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ConsensusMind

3 devlogs
6h 9m 54s

ConsensusMind is a decision-support platform designed to explore complex questions through multiple perspectives rather than a single viewpoint. It simulates how different roles or mindsets—such as risk-focused, impact-focused, cost-focused, and e…

ConsensusMind is a decision-support platform designed to explore complex questions through multiple perspectives rather than a single viewpoint. It simulates how different roles or mindsets—such as risk-focused, impact-focused, cost-focused, and ethics-focused reasoning—analyze the same problem independently.

Instead of producing one final answer immediately, ConsensusMind presents each perspective with clear reasoning, allowing users to understand conflicting priorities and underlying trade-offs. These viewpoints are then synthesized into a balanced consensus outcome that highlights areas of agreement, disagreement, and compromise.

The platform is delivered as a professional web application with a public landing page, secure login, and a user dashboard for submitting scenarios and reviewing past decisions. By structuring reasoning in a transparent and organized way, ConsensusMind helps users make more informed, well-rounded decisions in real-world situations.

This project uses AI

ConsensusMind uses artificial intelligence only to support structured reasoning by generating multiple perspectives on a given scenario. The system does not make autonomous decisions or replace human judgment. All conclusions and actions remain the responsibility of the user, and the project is designed to follow ethical and responsible AI practices.

Demo Repository

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dhanush290707

Shipped this project!

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ConsensusMind has officially reached a functional milestone.

The platform now includes a fully styled professional dashboard with structured multi-perspective analysis across Risk, Impact, Cost-Benefit, and Ethics. Each decision generates independent viewpoints, clear support/oppose classification, confidence scoring, and a synthesized consensus summary highlighting agreements and tensions.

Core aggregation logic is implemented and producing stable outputs. The system now moves beyond concept into a working decision-support product.

Next phase: refining scoring depth, improving persistence/history handling, and optimizing user experience.

dhanush290707

Date: 18 Feb 2026

Today’s progress focused on strengthening both the user experience and the internal reasoning flow of the platform.

🧩 Feature Enhancements

Improved the structure of individual perspective modules to ensure consistent formatting across Risk, Impact, Cost-Benefit, and Ethics analyses.

Enhanced clarity in how supporting and opposing conclusions are displayed.

Added clearer separation between reasoning, final stance, and confidence indicators.

Refined the Synthesized Consensus section to better highlight areas of agreement and points of tension.

🧠 Logic Improvements

Improved decision aggregation logic to ensure balanced synthesis across perspectives.

Refined confidence calculation for more stable outputs.

Improved internal state handling for new decision generation.

The platform now feels more cohesive, structured, and aligned with the goal of transparent multi-perspective reasoning. Next focus: refining user history tracking and improving overall system responsiveness.

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dhanush290707

Date: 18 Feb 2026

Today I focused on improving the overall styling and implementing core parts of the decision logic for ConsensusMind.

🎨 UI & Styling Updates

Completed the dark-themed professional dashboard layout.

Refined the navigation bar (Dashboard, New Decision, History, Profile, Logout).

Styled individual perspective cards (Risk, Impact, Cost-Benefit, Ethics) with clear visual separation and color coding.

Added confidence bars and support/oppose indicators for better clarity.

Designed the Synthesized Consensus section with structured agreement and tension areas.

⚙️ Logic Implementation

Implemented structured generation of four distinct perspectives.

Added support/oppose classification logic.

Built basic confidence scoring mechanism.

Implemented consensus synthesis logic combining all viewpoints.

The system now successfully generates multiple structured analyses and produces a combined consensus with confidence scoring. Next steps include refining the scoring model, improving edge-case handling, and enhancing history storage.

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dhanush290707

Worked on the index.css and index.html, probably most of the structure is complete, it’s time to cook.

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