AI Personal Chief of Staff
Comprehensive digital life management with intelligent automation
typescript
import { cronflow } from 'cronflow';
import { z } from 'zod';
// Types for better type safety
interface EmailAnalysis {
priority: 'URGENT' | 'HIGH' | 'MEDIUM' | 'LOW';
category: string;
actionRequired: boolean;
suggestedResponse: string | null;
reasoning: string;
confidence: number;
}
interface CalendarOptimization {
suggestions: {
type: 'RESCHEDULE' | 'BATCH' | 'BREAK' | 'PREP_TIME';
description: string;
originalTime: string;
suggestedTime: string;
reason: string;
energyImpact: number;
}[];
productivityScore: number;
recommendedFocus: string[];
}
interface RelationshipAnalysis {
followUpNeeded: {
contact: string;
lastInteraction: string;
daysSinceContact: number;
relationship: string;
suggestedAction: string;
priority: number;
}[];
relationshipInsights: {
strongConnections: string[];
weakConnections: string[];
networkingOpportunities: string[];
};
}
interface TravelPlan {
flightOptions: {
option: string;
price: number;
duration: string;
stops: number;
recommendation: string;
}[];
hotelRecommendations: {
name: string;
price: number;
rating: number;
distance: string;
businessFriendly: boolean;
}[];
itinerarySuggestions: {
day: string;
activities: string[];
meetings: string[];
optimizations: string[];
}[];
budgetAnalysis: {
estimated: number;
breakdown: { [category: string]: number };
compared: string;
};
}
interface UrgentItem {
type: 'URGENT_EMAILS' | 'EXPENSIVE_TRAVEL';
count?: number;
amount?: number;
description: string;
}
// Core AI Analysis Functions
async function analyzeEmailImportance(
email: any,
userProfile: any
): Promise<EmailAnalysis> {
// Simulate advanced email analysis
const isFromBoss = email.sender.includes(userProfile.bossEmail);
const hasUrgentKeywords = ['urgent', 'asap', 'deadline', 'critical'].some(
word => email.subject.toLowerCase().includes(word)
);
const isFromClient = userProfile.clients.includes(email.sender);
let priority: 'URGENT' | 'HIGH' | 'MEDIUM' | 'LOW';
if (isFromBoss && hasUrgentKeywords) priority = 'URGENT';
else if (isFromClient || hasUrgentKeywords) priority = 'HIGH';
else if (isFromBoss) priority = 'MEDIUM';
else priority = 'LOW';
return {
priority,
category: isFromClient
? 'Client Communication'
: isFromBoss
? 'Management'
: 'General',
actionRequired: priority === 'URGENT' || priority === 'HIGH',
suggestedResponse:
priority === 'HIGH'
? "Thank you for your email. I'll review this and get back to you by [TIME]."
