AI Automation Platform
Written by Terrell Flautt on October 6, 2025
· 7 min · snapitagent.com
Architecture
React Frontend → API Gateway → Lambda Functions
↓
DynamoDB + S3 + SQS Queues
↓
OpenAI/Claude APIs + Webhook System
Core Challenge
Problem: Users need custom AI agents without coding.
Solution: Visual workflow builder with serverless execution engine.
Agent Execution Lambda
exports.executeAgent = async (event) => {
const { agentId, inputs, userId } = JSON.parse(event.body);
// Load agent configuration
const agent = await dynamoDB.get({
TableName: 'agents',
Key: { id: agentId }
}).promise();
const workflow = agent.Item.workflow;
let context = { ...inputs };
// Execute workflow steps
for (const step of workflow.steps) {
switch (step.type) {
case 'ai_prompt':
context = await executeAIStep(step, context);
break;
case 'data_transform':
context = await transformData(step, context);
break;
case 'webhook':
context = await callWebhook(step, context);
break;
case 'condition':
if (evaluateCondition(step, context)) {
workflow.steps = step.trueBranch;
} else {
workflow.steps = step.falseBranch;
}
break;
}
// Store execution state
await dynamoDB.put({
TableName: 'executions',
Item: {
id: uuidv4(),
agentId,
stepId: step.id,
context,
timestamp: Date.now(),
userId
}
}).promise();
}
return {
statusCode: 200,
body: JSON.stringify({ result: context })
};
};
Visual Workflow Builder
// React Flow integration
function WorkflowBuilder({ agentId }) {
const [nodes, setNodes] = useState([]);
const [edges, setEdges] = useState([]);
const nodeTypes = {
aiPrompt: AIPromptNode,
dataTransform: DataTransformNode,
webhook: WebhookNode,
condition: ConditionNode
};
const onNodesChange = useCallback(
(changes) => setNodes((nds) => applyNodeChanges(changes, nds)),
[]
);
const saveWorkflow = async () => {
const workflow = { nodes, edges };
await fetch('/api/agents/save', {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ agentId, workflow })
});
};
return (
<ReactFlow
nodes={nodes}
edges={edges}
onNodesChange={onNodesChange}
nodeTypes={nodeTypes}
fitView
>
<Background variant="dots" />
<Controls />
<MiniMap />
</ReactFlow>
);
}
AI Integration Layer
async function executeAIStep(step, context) {
const { provider, model, prompt, temperature } = step.config;
// Get API key from SSM
const apiKey = await ssm.getParameter({
Name: `/snapitagent/${provider}-api-key`,
WithDecryption: true
}).promise();
let response;
switch (provider) {
case 'openai':
response = await openai.chat.completions.create({
model: model || 'gpt-4',
messages: [{ role: 'user', content: interpolatePrompt(prompt, context) }],
temperature: temperature || 0.7
});
context.aiResponse = response.choices[0].message.content;
break;
case 'claude':
response = await anthropic.messages.create({
model: model || 'claude-3-sonnet-20240229',
messages: [{ role: 'user', content: interpolatePrompt(prompt, context) }],
max_tokens: 4000
});
context.aiResponse = response.content[0].text;
break;
}
return context;
}
SQS Queue Processing
exports.processQueue = async (event) => {
for (const record of event.Records) {
const { agentId, executionId, delay } = JSON.parse(record.body);
if (delay) {
// Delayed execution
await new Promise(resolve => setTimeout(resolve, delay * 1000));
}
// Continue agent execution
const execution = await dynamoDB.get({
TableName: 'executions',
Key: { id: executionId }
}).promise();
await continueExecution(execution.Item);
}
};
DynamoDB Schema
agents:
- id (string) - partition key
- name (string) - agent name
- userId (string) - GSI partition key
- workflow (map) - workflow definition
- status (string) - active/inactive
- createdAt (string)
executions:
- id (string) - partition key
- agentId (string) - GSI partition key
- stepId (string) - current step
- context (map) - execution context
- timestamp (number) - GSI sort key
- userId (string)
- status (string) - running/completed/failed
templates:
- id (string) - partition key
- category (string) - GSI partition key
- template (map) - workflow template
- popularity (number) - usage count
Key Features
Template Marketplace
function TemplateMarketplace() {
const [templates] = useTemplates();
const categories = [
'Content Creation',
'Data Processing',
'Social Media',
'Customer Support',
'Analytics'
];
return (
<div className="template-grid">
{templates.map(template => (
<TemplateCard
key={template.id}
template={template}
onSelect={importTemplate}
/>
))}
</div>
);
}
Real-time Monitoring
// WebSocket connection for live execution
const ws = new WebSocket('wss://api.snapitagent.com/executions');
ws.onmessage = (event) => {
const { executionId, status, output } = JSON.parse(event.data);
updateExecutionStatus(executionId, status, output);
};
SSM Configuration
/snapitagent/openai-api-key - OpenAI API access
/snapitagent/claude-api-key - Anthropic Claude API
/snapitagent/webhook-secret - Webhook validation
/snapitagent/jwt-secret - Authentication
/snapitagent/stripe-key - Payment processing
Scaling & Performance
- Execution Time: 500ms average per step
- Concurrency: 1000+ agents simultaneously
- Cost: $0.10 per 100 executions
- Reliability: 99.95% uptime with DLQ handling