Agentθ · For D2C brands on Shopify, WooCommerce & custom stores

Build AI agents that work
predictably in prod.

Agentθ gives D2C brands the power to build, deploy, and manage AI agents that connect to your entire commerce stack. Visual workflow builder, 500+ integrations, human-in-the-loop guardrails, and pre-defined logic - so your agents don't fail.

Agentθ Workflow
Active
Customer Query
Trigger
AI Classifier
GPT-4
Route to Agent
Decision
Execute Action
Active

Build, connect, and deploy with confidence

Visual Agent Builder

Design AI agents visually with drag-and-drop. Connect AI models, business logic, and your D2C tools in a single canvas. No code required to start - full code access when you need it.

500+ Integrations

Connect to Shopify, WooCommerce, WhatsApp, Razorpay, Shiprocket, Klaviyo, and 500+ tools out of the box. Custom API connectors for anything else. Your agents work across your entire stack.

Human-in-the-Loop Guardrails

AI agents that know their limits. Set confidence thresholds, escalation rules, and approval flows. When an agent isn't sure, it asks a human - not the customer. Pre-defined logic ensures predictable behavior.

From idea to production in minutes

1

Design Your Agent

Use the visual builder to define your agent's purpose, connect AI models (GPT, Claude, Gemini), and set decision boundaries.

2

Connect Your Stack

Plug in your Shopify store, payment gateways, shipping providers, CRM, and communication channels in minutes.

3

Deploy with Confidence

Test in sandbox, set guardrails, and deploy. Monitor agent decisions in real-time with full audit trails.

AI agents that deliver results

500+
Integrations
60%
Queries Automated
< 2s
Response Time
99.9%
Uptime

Four agents working 24/7, without you

01

Cart Recovery Agent

Automatically detects abandoned carts, crafts personalized WhatsApp messages, and handles objections in real-time. Understands why the shopper left and addresses it - price concerns, shipping doubts, or product questions.

02

Order Status Agent

Answers "Where is my order?" across WhatsApp, email, and chat by pulling live data from Shiprocket/Delhivery. Handles follow-ups, delays, and exceptions without human intervention.

03

Product Recommendation Agent

Understands shopper intent from browsing behavior and recommends products with reasoning. Not just "you might also like" - but "based on your skin type and previous purchases, this serum works best."

04

Returns & Exchange Agent

Handles return requests, checks eligibility, generates labels, and processes refunds without human intervention. Knows your return policy and applies it consistently every time.

Frequently asked questions

Agentθ is an AI agent builder, not a chatbot. Chatbots follow scripted flows and break when customers go off-script. AI agents built with Agentθ understand context, reason through problems, use tools (check inventory, process payments, update orders), and take actions autonomously - with human-in-the-loop guardrails to prevent errors.

Agentθ supports all major AI models including OpenAI GPT-4, Anthropic Claude, Google Gemini, and open-source models. You can use different models for different tasks - a lightweight model for classification, a powerful model for complex reasoning - and switch between them without changing your agent logic.

Yes. The visual builder lets you design agent workflows with drag-and-drop. Connect triggers, AI models, decision nodes, and actions visually. For advanced use cases, you can add custom JavaScript or Python logic at any step.

Agentθ includes confidence thresholds (if the agent is less than 80% confident, escalate to human), topic boundaries (agent only handles defined topics), action limits (agent can issue refunds up to Rs 500 without approval), and full audit trails so you can review every decision the agent made.

Your support team handles the same 10 questions 500 times a month.

Agentθ builds AI agents that handle them instantly - with the judgment to know when to escalate. 500+ integrations, human guardrails, zero hallucination risk.

Build Your First Agent › or see how Clareθ uses agents ›