HARPA AI Browser Agent | ChatGPT, Claude, Gemini, Perplexity

What

HARPA AI Browser Agent is a browser-based AI assistant that combines page-aware prompting, web automation, and access to multiple large language models in one interface. It is designed for professionals who work inside the browser and need help summarizing content, drafting text, extracting information, monitoring websites, and automating repetitive online tasks.

The product appears positioned as an all-in-one browser productivity layer for research, writing, SEO, email, learning, recruiting, and data collection workflows. Its core workflow is to let users invoke AI directly on any web page, use page context to generate or transform content, and optionally automate browser actions such as navigation, scraping, clicking, form filling, and change detection.

Features

• Multi-model AI access in the browser: HARPA provides access to models including GPT, Claude, Gemini, DeepSeek, Perplexity, and Llama, which helps users compare outputs or choose a model suited to a given task.
• Page-aware summarization and question answering: It can summarize YouTube videos, blogs, and PDFs, extract key takeaways, answer questions about page content, and jump to relevant timestamps for video review.
• Search-side answer engine with citations: HARPA can scan websites and present answers alongside Google Search results with source citations, which is intended to improve traceability versus unsupported AI responses.
• Email and writing assistance: The product categorizes emails, summarizes long threads, drafts replies, and generates content such as articles, cover letters, and social posts, including outputs that aim to match the user’s writing style.
• Browser automation and web scraping: HARPA can navigate sites, click buttons, fill forms, extract data, monitor page changes, and trigger external automation workflows through tools like Zapier, Make.com, and n8n.
• Prompt library and keyboard shortcuts: It includes 100+ ready-made automations and inline shortcuts for tasks such as finishing drafts, grammar correction, rephrasing, translation, search, and explanation.

Helpful Tips

• Validate model-specific outputs for high-stakes work: Since the product supports many models, teams should define which model to use for drafting, research, extraction, or analysis based on accuracy and consistency in their own workflows.
• Start with narrow, repeatable browser tasks: HARPA is likely to show the fastest operational value in structured tasks such as inbox triage, webpage monitoring, lead extraction, and page summarization before expanding to broader automation.
• Review privacy requirements carefully: The site states that HARPA supports local models, does not log conversations and actions, and is GDPR compliant; buyers should still confirm deployment, data flow, and policy details against their internal requirements.
• Create standardized prompts for team use: Because the product includes reusable prompts and custom agents, teams can reduce output variability by documenting approved prompt templates for SEO, support, research, or recruiting tasks.
• Assess complexity before full rollout: The breadth of features is a strength, but it may also increase onboarding needs, so a phased implementation with a small set of high-frequency use cases is likely the most practical approach.