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Integrations
Introducing
Agent Builder 2.0 :
Where Simplicity Meets Depth
From prompt to production, build and deploy AI Agents that understand users, adapt to your business, and deliver richer, more human-like conversations.
Built for Every User
Crafted for Enterprises
Designed for Every Channel
Deep capabilities.
Endless possibilities.
-
Built for
Every UserCreate AI agents that think, respond and act
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Crafted for
EnterprisesConnect, decide, and
execute complex tasks
with ease -
Designed for
Every ChannelMulti-modal
conversations with
clarity and context
Create AI agents that think, respond and act
Building AI shouldn’t require technical expertise. With Agent Builder 2.0, anyone from business users to developers can create powerful agents in minutes. Our completely redesigned interface helps users build agents faster and easier than ever! Simply define goals and let the system handle the how, whether it is gathering data or executing across tools.
- Convert ideas into prompts with Ask AI
- Build high quality AI Agents with Analyzer
- Get help every step using MagicCues
Simply describe what you want your agent to do, and Ask AI will turn it into a structured, optimized prompt. No complicated prompts or scripted flows required.
Think of this feature as Grammarly for AI Agents. As you build, the analyzer reviews prompts, detects weak spots, and recommends one-click fixes to keep your agent efficient and consistent.
Users will receive intelligent nudges that add missing validations, and refine workflows automatically.These cues make the building process intuitive, helping them build better agents effortlessly.
Connect, decide, and
execute complex tasks
with ease
Build multi-step AI Agents which can perform business actions such as creating support tickets, initiating orders, or routing approvals, via simple, no-code configurations. These agents make intelligent decisions on the fly, integrate seamlessly with tools and knowledge bases, and can choose the right actions based on each user’s specific request.
- Smart task automation with Workflows 2.0
- Connect to external systems via event-driven triggers
- Perform agent handoffs within the same interface
- Run controlled experiments with agent versioning
Build on a clean, visual flow designer, and run streamlined workflows that make development faster and simpler. Build sophisticated automation without any complexity.
Trigger AI agents automatically and seamlessly handle scenarios such as abandoned carts, payment confirmations, order updates and more
Seamlessly transfer conversations between AI agents or escalate to human agents for complex needs. Our super agent automatically orchestrates multiple requests and can assigns tasks to domain agents or transfer to a human agent while retaining context
Save different versions of AI agents and roll back to any past version in time, or revert changes and build with confidence
Multi-modal
conversations with
clarity and context
Our AI agents support multimodal communications, which means that they understand user intent, whether it is through text, image or voice inputs, and provide accurate responses, and manage shifts in conversation by switching context without losing sight of the original goal.
- Enhance user engagement with richer interactions
- Rely on conversational bubbles for a more natural user experience
- Experience the best of multi-lingual and omni-channel support
Go beyond text with buttons, cards, carousels, forms, date pickers, location sharing, and more—on any channel.
Turn long, static responses into short, contextual conversational bubbles that keep users engaged.
Our AI Agents can understand and respond naturally across languages, regions, and platforms — ensuring a consistent experience for all users. Setup SOPs and behaviors for each channel including web, mobile, voice, and messaging platforms.
Numbers That Speak for Themselves
10K
Total Al agents
deployed
400K
Conversations in
30 days
200K
Workflows executed in
the first 30 days
30K
Knowledge base
queries answered
3X
Faster
Deployments
93%
Containment
40%
Higher CSAT
60%
Reduction in
Operational Costs
FAQs
How can I test, debug and optimize my AI Agents in real time before and after deployment?
With our copilot feature, you can get complete visibility into the reasoning and sequence of actions taken by an AI agent, while building them. You can make adjustments to prompts, personas, or workflows, then replay conversations to observe how these modifications affect agent performance.
By accessing comprehensive test run logs, LLM prompts, and decision pathways you can diagnose unexpected behaviors. In addition, you can trace exactly which part of the prompt or configuration caused it—whether it’s a technical error, a knowledge retrieval failure, or a hallucinated response.
Can I build and deploy AI agents without writing code or complex prompts?
Yes. Yellow.ai’s AI agent builder doesn’t need any code or complex prompts. You need to define goals and our AI agents accomplish them be it in the form of retrieving data or executing workflows. Our Ask AI feature converts ideas into meaningful, structured prompts. And with our new and improved workflow builder, you can create and execute flows to reduce development time.
How do the Super Agent and Domain Agents work together to manage tasks and maintain context?
Acting as a central decision hub, Yellow.ai’s super agent automatically orchestrates multiple requests, assigns tasks to each domain agent, while retaining the context of past interactions.
Domain specific agents decide which action to perform, get information from tools, while retaining context and ensuring user conversations are secure.
Can the AI Agent Builder integrate securely with CRMs, help desks, and enterprise databases for multi-step workflows?
Yes, absolutely. During a conversation, our AI agents created by the agent builder make decisions by seamlessly integrating with other tools, CRMs, knowledge bases and databases to pull necessary information, and relay it to the user.
How does the platform manage complex, multi-turn conversations and context switching across channels?
Our Super agents help with this. They understand the whole customer conversation, retain context and drive towards the main goal of a customer’s query. They recognize multiple intents, decides which conversational flow or tool needs to be triggered., Unlike other normal bots, our super agents have a memory window which retains the knowledge of past interactions, which helps in switching contextad
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