Why MeetLoyd?

There are many ways to build AI applications. Here's why teams choose MeetLoyd for their AI workforce.

The Problem with Building AI Agents

Building production AI agents is hard. Here's what teams typically face:

Without MeetLoyd

Day 1: "Let's add AI to our app!"
Day 7: Basic chat working, but no memory
Day 14: Memory added, but losing context
Day 30: Tools working, but security concerns
Day 60: Multi-agent working, but can't scale
Day 90: Rewriting everything for production

You end up building:

• Authentication and authorization
• Memory and context management
• Tool execution frameworks
• Agent orchestration
• Audit logging and compliance
• Rate limiting and cost controls
• Deployment and scaling infrastructure

That's 6+ months of platform work before building the actual AI features you need.

With MeetLoyd

Day 1: Deploy your first agent
Day 7: Multi-agent team with memory and tools
Day 14: Production workflows with approvals
Day 30: Scaling to enterprise with SSO and audit logs

Key Differentiators

1. Organization Built-In

Most AI frameworks treat agents as isolated entities. MeetLoyd mirrors how real organizations work:

Your Company (Tenant)
└── IT Department (App)
    └── Helpdesk Team
        ├── Triage Agent
        ├── Password Reset Agent
        └── Escalation Agent

Agents inherit permissions, share context, and escalate naturally—just like human teams.

2. Memory That Actually Works

// Other platforms: You manage memory yourself
const messages = await getMessages(userId);
const summary = await summarize(messages);
const context = await buildContext(summary);
// ... 200 more lines of memory management

// MeetLoyd: Memory just works
const agent = await meetloyd.agents.chat({
  agentId: 'support-agent',
  message: 'What did we discuss yesterday?'
});
// Agent automatically has full conversation context

3. Enterprise-Ready from Day One

Feature	DIY	MeetLoyd
SSO/SCIM	Build it	✅ Built-in
Audit Logs	Build it	✅ Built-in
Human Approvals	Build it	✅ Built-in
SOC 2 Compliance	Months	✅ Built-in
Multi-tenant	Complex	✅ Built-in

4. Visual + Code

Use whatever approach fits your team:

Visual Studio - Drag-and-drop workflows, no code required

[Trigger: New Email] → [Agent: Classify] → [If Urgent] → [Agent: Respond]
                                          → [If Not] → [Queue for Review]

Full API Access - Complete programmatic control

const workflow = await meetloyd.workflows.create({
  name: 'Email Classifier',
  triggers: [{ type: 'webhook', path: '/new-email' }],
  steps: [/* ... */]
});

5. Store Ecosystem

Don't start from scratch. Install pre-built agents and templates:

• IT Helpdesk - Password resets, user provisioning, ticket routing
• HR Assistant - Onboarding, policy Q&A, time-off requests
• Sales Support - Lead qualification, meeting scheduling
• Customer Success - Usage analysis, churn prediction

Or publish your own agents and build a business on the store.

Comparison

vs. Building from Scratch

Aspect	DIY	MeetLoyd
Time to first agent	Weeks	Minutes
Memory management	You build it	Built-in
Multi-agent orchestration	Complex	Simple
Tool integrations	Build each	50+ included
Enterprise features	Months	Day one
Maintenance	Ongoing	Managed

vs. Other AI Platforms

Feature	LangChain	AutoGPT	MeetLoyd
Organization hierarchy	❌	❌	✅
Visual builder	❌	❌	✅
Human-in-the-loop	Manual	Limited	✅ Native
Enterprise SSO	❌	❌	✅
Store	❌	❌	✅
Production-ready	Library	Experimental	✅ Platform

vs. ChatGPT/Claude Direct

Aspect	Direct API	MeetLoyd
Memory persistence	You manage	Built-in
Tool execution	You build	Built-in
Multi-agent	You orchestrate	Built-in
Cost controls	You implement	Built-in
Audit logging	You build	Built-in

Who Shouldn't Use MeetLoyd?

MeetLoyd might not be the right choice if:

• You need a simple chatbot - Use the model API directly
• You're building a novel AI research project - Use lower-level frameworks
• You need on-premise only - We're cloud-first (enterprise on-premise coming)
• You have unlimited engineering time - Build your own platform

Who Should Use MeetLoyd?

MeetLoyd is built for teams who:

• Want to deploy AI agents to production quickly
• Need enterprise features without building them
• Want agents that work together like real teams
• Prefer managed infrastructure over DIY
• Value developer experience and productivity

Get Started

Ready to build your AI workforce?

• Installation - Create your account
• Quickstart - Deploy in 5 minutes
• Architecture - Understand the platform

---

Questions about whether MeetLoyd is right for your use case? Ask in Discord