Automates scraping, analyzing, and AI-enhanced redesign of Facebook ad images using OpenAI and Google Drive.

Automatically monitor your vector store removing outdated entries ensuring your RAG context stays lean

AI-powered assistant in n8n that can look up, update, and create Google Contacts using simple natural language.

Scan your video transcript figuring out exactly what videos you should link to, and timestamps it for you.

Syncs events from multiple calendars, detects conflicts, and proposes smart time blocks for optimal productivity.

Plans out virtual event logistics, assigns roles, sends reminders, and ensures all assets are available pre-event.

Scans code submissions for common security flaws and logic errors, with comments generated per GitHub PR.

Processes insurance claim forms to validate completeness, flag inconsistencies, and automate approval steps.

Transcribes and summarizes medical audio dictations, categorizing sections by symptoms, diagnosis, and treatment.

Creates citations in APA, MLA, or Chicago style from unstructured research notes or academic papers.

Turns dense quarterly financial reports into executive-level bullet summaries with optional visual charts.

Parses web pages for metadata and text to identify relevant SEO keywords and outputs a ranking map

Compiles insights from various sources into a clean market landscape, identifying competitors, trends, and whitespace.

Scans contracts for risk clauses, highlights key terms, and generates a summary report with risk scoring for legal teams.

Takes generic job descriptions and enhances them to be inclusive, compelling, and keyword-rich using LLM prompting.

Analyzes resumes, filters out unqualified candidates, and flags high-potential ones based on role-specific requirements.

Routes GitHub issues to the right engineer based on tags, urgency, and component logic using Claude and label prediction.

Uses transcripts of sales calls to identify customer objections, feature mentions, and sales rep performance metrics.

Analyzes qualitative feedback from surveys and categorizes it into themes, sentiment, and urgency for executive reports.

Analyzes qualitative feedback from surveys and categorizes it into themes, sentiment, and urgency for executive reports.

Guides new users through onboarding FAQs using a conversational UI that adapts responses based on user behavior and confusion.

Schedules social posts across platforms based on content calendar and auto-generates captions from blog posts or product pages.

Tracks shipments and order updates, pulling real-time data from fulfillment APIs and updating customers via email or SMS.

Turns meeting transcripts into structured notes, extracts action items, and sends follow-up emails using LangGraph routing.

Responds to common customer queries using historical email context, integrates with Gmail and OpenAI for smart replies.

Generates SEO-optimized product descriptions for e-commerce platforms based on images and technical specifications.

Sends out personalized daily to-do reminders via Slack or email, generated by parsing user calendar and past behavior patterns. *

Analyzes incoming leads from forms or emails to score and qualify prospects based on predefined criteria and engagement signals.

Extract, condense, & highlight key insights from long-form blog posts into social-media-ready summaries using LLM pipeline.

Automatically classify & assign incoming support tickets to the correct department using sentiment analysis & keyword detection

An AI-powered assistant that automates online shopping on Amazon and Walmart.

AI Travel Agent is a production-grade, LangGraph-powered multi-agent system designed to streamline the entire travel planning experience.

A hierarchical multi-agent system where a central supervisor coordinates specialized agents—such as research and math agents—to perform complex tasks efficiently.

Agent Code Reviewer is an AI-powered app built with LangGraph that analyzes and reviews Python code using large language models.