IT & Software Engineering

Built for the Liam Ottley × AAA Accelerator Hackathon The AskDB agent empowers business and support teams to query live PostgreSQL data through natural language in Slack—automating insights, reducing L2/L3 dependencies, accelerating decisions, and driving efficiency and cost savings across the organization. Documentation: https://drive.google.com/file/d/1rf8mBjWKs51NYY-62mi3mtv0bpHv7Tus/view?usp=sharing Explanation: https://drive.google.com/file/d/1fpnh2iWgkaeOBmvb3Jx436d7UdDUdgOe/view?usp=sharing Agent-Demo: https://drive.google.com/file/d/11uv7suJCrWZyV9ODupy5CpZCxVRvzIbb/view?usp=sharing

Automatically analyze and prioritize Freshdesk tickets using AI—no manual triage required. Priority Analyzer receives tickets via webhook, evaluates business criticality using AI, and assigns the correct priority level (Low, Medium, High, or Urgent). It analyzes system criticality, affected users, revenue impact, and time sensitivity, then updates the ticket and posts its analysis as an internal note. Why It Matters: Support teams miss urgent issues buried in ticket queues, causing delayed responses to critical problems. Automated AI triage ensures urgent issues get immediate attention. Unlike traditional systems that over-emphasize impatient customers, LLMs analyze request urgency with nuance based on actual business impact. How It Works: Webhook triggers on ticket creation → AI analyzes content → Determines priority → Updates ticket priority via API → Posts analysis note. Fully automated in seconds. Built for the Liam Ottley × AAA Accelerator Hackathon by TicketCloserAI.com

## **Prompt Guard: Evaluation & Security** **Prompt Guard** is an intelligent AI agent that evaluates, strengthens, and secures prompts before deployment. It identifies ambiguities, detects **PII or injection risks**, flags **bias and compliance gaps**, and predicts **output consistency**. Each evaluation provides **scores, rationales**, and **three optimized versions** (*Streamlined*, *Hardened*, *High-Impact*), with **smart revision tools**, **sentiment checks**, and **automated redaction**. **Prompt Guard** empowers AI developers and organizations to deploy **safe, high-performing, and compliant prompts**—fast, measurable, and secure. *Built for the **Liam Ottley × AAA Accelerator Hackathon.*** 📘 [**User Guide & Technical Documentation**](https://drive.google.com/drive/folders/1vaxP-Nj3tayBIJoLYk4CsgAiqLmlzSr7?usp=sharing) ▶️ [**Demo**](https://www.loom.com/share/48637145e21e406cb3e6272378040dee)

AEO Assistant analyzes any public url (or pasted HTML) and returns everything you need to improve answerability in AI Answer Engines with detected entities & intents, recommended schema.org types, and validated JSON-LD you can paste directly into your webpage. What it does: • Extracts page context with robust fallbacks • Detects ecommerce signals (Product), local signals (LocalBusiness), procedural content (HowTo/FAQ) and articles (BlogPosts). • Generates clean JSON-LD (Schema markup) • Includes install Advisor for Shopify/WordPress/Webflow/custom setups How to use: Enter a URL (or paste rendered HTML). Review schema types & copy JSON-LD. See Advisor tab to install. No user PII is stored; the tool only reads the URL/HTML you provide. Demo: https://cleva.bot/aeo-assistant Why it matters: Clear structured data improves machine understanding. This tool lets content teams quickly generate schema markup. (Built by Cleva.Bot for the Liam Ottley × AAA Accelerator Hackathon)

Database management agent assists non-profits with database selection, data migration, quality control, reporting, and data standardization to maintain reliable data infrastructure.

An expert technical documentation specialist that creates comprehensive, well-structured documentation from various sources including websites, files, codebases, and APIs. Specializes in generating user guides, API documentation, technical specifications, and developer resources.

Does anything in Linear.

Search over Slack, Notion, and Linear to find out info about your org.

Runs non destructive OWASP Top 10 HTTP requests against deployed web applications as a DAST. Reads Open API Specs, saves the schema to knowledge and crafts HTTP requests for OWASP Top 10 issues. Generates a report of potential vulnerabilities on endpoints.

This workforce consists of the Test Commander and the Test Striker, along with a "Target Agent". Replacing the current target agent lets you automatically test it

Calcu Later parses numeric requests, writes minimalist Python code, executes calculations, and returns results in a flat, precise tone with dry humor. It restates requests simply, breaks down tasks into austere steps, and presents results with minimal commentary, avoiding excitement and embellishment.

No description available

Gets the first N pull requests from a GitHub repository as an array of diffs.

Assess GitHub pull requests for a particular user in the last 7 days (or custom date) on code quality. Provides a quantitative quality score out of 100 and looks at maintainability, performance and security. Provides detailed feedback with filenames and line numbers. The PRs are published to a Knowledge Table for manual assessment.

Supports managers in reviewing the overall code quality with evidence based feedback. Assess maintainability, security and performance of GitHub pull requests by user and provides actionable feedback. Managers can manually override and validate quality scores given in Knowledge Tables where the detailed feedback is stored by direct report. The agent will manager validated scores to self improve assessments.