: null,
reasoning: `${isFromBoss ? 'From boss, ' : ''}${hasUrgentKeywords ? 'contains urgent keywords, ' : ''}${isFromClient ? 'from important client' : ''}`,
confidence: 0.85,
};
}
async function optimizeCalendar(
events: any[],
userPreferences: any
): Promise<CalendarOptimization> {
// Simulate intelligent calendar optimization
const suggestions = [
{
type: 'BATCH' as const,
description: 'Batch similar meetings together',
originalTime: '10:00 AM, 2:00 PM, 4:00 PM',
suggestedTime: '10:00 AM, 10:30 AM, 11:00 AM',
reason: 'Reduce context switching, create longer focus blocks',
energyImpact: 0.3,
},
{
type: 'BREAK' as const,
description: 'Add recovery time after difficult meetings',
originalTime: 'Back-to-back board meetings',
suggestedTime: 'Add 15-min buffer between meetings',
reason: 'High-stress meetings require mental recovery',
energyImpact: 0.4,
},
];
return {
suggestions,
productivityScore: 78,
recommendedFocus: [
'Deep work block 9-11 AM',
'Creative tasks after lunch',
'Admin tasks end of day',
],
};
}
async function analyzeRelationships(
contacts: any[],
interactions: any[]
): Promise<RelationshipAnalysis> {
// Simulate relationship analysis
return {
followUpNeeded: [
{
contact: 'John Smith (Former Colleague)',
lastInteraction: '2024-06-15',
daysSinceContact: 42,
relationship: 'Professional Network',
suggestedAction: 'Send catch-up message, mention your recent promotion',
priority: 7,
},
{
contact: 'Sarah Johnson (Client)',
lastInteraction: '2024-07-10',
daysSinceContact: 16,
relationship: 'Key Client',
suggestedAction:
'Check in on project progress, offer additional support',
priority: 9,
},
],
relationshipInsights: {
strongConnections: [
'Direct team members',
'Key clients',
'Industry mentors',
],
weakConnections: [
'Former colleagues',
'Conference contacts',
'LinkedIn connections',
],
networkingOpportunities: [
'Industry conference next month',
'Alumni meetup',
'Client introductions',
],
},
};
}
async function planTravel(
destination: string,
dates: any,
preferences: any
): Promise<TravelPlan> {
// Simulate intelligent travel planning
return {
flightOptions: [
{
option: 'Direct flight 8:00 AM',
price: 450,
duration: '3h 15m',
stops: 0,
recommendation:
'Best for productivity - arrive fresh for afternoon meetings',
},
{
option: 'Connecting flight 6:00 AM',
price: 320,
duration: '5h 30m',
stops: 1,
recommendation:
'Budget option - but early departure may affect performance',
},
],
hotelRecommendations: [
{
name: 'Business Center Hotel',
price: 180,
rating: 4.2,
distance: '0.3 miles from client office',
businessFriendly: true,
},
],
itinerarySuggestions: [
{
day: 'Day 1',
activities: ['Arrive 2 PM', 'Hotel check-in', 'Prep for tomorrow'],
meetings: ['Client dinner 7 PM'],
optimizations: ['Rest after flight', 'Review client materials'],
},
],
budgetAnalysis: {
estimated: 1200,
breakdown: { flights: 450, hotel: 540, meals: 150, transport: 60 },
compared: '15% under typical business trip budget',
},
};
}
// Utility Functions
async function sendNotification(
type: string,
message: string,
priority: 'HIGH' | 'MEDIUM' | 'LOW',
data?: any
) {
console.log(`📱 [${priority}] ${type}: ${message}`);
if (data) console.log('📊 Details:', JSON.stringify(data, null, 2));
}
async function updateDigitalAssistant(insights: any) {
console.log('🧠 AI Assistant learning updated with new insights');
}
async function scheduleTask(task: string, when: string, priority: number) {
console.log(`📅 Scheduled: ${task} for ${when} (Priority: ${priority})`);
}
// Define the AI Personal Chief of Staff
const aiChiefOfStaff = cronflow.define({
id: 'ai-chief-of-staff',
name: 'AI Personal Chief of Staff',
description:
'Comprehensive digital life management with intelligent automation',
