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The unified AI-native platform for developers

Stop building your own AI tools, workflows, and guardrails. Everything you need to ship AI features faster is already built, tested, and ready to deploy.

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Everything you need, nothing you don't

One platform that replaces all the internal tools, workflows, and infrastructure you'd otherwise have to build yourself.

For Developers
Ship AI features instantly with micro-tools and golden paths
Instant micro-tools for common AI tasks
Golden paths for prompt management
Pre-built workflows and integrations
For Platform Teams
Compliance, visibility, and speed without the overhead
Built-in compliance and safety guardrails
Full visibility into AI operations
Enterprise-grade security and audit trails
For Organizations
Faster shipping, less toil, smarter platform decisions
Reduce time-to-market for AI features
Eliminate maintenance and toil
Focus on core business value
All Tools
Prompt Management
AI Safety
Memory & Context
Human Oversight
Web Scraping

Prompt Management

Prompt Hub
Core
Version control and manage prompts across environments
AI Playground
Interactive
Test and iterate on prompts with real-time feedback
Prompt Versioning
Version Control
Track changes and rollback with confidence

AI Safety

AI Guardrails
Security
Prevent harmful outputs with configurable safety layers
Content Filtering
Compliance
Real-time content moderation and compliance
Quality Scoring
Quality
Automated quality assessment for AI outputs

Memory & Context

Long-term Memory
Memory
Persistent context across conversations and sessions
MCP Tool Registry
New
Discover and integrate Model Context Protocol tools
Context Management
Optimization
Intelligent context window optimization

Web Scraping

AI Web Agents
Agents
Intelligent agents that navigate and extract data from websites
LLM Data Extraction
LLM
Use language models to parse and structure scraped content
Smart Data Pipeline
Pipeline
Automated data cleaning and transformation workflows

Each tool offers the lowest pricing vs. every competitor at scale.

Prompt Management at Scale

Version control your prompts like code. Test variations, track performance, and deploy with confidence. Built-in A/B testing and analytics help you optimize prompt performance across environments.

Git-like versioning with branching and merging
Real-time A/B testing and performance metrics
Environment-specific prompt deployment
// AI Agent with Dynamic Prompt Selection
class CustomerServiceAgent {
async handleCustomerQuery(query, customerTier) {
// Get versioned prompt based on customer tier
const promptConfig = await exemplar.prompts.get({
name: 'customer-support',
version: customerTier === 'premium' ? 'v2.1' : 'v1.5',
environment: 'production'
});
// A/B test prompt variations
const testResult = await exemplar.prompts.abTest({
variants: ['empathetic-tone', 'professional-tone'],
userId: query.userId,
metric: 'customer-satisfaction'
});
return testResult.selectedPrompt;
}
}
// AI Agent with Multi-Layer Safety
class SafeAIAgent {
async generateResponse(userInput) {
// Configure safety guardrails
const safetyConfig = await exemplar.safety.configure({
inputFilters: {
toxicity: 0.8,
piiDetection: true,
customRules: ['no-financial-advice']
},
outputValidation: {
qualityThreshold: 0.85,
factualAccuracy: true,
complianceCheck: 'GDPR'
}
});
// Pre-process input through safety filters
const safeInput = await safetyConfig.validateInput(userInput);
// Generate and validate response
const response = await generateText(safeInput);
const validatedResponse = await safetyConfig.validateOutput(response);
return validatedResponse;
}
}

AI Safety & Compliance

Multi-layered safety systems that protect your applications and users. From content filtering to output validation, ensure your AI behaves responsibly in production environments.

Real-time toxicity and PII detection
Custom safety rules and compliance frameworks
Automated quality scoring and validation

Long-term Memory & Context

Give your AI applications persistent memory across conversations and sessions. Intelligent context management ensures relevant information is always available while optimizing token usage.

Persistent user context and preferences
Intelligent context window optimization
Semantic search across conversation history
// AI Agent with Persistent Memory
class MemoryEnabledAgent {
async handleConversation(userId, message) {
// Initialize user memory session
const memory = await exemplar.memory.getOrCreate({
userId,
type: 'conversational',
retention: '90d',
maxTokens: 4000
});
// Recall relevant context
const relevantContext = await exemplar.memory.semanticSearch({
query: message,
limit: 5,
threshold: 0.7
});
// Store current interaction
await memory.store({
content: message,
metadata: {
timestampnew Date(),
intent: 'support-request'
}
});
return relevantContext;
}
}
// AI Agent with Web Scraping Capabilities
class ResearchAgent {
async gatherInformation(topic) {
// Create intelligent scraping agent
const scraper = await exemplar.scraping.createAgent({
objective: `Research latest news about $${topic}`,
targets: [
'https://news.ycombinator.com',
'https://techcrunch.com',
'https://reddit.com/r/technology'
],
schema: {
title: 'string',
summary: 'string',
url: 'string',
publishedAt: 'date',
relevanceScore: 'number'
},
rateLimiting: {
requestsPerMinute: 10,
respectRobotsTxt: true
}
});
// Execute scraping with LLM processing
const results = await scraper.execute();
// Filter and rank by relevance
const topResults = results
.filter(item => item.relevanceScore > 0.7)
.sort((a, b) => b.relevanceScore - a.relevanceScore)
.slice(0, 10);
return topResults;
}
}

AI Web Scraping Agents

Deploy intelligent agents that understand web pages like humans do. Use LLMs to navigate complex sites, extract structured data, and adapt to layout changes automatically.

LLM-powered content understanding and extraction
Adaptive agents that handle dynamic content
Built-in rate limiting and ethical scraping

Human-in-the-Loop Workflows

Build AI applications that know when to ask for help. Seamlessly integrate human oversight into your AI workflows with configurable approval gates and review processes.

Approval workflows for sensitive operations
Real-time human review and feedback
Escalation rules and notification systems
// AI Agent with Human Oversight
class SupervisedAgent {
async processRequest(request) {
// Configure approval workflow
const workflow = await exemplar.workflows.create({
name: 'financial-advice-review',
triggers: [
'high-risk-content',
'financial-advice',
'legal-implications'
],
approvers: [
{ role: 'compliance-officer', required: true },
{ role: 'senior-advisor', required: false }
],
timeout: 3600, // 1 hour
escalation: {
after: 1800, // 30 minutes
notify: 'manager@company.com'
}
});
// Check if human approval needed
const needsApproval = await exemplar.workflows.shouldTrigger(request);
if (needsApproval) {
const approval = await workflow.requestApproval(request);
return approval.approved ? approval.response : 'Request denied';
}
return await processAutomatically(request);
}
}

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