta seamlessly through scheduled cron triggers.

Jira Ticket

Okta Auth

Provision Account

Security Ops

Automatically ingest threat logs from your SIEM. Have an AI agent pre-enrich the data from VirusTotal or Crowdstrike before creating an escalated summary ticket for human analysts.

SIEM Alert

Fetch IP Data

Human Review

Lead Automation

Eliminate CRM data silos. When a new lead hits Salesforce, instantly scrape their company website using an AI Agent to append firmographic data before alerting the rep via Slack.

New Lead

Scrape Domain

Update CRM

Reliable. Scalable. Secure.

Deploy on your infrastructure or via our isolated cloud environment. Push automations to production with the DevOps experience enterprise teams demand. Our performance marketing framework lets you scale algorithmic spending without losing architectural control.

Security & Control

Local LLM options, Role-Based Access Control (RBAC), and encrypted secret stores for Meta/Google Ads API tokens.

Observability

Full visual audit logs streamed directly to your Slack. Monitor dynamic CPC adjustments and AI spending decisions in real-time.

DevOps Experience

Git-based version control for your logic trees. Easily rollback automation updates, test in isolated environments, and diff workflows.

AI Governance

Built-in guardrails and mandatory Human-in-the-Loop approval nodes before algorithmic ad spend scaling executes.

Cost Efficiency

Track LLM token usage and API execution costs. Calculate exact ROI by attributing automated workflows directly to closed pipeline revenue.

Infinite Scalability

Run 1,000+ concurrent multi-channel optimizations without rate-limit breaking. Built-in retry logic ensures zero downtime during traffic spikes.

Architecture Q&A

What makes this architecture better than simple Zaps?

AI workflow automation offers complete visual transparency over data payloads. More importantly, you can drop raw JS/Python blocks directly into the execution path without leaving the platform. It's built for enterprise process scaling, not just lightweight tasks.

Can we deploy these AI Agents completely offline or On-Prem?

Yes. The entire node architecture can be deployed via Docker on your own AWS/GCP servers or bare metal. Combined with local LLM deployments, you retain 100% control over the entire data pipeline without ever bouncing off restricted third-party servers.

How do you integrate with Human approvals?

We do not give generative models unchecked access to critical systems. We use native Human-in-the-Loop nodes. The AI can draft a response or query a database, but the pipeline pauses and pings Slack/Webhooks for human validation before executing any external action.