hooks: {
onSuccess: ctx => {
console.log('✅ Digital life management cycle completed');
console.log('📈 Performance:', {
emailsProcessed: ctx.last?.emailAnalysis?.length || 0,
calendarOptimizations: ctx.last?.calendarSuggestions?.length || 0,
relationshipActions: ctx.last?.followUpActions?.length || 0,
processingTime:
Date.now() - (ctx.steps?.[0]?.output?.startTime || Date.now()),
});
},
onFailure: ctx => {
console.log('❌ AI Chief of Staff encountered an error:', ctx.error);
sendNotification(
'System Error',
'Chief of Staff needs attention',
'HIGH',
{ error: ctx.error }
);
},
},
});
aiChiefOfStaff
.onWebhook('/webhooks/manage-digital-life', {
schema: z.object({
userId: z.string(),
trigger: z.enum([
'MORNING_BRIEF',
'EMAIL_BATCH',
'CALENDAR_SYNC',
'TRAVEL_REQUEST',
'WEEKLY_REVIEW',
]),
data: z.object({
// Email data
newEmails: z
.array(
z.object({
id: z.string(),
sender: z.string(),
subject: z.string(),
body: z.string(),
timestamp: z.string(),
attachments: z.array(z.string()).optional(),
})
)
.optional(),
// Calendar data
calendarEvents: z
.array(
z.object({
id: z.string(),
title: z.string(),
start: z.string(),
end: z.string(),
attendees: z.array(z.string()),
type: z.string(),
importance: z.number().optional(),
})
)
.optional(),
// Travel request
travelRequest: z
.object({
destination: z.string(),
dates: z.object({
departure: z.string(),
return: z.string(),
}),
purpose: z.string(),
budget: z.number().optional(),
})
.optional(),
// User preferences and profile
userProfile: z
.object({
workingHours: z.object({
start: z.string(),
end: z.string(),
}),
priorities: z.array(z.string()),
communicationStyle: z.enum(['FORMAL', 'CASUAL', 'DIRECT']),
bossEmail: z.string(),
clients: z.array(z.string()),
travelPreferences: z
.object({
preferredAirlines: z.array(z.string()),
seatPreference: z.string(),
hotelChain: z.string().optional(),
})
.optional(),
})
.optional(),
}),
}),
})
// Step 1: Initialize and assess current situation
.step('assess-digital-landscape', async ctx => {
console.log('🔍 Assessing current digital landscape...');
const { trigger, data, userId } = ctx.payload;
const startTime = Date.now();
const context = {
userId,
trigger,
timestamp: new Date().toISOString(),
dataPoints: {
emailCount: data.newEmails?.length || 0,
calendarEvents: data.calendarEvents?.length || 0,
hasTravelRequest: !!data.travelRequest,
userProfileComplete: !!data.userProfile,
},
};
console.log(
`📊 Context: ${trigger} triggered with ${context.dataPoints.emailCount} emails, ${context.dataPoints.calendarEvents} calendar events`
);
return {
context,
startTime,
assessmentComplete: true,
};
})
// Step 2: Parallel processing of different life areas
.parallel([
// Email intelligence and prioritization
async ctx => {
if (!ctx.payload.data.newEmails?.length) {
return { emailAnalysis: null };
}
console.log('📧 Analyzing email intelligence...');
const emailAnalyses = await Promise.all(
ctx.payload.data.newEmails.map(email =>
analyzeEmailImportance(email, ctx.payload.data.userProfile)
)
);
const urgentEmails = emailAnalyses.filter(
analysis => analysis.priority === 'URGENT'
);
const actionRequiredEmails = emailAnalyses.filter(
analysis => analysis.actionRequired
);
return {
emailAnalysis: emailAnalyses,
urgentCount: urgentEmails.length,
actionRequiredCount: actionRequiredEmails.length,
priorityBreakdown: {
urgent: emailAnalyses.filter(e => e.priority === 'URGENT').length,
high: emailAnalyses.filter(e => e.priority === 'HIGH').length,
medium: emailAnalyses.filter(e => e.priority === 'MEDIUM').length,
low: emailAnalyses.filter(e => e.priority === 'LOW').length,
},
};
},
// Calendar optimization and meeting intelligence
async ctx => {
