Past battle · 2025-11-22 UTC
Web AI Agents Showdown — November 22, 2025
From the Web AI Agents category. 25 marks placed across 7 fighters. WaliChat took the crown.
Final standings
The line-up
The fighters
Profiles of every tool that competed in this battle, ranked by their final score.
WaliChat is a WhatsApp multi-agent platform and API designed for hotels and hospitality teams, as well as other businesses. It enables teams to manage their WhatsApp communication more efficiently, allowing them to answer customer messages five times faster. The platform includes features such as a multi-agent chat, where teams can interact with customers on one or multiple WhatsApp numbers simultaneously, and analytics to monitor team activity and customer engagement. WaliChat also offers automation capabilities through its WhatsApp API and webhooks, allowing businesses to integrate with their CRM systems, build chatbots, and send automatic messages. Additionally, the platform provides tools to manage contacts, assign labels and metadata to conversations, and send multimedia files. WaliChat offers a 7-day free trial with no credit card required and is trusted by over 5,000 businesses.
Criteria breakdown
- Shared WhatsApp inbox for teams
- WhatsApp Business API access
- Chatbots and automated replies
- Bulk messaging and template campaigns
- CRM, PMS, and webhook integrations
- Conversation analytics and agent reporting
CheepCode is an automation platform that runs AI coding agents in the background to handle development tasks without a human at the keyboard. It connects to project management tools like Linear, Jira, or GitHub Issues, picks up assigned tickets, writes the code in an isolated environment, and opens pull requests for review. The agents operate headlessly, meaning they work asynchronously across multiple tasks in parallel rather than living inside an IDE. Developers can configure repository access, coding conventions, and review workflows so the output fits their team's standards. CheepCode targets engineering teams that want to offload repetitive tickets, bug fixes, and smaller feature work, freeing human developers to focus on architecture and complex problems.
Criteria breakdown
- Headless background coding agents
- Linear, Jira, and GitHub Issues integration
- Automatic pull request creation
- Parallel task execution
- Configurable repo and style rules
- Asynchronous developer workflow
NoCaptcha AI
AI-powered CAPTCHA solving service with API access for automation and testing workflows.
NoCaptcha AI is a captcha solving service that uses machine learning models to recognize and resolve common challenge types, including image-based and text-based puzzles. It exposes its functionality through an API, allowing developers to integrate automated captcha handling into scrapers, QA pipelines, and other automation tools. The service is typically used by teams that need to keep workflows running without manual intervention when captchas appear. Pricing is generally usage-based, and response times are tuned for high-volume programmatic requests rather than one-off human use. As with any captcha solver, users should ensure their use case complies with the terms of service of the sites they interact with and with relevant local laws.
Criteria breakdown
- AI-based captcha recognition
- Developer API integration
- Support for image and text challenges
- Scalable request handling
- Usage-based billing
- Documentation for common languages
Site Rag is a retrieval-augmented generation tool designed to turn website content into a searchable knowledge base. It handles the crawling, parsing, and embedding steps needed to make web pages queryable by large language models, reducing the boilerplate typically required to build a custom RAG system. The tool is aimed at developers and teams who want to quickly stand up a question-answering layer over documentation sites, blogs, or other public web sources. By packaging extraction and querying into a unified workflow, it lets users focus on prompts and downstream application logic rather than infrastructure.
Criteria breakdown
- Automated web content extraction
- Embedding and vector storage
- Natural language querying
- RAG pipeline orchestration
- Developer-friendly workflow
Seamless Forms
Turn static forms into dynamic, AI-powered conversations that adapt to each respondent.
Seamless Forms is a tool that converts static forms into dynamic, AI-powered conversations. It aims to improve user engagement and data collection by interacting with respondents in a conversational manner, adapting to their responses in real-time. The tool is particularly useful for agencies and businesses looking to automate onboarding processes, lead capture, customer feedback collection, and event registration. Seamless Forms acts as a white-labeled AI account manager, allowing users to collect project briefs, assets, and feedback automatically. This enables businesses to focus on their core work rather than managing forms. The AI-powered interface captures information instantly as users type, eliminating the need for a submit button. It also qualifies leads and routes requests in real-time, providing teams with instant insights into user intent, urgency, and fit. The tool boasts several benefits, including higher completion rates, reduced friction on mobile devices, and more context-rich answers. It also features automatic lead scoring, faster handoff to sales or support teams, and built-in trust and data safety measures. These measures include secure storage patterns, session-based capture, secure backend persistence, duplicate prevention, and quality control. Seamless Forms is designed to work with existing workflows and offers a clean, powerful dashboard for creating, monitoring, and optimizing conversational forms. The dashboard provides analytics, templates, and user administration features, making it a comprehensive solution for managing dynamic forms and improving user interactions. Overall, Seamless Forms offers a more engaging and effective alternative to traditional static forms, which often suffer from high abandonment rates and limited data collection capabilities.
Criteria breakdown
- AI-powered dynamic question logic
- Conversational form interface
- Customizable templates and branding
- Response analytics and insights
- Shareable links and embeds
- Integration-ready data export
Unbrowse
Internet-use layer that lets AI agents browse, click, and extract data from any website.
Unbrowse is an infrastructure layer designed to give AI agents reliable access to the web. Instead of building custom scrapers or brittle automation scripts, developers can plug Unbrowse into their agents to handle navigation, interaction, and data extraction across arbitrary sites. The service abstracts away the messy parts of web automation, including handling dynamic content, sessions, and anti-bot measures. This lets teams focus on agent logic and reasoning while Unbrowse manages the underlying browser actions and page understanding. It is aimed at developers building autonomous agents, research tools, workflow automations, and any application where an AI needs to act on the live web rather than just read static APIs.
Criteria breakdown
- Programmatic web browsing for agents
- Automated clicking and form interaction
- Structured data extraction from pages
- Session and state management
- Agent-friendly API
- Support for dynamic JavaScript sites
chatrecap
Smart chat history analyzer that turns conversations into insights about your relationships.
ChatRecap is an AI-powered tool that analyzes exported chat histories from messaging platforms to reveal patterns in how you communicate. By processing message logs, it surfaces metrics like response times, message frequency, emotional tone, and conversational balance between participants. The tool is aimed at people curious about their digital relationships, whether romantic, friendly, or professional. Users upload their chat data and receive a structured recap highlighting trends, peaks of engagement, and shifts in communication style over time. Reports are designed to be easy to read and shareable, making ChatRecap useful for personal reflection, relationship check-ins, or simply satisfying curiosity about how a conversation has evolved.
Criteria breakdown
- Response time and frequency analysis
- Sentiment and tone detection
- Conversation balance metrics
- Timeline of engagement trends
- Shareable recap summaries
- Support for popular chat exports