AI manages your calendar, tasks and reminders. Automatic day planning, task prioritization and cross-device sync.
Automatic file organization, photo sorting by date and content, smart document search.
AI transcribes voice messages, extracts key points, creates summaries and to-do lists from audio.
AI helps structure knowledge, maintain wikis, generate documentation and create links between notes.
AI analyzes iMessage conversations, reminds about important dates, helps maintain connections with friends and colleagues.
AI records, transcribes and structures conference notes, highlights key insights and action items.
Semantic search across Obsidian notes via QMD — find related ideas by meaning, not just keywords.
Physical book scanning via OCR, extracting quotes and ideas, automatic cataloging in a personal vault.
AI translates and explains restaurant menu items, accounts for allergies and dietary preferences.
Project management system via STATE.yaml pattern: main agent decomposes project, assigns tasks to sub-agents, tracks progress and dependencies.
AI automatically categorizes incoming emails, unsubscribes from newsletters, archives unimportant ones, highlights priority and creates to-dos from action items.
AI builds and maintains a personal CRM: automatically discovers new contacts from conversations, enriches profiles with social media data, reminds about follow-ups.
Unified AI assistant accessible via Telegram, WhatsApp, email, web and voice. Context sync between channels, unified memory and history.
Event-driven project management via STATE.yaml: agent tracks state changes, reacts to events, automates stage transitions.
Interactive dashboard where each widget is managed by a separate sub-agent: weather, tasks, metrics, news. Sub-agents work in parallel and update data in real-time.
Agent creates and updates tasks in Todoist, letting you see AI work progress in a familiar interface. Two-way sync: you can also assign tasks to the agent.
AI manages family schedule: school events, kids' activities, household chores, shopping lists, weekly menu, coordination between family members.
AI automatically records meetings, creates structured notes, highlights decisions and action items, assigns owners and deadlines, sends follow-ups.
AI tracks your habits, motivates, analyzes progress, adapts strategy to your rhythm and helps you stay on track.
AI sends event invitations, collects RSVPs, maintains guest list, sends reminders and updates, manages waitlist.
AI sorts, replies and manages email. Automatic replies, spam filtering, important email prioritization.
Building AI bots for Telegram, Discord, Slack with context, multimodality and integrations support.
Voice AI assistant with realistic speech via ElevenLabs. Natural dialogs, multilingual support.
Unifying all messengers into one via Beeper with AI message processing, auto-replies and analytics.
Personal AI assistant accessible via phone call. Voice control of tasks, calendar, notes and smart home through a regular phone number.
Creating interactive dashboards, visual panels and information displays with AI.
AI helps plan, create and publish social media content. Engagement analysis and optimal posting times.
System of 6 specialized AI agents: researcher, writer, editor, SEO specialist, designer and manager.
Agent automatically collects top posts from selected subreddits, creates a structured digest with key discussions and trends, and delivers it at a convenient time.
Agent monitors YouTube subscriptions and channels, creates summaries of new videos with timestamps and key moments, helps you never miss important content.
Deep X account analysis: post topics, audience engagement, best posting times, growth recommendations and content strategy.
Agent aggregates news from 109+ sources: Hacker News, TechCrunch, Product Hunt, Reddit, Twitter and others. Deduplication, prioritization and personalization by interests.
Complete YouTube pipeline: idea generation, scriptwriting, thumbnail creation, title and description optimization, publication scheduling.
System of multiple specialized agents for mass content production: researcher, copywriter, editor, SEO optimizer, designer work in parallel.
Complete podcast production cycle: topic research, guest question preparation, transcription, show notes creation, social media clip cutting.
AI analyzes Garmin data: sleep, heart rate, stress, activity. Personal recommendations and trends.
AI compiles morning digest: news by your interests, weather, calendar, health, daily tasks.
AI keeps a health diary: records symptoms, tracks patterns, correlates with nutrition and sleep, reminds about medication and doctor visits.
AI assistant takes over small business routine: inventory management, employee scheduling, client database maintenance, and report generation.
AI assistant helps analyze insurance policies, find best deals and negotiate with companies.
AI agent handles customer requests from multiple channels: email, chat, social media. Unified knowledge base, complex case escalation, satisfaction analytics.
Tools for managing various AI models, comparing performance, optimizing costs and routing requests.
AI assists in web application development: code generation, review, debugging, UI component creation.
AI optimizes development workflow: CI/CD automation, test generation, code review, documentation.
QMD context compression technology for efficient work with large codebases and documents.
AI helps find issues, prepare PRs, understand codebases and accelerate contributions to open source projects.
Agent autonomously decomposes complex tasks into subtasks, plans execution order, creates artifacts and reports progress. Works overnight on mini-projects.
AI agent autonomously develops games: from concept and design document to code, assets and testing. Supports iterative development with feedback.
Team of multiple AI agents with different specializations: backend developer, frontend, tester, DevOps, code reviewer. Work collaboratively on a project.
AI helps manage server configurations, check security, track vulnerabilities and generate policies.
AI control over server infrastructure: auto-scaling, resource optimization, predictive maintenance.
AI monitors servers, networks and applications. Smart alerts, anomaly analysis, automatic problem resolution.
Collection of step-by-step guides for initial AI tools setup for DevOps and infrastructure.
Deploying AI assistant on Raspberry Pi for local use. Lightweight models, offline mode.
AI agent integration with n8n for complex workflow orchestration. Agent creates, modifies and runs n8n workflows via API.
AI agent monitors home server, automatically detects and fixes issues: service restarts, disk cleanup, certificate renewal, backup restoration.
AI controls smart home devices: lighting, climate, security. Integration with Home Assistant and Apple HomeKit.
AI assists in radio project development, SDR, signal analysis and antenna design.
AI controls Google Home and Chromecast devices: voice commands, routine automation, multi-room.
Control your 3D printer via chat: start prints, monitor progress, adjust settings, receive alerts.
Control deployments and infrastructure right from Apple Watch. Alerts, status, quick actions.
AI vision through Ray-Ban Meta glasses: object recognition, real-time text translation, navigation.
AI manages connected car features: remote start, climate control, diagnostics, routes.
AI monitors your crypto portfolio: price movement alerts, rebalancing, risk analysis and P&L.
AI monitors market data, technical indicators and signals from multiple sources. Aggregates, filters and evaluates trading opportunities with risk management.
Agent monitors financial reports, press releases and product updates from leading AI companies. Creates comparative reports and tracks industry trends.
AI builds a personal knowledge base with RAG (Retrieval-Augmented Generation): indexes your notes, books, articles and answers questions with source citations.
AI conducts market research: competitor analysis, niche discovery, demand assessment, product idea generation and validation, MVP plan creation.
AI helps validate business ideas before investing development time: market analysis, analog search, technical complexity assessment, viability forecast.
Semantic search across all AI agent interaction history: find past conversations, decisions and context by meaning, not just keywords.