Personalized Recommendations

AI-powered sentiment analysis agent that analyzes customer feedback, reviews, social mentions, and brand perception. Includes 6 specialized tools: Review Sentiment Analyzer - Calculates sentiment distribution, NPS scores, keyword frequency from review data Social Mention Tracker - Searches and analyzes brand mentions across web and social platforms Feedback Categorizer - Categorizes feedback by theme (product, service, pricing, UX, support) Emotion Detector - Identifies frustration, enthusiasm, confusion, urgency signals with intensity scoring Competitive Sentiment Comparison - Head-to-head brand sentiment comparison with strategic insights Sentiment Trend Reporter - Time-series sentiment analysis with inflection point detection Perfect for product teams, customer experience leaders, and marketing professionals who need data-driven sentiment insights.

AI-powered support ticket classification and operations agent. Classifies tickets into categories (billing, technical, account, feature request, bug) using keyword rules + LLM refinement. Assigns P1-P4 priority with SLA tracking based on urgency signals and customer tier. Evaluates escalation criteria (sentiment, VIP status, repeated contacts) and generates playbooks. Analyzes ticket volume metrics for staffing and process recommendations. Generates brand-appropriate response templates. Researches latest support best practices and tools via web search. Built with Python data processing, JavaScript analytics, Google search, and LLM intelligence across 6 specialized tools.

Expert email marketing agent that analyzes campaign performance, optimizes subject lines, segments audiences, writes high-converting email copy, plans statistically valid A/B tests, and researches the latest email marketing best practices. Features Python-powered analytics for metrics calculation, scoring algorithms, sample size calculations, and web research for current trends. Tailored to your business context for actionable, data-driven recommendations.

Your Natural Language Interface to Pylon Support The Pylon Assistant transforms how you manage customer support. Instead of navigating the Pylon UI for every action, simply describe what you need in plain English. Key Features Full Pylon API Coverage - Manage issues, accounts, contacts, teams, tags, knowledge base articles, and more through natural conversation Multi-Channel Replies - Reply to customers via Slack, Email, or In-App Chat with correct routing handled automatically Smart Write Guardrails - The agent always asks for explicit confirmation before deleting or destructive operations Support Memory - Remembers your team IDs, tag conventions, assignee mappings, and workflows across conversations Intelligent Search - Use complex filters to find issues by state, team, priority, date range, tags, and custom fields What You Can Do Search and filter support tickets with natural language queries Reply to customers across Slack, Email, and In-App Chat Create, update, and manage issues with tags, priorities, and assignments Browse accounts and their associated Slack channels Manage contacts, teams, and knowledge base articles Add internal notes and manage issue followers Link external issues from Jira, GitHub, Linear, or Asana Getting Started Generate an API token in Pylon (see how to create an API token) Configure the token in secrets as chains_pylon_api_token Start asking questions or making requests in plain English Tell the agent about your team setup and it will remember for future conversations

AI customer success agent that calculates health scores, analyzes churn risk, generates QBR reports, identifies expansion opportunities, researches CS best practices, and evaluates renewal readiness.

AI SEO blog writer that conducts keyword research, analyzes competitor content, generates content briefs, writes SEO-optimized blog posts, tests headlines, and audits content for search optimization.