if (!ctx.payload.data.calendarEvents?.length) {
return { calendarAnalysis: null };
}
console.log('📅 Optimizing calendar and analyzing meetings...');
const calendarOptimization = await optimizeCalendar(
ctx.payload.data.calendarEvents,
ctx.payload.data.userProfile
);
return {
calendarAnalysis: calendarOptimization,
optimizationCount: calendarOptimization.suggestions.length,
productivityScore: calendarOptimization.productivityScore,
};
},
// Relationship management and networking
async ctx => {
console.log('🤝 Analyzing relationships and networking opportunities...');
// Simulate getting contacts and interactions from various sources
const contacts = [
{
name: 'John Smith',
email: 'john@company.com',
role: 'Former Colleague',
},
{
name: 'Sarah Johnson',
email: 'sarah@client.com',
role: 'Key Client',
},
];
const interactions = [
{ contact: 'john@company.com', date: '2024-06-15', type: 'email' },
{ contact: 'sarah@client.com', date: '2024-07-10', type: 'meeting' },
];
const relationshipAnalysis = await analyzeRelationships(
contacts,
interactions
);
return {
relationshipAnalysis,
followUpCount: relationshipAnalysis.followUpNeeded.length,
networkingOpportunities:
relationshipAnalysis.relationshipInsights.networkingOpportunities
.length,
};
},
])
// Step 3: Process travel requests if present
.if('has-travel-request', ctx => !!ctx.payload.data.travelRequest)
.step('plan-travel-intelligently', async ctx => {
console.log('✈️ Planning intelligent travel itinerary...');
const travelRequest = ctx.payload.data.travelRequest!;
const userPreferences = ctx.payload.data.userProfile?.travelPreferences;
const travelPlan = await planTravel(
travelRequest.destination,
travelRequest.dates,
userPreferences
);
return {
travelPlan,
budgetStatus: travelRequest.budget
? travelPlan.budgetAnalysis.estimated <= travelRequest.budget
? 'WITHIN_BUDGET'
: 'OVER_BUDGET'
: 'NO_BUDGET_SET',
planGenerated: true,
};
})
.endIf()
// Step 4: Generate intelligent insights and recommendations
.step('generate-actionable-insights', async ctx => {
console.log('🧠 Generating actionable insights and recommendations...');
const [emailResult, calendarResult, relationshipResult] = ctx.last;
const travelResult = ctx.steps['plan-travel-intelligently']?.output;
// Generate comprehensive insights
const insights = {
emailInsights: emailResult?.emailAnalysis
? {
summary: `${emailResult.urgentCount} urgent emails need immediate attention`,
actions: emailResult.emailAnalysis
.filter(e => e.actionRequired)
.map(
e =>
`Respond to ${e.category} email: ${e.suggestedResponse || 'Manual review needed'}`
),
}
: null,
calendarInsights: calendarResult?.calendarAnalysis
? {
summary: `Calendar productivity score: ${calendarResult.productivityScore}/100`,
suggestions: calendarResult.calendarAnalysis.suggestions.map(
s => s.description
),
focusBlocks: calendarResult.calendarAnalysis.recommendedFocus,
}
: null,
relationshipInsights: relationshipResult?.relationshipAnalysis
? {
summary: `${relationshipResult.followUpCount} relationships need attention`,
actions: relationshipResult.relationshipAnalysis.followUpNeeded
.sort((a, b) => b.priority - a.priority)
.slice(0, 3)
.map(r => r.suggestedAction),
}
: null,
travelInsights: travelResult?.travelPlan
? {
summary: `Travel plan generated - ${travelResult.budgetStatus}`,
recommendations:
travelResult.travelPlan.flightOptions[0].recommendation,
totalBudget: travelResult.travelPlan.budgetAnalysis.estimated,
}
: null,
};
return {
insights,
insightsGenerated: true,
totalActions:
(insights.emailInsights?.actions.length || 0) +
(insights.relationshipInsights?.actions.length || 0) +
(insights.calendarInsights?.suggestions.length || 0),
};
})
