A New Multi-Agent Engine for the Competitive Intelligence Platform

In the previous blog, I introduced the first version of the Competitive Intelligence Platform, an AI-powered tool designed to automate market research.

Today, I’m excited to share the first major evolution of the platform. This update is about the core analysis engine, designed to deliver a new level of accuracy, depth, and transparency.

what's new:

Introducing a Specialized, 5-Stage Analysis Pipeline

The most significant upgrade lies in how intelligence is gathered and processed. The system has moved from a single-prompt model to a sophisticated multi-agent pipeline, where each agent is a specialist with a dedicated role. This structured workflow mimics how a professional human research team operates, ensuring a more robust and reliable outcome.

The new pipeline includes:

1. The Campaign Architect: This agent serves as the strategist. It interprets your initial business brief and formulates a structured, machine-readable discovery plan, defining precise keywords, search vectors, and market descriptors.
2. The Discovery Agent: Acting as the primary researcher, this agent executes the discovery plan, conducting exhaustive searches to gather a wide set of raw data on potential competitors.
3. The Filtration Agent: This is the quality control specialist. It meticulously sifts through all discovered results, validating URLs and filtering out irrelevant noise like news articles, directories, and blogs to identify true competitor domains.
4. The Analyst Agent: A team of these agents is deployed to conduct a deep-dive analysis on each validated competitor. This includes advanced content fetching from both static and dynamic JavaScript-heavy sites, as well as extracting text from PDF documents.
5. The Chief Strategist: The final agent in the chain. It synthesizes the structured data from all individual analyses into a single, cohesive, and professionally structured report, complete with an executive summary, market-level insights, and strategic recommendations.

This division allows each agent to perform its task with greater focus and precision, leading to a final report that is significantly more comprehensive and insightful.

A Redesigned Real-Time Workflow

Understanding what the system is doing is crucial for building trust. To that end, the user interface has been redesigned to provide full transparency into the analysis process.

Once you initiate a report, a new real-time status dashboard appears, visualizing the agent's progress through the five-stage pipeline.

You can now see exactly what the system is working on, from "Filtering competitor candidates" to "Analyzing competitor data", giving you a clear estimate of completion time.

Actionable & Downloadable Reports

The ultimate goal of this platform is to produce an asset you can use immediately. The final output has been upgraded to match this standard. Reports are now rendered in a clean, readable format directly in the UI and can be instantly downloaded as a professionally formatted PDF.

This new reporting module ensures the intelligence you receive is not only insightful but also presentation-ready.

A full page screenshot of the Output.

Downloadable PDF Report

Competitive Analysis of cybersecurity firm Report
Competitive Analysis of fintech startup Report
Competitive Analysis of EdTech platform Report

An Invitation to Collaborate

My roadmap is still filled with features I'm excited to build. As a solo developer, direct feedback from potential users is the single most valuable resource I have. It ensures I'm building a tool that solves real-world problems.

If this project interests you, I would be grateful for your thoughts:

• What key data points are missing from the final report for your use case?
• Are there specific industries where a tool like this would be a game-changer?
• What is the single most important feature you would want to see next?

Get in touch and follow the journey:

• X: For updates, discussions, and to follow the daily progress, you can find me at theweekenddev0
• Via Email: For more detailed feedback, suggestions, or to discuss a specific use case, please feel free to reach out at [e-mail]

Thank you for following along.