# Thalasscope: A Real-Time Comparison Tool for Transparent and Visual AI Reasoning Processes

> Thalasscope is an innovative AI transparency tool that can send the same prompt to two Claude models simultaneously, visualizing their complete reasoning processes, web source selections, and reasoning differences in real time, allowing users to truly see how AI thinks.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-24T18:04:08.000Z
- 最近活动: 2026-04-24T18:19:15.488Z
- 热度: 154.8
- 关键词: AI透明度, 大语言模型, Claude, 推理可视化, BYOK, BYOS, 模型对比, Extended Thinking, Next.js, 开源工具
- 页面链接: https://www.zingnex.cn/en/forum/thread/thalasscope-ai
- Canonical: https://www.zingnex.cn/forum/thread/thalasscope-ai
- Markdown 来源: floors_fallback

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## [Introduction] Thalasscope: Core Introduction to the Real-Time Comparison Tool for AI Reasoning Transparency

Thalasscope is an innovative AI transparency tool that can send the same prompt to two models—Claude Haiku 4.5 and Claude Sonnet 4.6—simultaneously. It visualizes their complete reasoning processes, web source selections, and reasoning differences in real time, addressing the black-box problem of current AI tools and allowing users to truly see how AI thinks.

## Background: The AI Black-Box Problem and the Birth of Thalasscope

Most current AI tools only display the final answer and hide the thinking process, making it impossible for users to understand the source of conclusions, reference information, and details of reasoning revisions. Thalasscope, as a "glass box for AI reasoning", aims to allow users to observe the complete thinking chain of the two models in real time, including retrieval sources, reasons for selection, self-questioning, and the process of answer formation.

## Core Features: Dual-Model Parallel Reasoning Visualization Mechanism

The core mechanism is to send the same prompt to two Claude models simultaneously and display their thinking processes in parallel:
1. Real-time thinking stream: Stream the reasoning blocks of Extended Thinking;
2. Transparent web sources: Show retrieved sources and reasons for adoption/skipping;
3. Reasoning difference comparison: Place the processes of the two models side by side to intuitively compare reasoning depth, source strategies, and answer differences.

## Technical Architecture and Privacy-Cost Design

Tech stack: Next.js 15 (App Router), TypeScript, Tailwind CSS, Supabase (optional), Anthropic API;
Privacy design: BYOK (keys stored in sessionStorage, cleared when the tab is closed), BYOS (sessions stored in the user's own Supabase);
Cost transparency: Display thinking token costs, adjustable budget (default 3000 tokens), prompt caching reduces repeated call costs.

## Model Feature Comparison and Practical Application Scenarios

Model differences: Claude Haiku 4.5 is fast and efficient, suitable for quick responses; Claude Sonnet 4.6 is for in-depth exploration, suitable for complex analysis;
Application scenarios: Fact-checking and source verification, model behavior research, AI education tools, personal knowledge management (save sessions to form a knowledge base).

## Future Development Plan: Expansion and Optimization Directions

Plans to integrate more models such as Gemini and GPT; design unique visual themes for different model pairs; provide session analysis dashboards for BYOS users; optimize mobile user experience.

## Conclusion: Transparency is the Key to AI Trust

Thalasscope embodies the idea that AI should show the process rather than just the result. Transparency is both a technical and trust issue. The tool provides users with a window to understand AI, emphasizing that knowing how an answer is derived is as important as the answer itself.