// Step 5: Determine if high-priority actions need user approval
.if('needs-user-approval', ctx => {
const emailResult = ctx.steps['assess-digital-landscape']?.output;
const urgentEmails = emailResult?.urgentCount || 0;
const travelBudget =
ctx.steps['plan-travel-intelligently']?.output?.travelPlan?.budgetAnalysis
.estimated || 0;
// Require approval for urgent emails or expensive travel
return urgentEmails > 0 || travelBudget > 2000;
})
.step('prepare-approval-request', async ctx => {
console.log('👤 Preparing high-priority decisions for approval...');
const urgentItems: UrgentItem[] = [];
// Collect urgent emails
const emailResult = ctx.steps['assess-digital-landscape']?.output;
if (emailResult?.urgentCount > 0) {
urgentItems.push({
type: 'URGENT_EMAILS',
count: emailResult.urgentCount,
description: 'Urgent emails requiring immediate attention',
});
}
// Collect expensive travel
const travelResult = ctx.steps['plan-travel-intelligently']?.output;
if (travelResult?.travelPlan?.budgetAnalysis.estimated > 2000) {
urgentItems.push({
type: 'EXPENSIVE_TRAVEL',
amount: travelResult.travelPlan.budgetAnalysis.estimated,
description: 'High-cost travel requires approval',
});
}
return {
approvalData: {
urgentItems,
insights: ctx.last.insights,
recommendations: urgentItems.map(item =>
item.type === 'URGENT_EMAILS'
? 'Review and respond to urgent emails'
: 'Approve travel budget and proceed with booking'
),
},
preparedAt: Date.now(),
};
})
.humanInTheLoop({
timeout: '2h',
description: 'High-priority decisions require your attention',
onPause: async (ctx, token) => {
console.log('🛑 Your attention needed for high-priority decisions');
await sendNotification(
'Chief of Staff Alert',
`${ctx.last.approvalData.urgentItems.length} high-priority items need your decision`,
'HIGH',
{
token,
items: ctx.last.approvalData.urgentItems,
approvalUrl: `https://assistant.yoursite.com/approve/${token}`,
}
);
},
})
.step('process-user-decisions', async ctx => {
if (ctx.last.timedOut) {
return {
approved: false,
reason: 'Approval timeout - proceeding with safe defaults',
actions: [
'Flagged urgent items for later review',
'Postponed high-cost decisions',
],
};
}
return {
approved: ctx.last.approved,
reason: ctx.last.reason,
actions: ctx.last.approvedActions || [],
userFeedback: ctx.last.feedback,
};
})
.else()
.step('auto-execute-routine-actions', async ctx => {
console.log('⚡ Auto-executing routine actions...');
const actions: string[] = [];
// Auto-schedule follow-ups for medium-priority relationships
const relationshipResult = ctx.steps['assess-digital-landscape']?.output;
if (relationshipResult) {
const mediumPriorityFollowUps =
relationshipResult.relationshipAnalysis.followUpNeeded.filter(
r => r.priority >= 5 && r.priority < 8
);
for (const followUp of mediumPriorityFollowUps) {
actions.push(`Scheduled follow-up with ${followUp.contact}`);
}
}
// Auto-implement low-impact calendar optimizations
const calendarResult = ctx.steps['assess-digital-landscape']?.output;
if (calendarResult) {
const lowImpactSuggestions =
calendarResult.calendarAnalysis.suggestions.filter(
s => s.energyImpact < 0.3
);
for (const suggestion of lowImpactSuggestions) {
actions.push(`Calendar optimization: ${suggestion.description}`);
}
}
return {
approved: true,
reason: 'Routine actions auto-executed',
actions,
};
})
.endIf()
// Step 6: Execute approved actions and send summary
.step('execute-and-summarize', async ctx => {
console.log('📋 Executing actions and preparing summary...');
const processingTime =
Date.now() - ctx.steps['assess-digital-landscape'].output.startTime;
const executedActions = ctx.last.actions || [];
// Generate daily brief
const brief = {
timestamp: new Date().toISOString(),
processingTime,
trigger: ctx.payload.trigger,
summary: {
emailsProcessed:
ctx.steps['assess-digital-landscape']?.output?.emailAnalysis
?.length || 0,
calendarOptimizations:
ctx.steps['assess-digital-landscape']?.output?.optimizationCount || 0,
relationshipActions:
ctx.steps['assess-digital-landscape']?.output?.followUpCount || 0,
travelPlanned: !!ctx.steps['plan-travel-intelligently']?.output,
},
insights: ctx.steps['generate-actionable-insights']?.output?.insights,
actionsExecuted: executedActions,
nextSteps: [
'Monitor email responses',
'Track calendar optimization effectiveness',
'Follow up on relationship building',
],
};
return {
brief,
executed: true,
performance: {
efficiency:
processingTime < 5000
? 'EXCELLENT'
: processingTime < 10000
? 'GOOD'
: 'NEEDS_IMPROVEMENT',
actionCount: executedActions.length,
},
};
})
// Background actions that don't block the main workflow
.action('update-ai-learning', async ctx => {
console.log('🧠 Updating AI learning models...');
// This would update the AI models based on user interactions and outcomes
const learningData = {
emailPriorityAccuracy:
'Track how often user agrees with email prioritization',
calendarOptimizationEffectiveness: 'Measure productivity improvements',
relationshipActionSuccess: 'Track follow-up response rates',
userPreferenceLearning: 'Adapt to user behavior patterns',
};
await updateDigitalAssistant(learningData);
})
.action('schedule-proactive-tasks', async ctx => {
console.log('📅 Scheduling proactive tasks...');
// Schedule follow-up tasks based on the analysis
const brief = ctx.last.brief;
if (brief.summary.emailsProcessed > 10) {
await scheduleTask(
'Email batch processing optimization review',
'tomorrow 9 AM',
6
);
}
if (brief.summary.relationshipActions > 5) {
await scheduleTask(
'Relationship management effectiveness review',
'end of week',
4
);
}
// Always schedule next check-in
await scheduleTask('Daily digital life assessment', 'tomorrow morning', 8);
});
// Start the AI Chief of Staff
console.log('🚀 Starting AI Personal Chief of Staff...');
cronflow.start();
console.log('📋 Available endpoints:');
console.log(
' POST /webhooks/manage-digital-life - Comprehensive digital life management'
);
console.log('');
console.log('📖 Example usage - Morning Brief:');
console.log(`curl -X POST http://localhost:3000/webhooks/manage-digital-life \\
-H "Content-Type: application/json" \\
-d '{
"userId": "user_123",
"trigger": "MORNING_BRIEF",
"data": {
"newEmails": [
{
"id": "email_1",
"sender": "boss@company.com",
"subject": "Urgent: Q3 Review Meeting",
"body": "Need to discuss Q3 numbers ASAP",
"timestamp": "2024-07-26T08:00:00Z"
}
],
"calendarEvents": [
{
"id": "meeting_1",
"title": "Team Standup",
"start": "2024-07-26T09:00:00Z",
"end": "2024-07-26T09:30:00Z",
"attendees": ["team@company.com"],
"type": "recurring"
}
],
"userProfile": {
"workingHours": { "start": "09:00", "end": "17:00" },
"priorities": ["Client work", "Team development", "Strategic planning"],
"communicationStyle": "DIRECT",
"bossEmail": "boss@company.com",
"clients": ["client1@company.com", "client2@company.com"]
}
}
}'`);
console.log('');
console.log('🔧 Advanced capabilities:');
console.log(' - Intelligent email prioritization and response suggestions');
console.log(' - Calendar optimization with productivity scoring');
console.log(' - Relationship management and networking insights');
console.log(' - Travel planning with budget optimization');
console.log(' - Human-in-the-loop for high-impact decisions');
console.log(' - Continuous learning from user interactions');
console.log(' - Proactive task scheduling and life optimization');
// Export for external use
export { cronflow, aiChiefOfStaff };