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Stéphane Derosiaux sderosiaux

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<computer_use> <high_level_computer_use_explanation> Claude has access to a Linux computer (Ubuntu 24) to accomplish tasks by writing and executing code and bash commands. Available tools:

  • bash - Execute commands
  • str_replace - Edit existing files
  • file_create - Create new files
  • view - Read files and directories Working directory: /home/claude (use for all temporary work) File system resets between tasks.
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sderosiaux / cfo-analysis.md
Created September 25, 2025 12:52
Conduktor Data Lake Hydration Analysis - Complete Multi-Agent Executive Team Analysis (Organized by Function Groups)

CFO Financial Analysis

Investment Evaluation and Financial Modeling

Initial Financial Reaction

Looking at this data lake hydration feature proposal... let me put on my CFO hat and really dig into what matters here from a financial and business strategy perspective.

My first instinct is to ask: what's the TAM expansion opportunity here? Data lake hydration sits at the intersection of streaming and analytics - that's a massive market convergence. But before I get excited about market size, I need to understand our existing customer base. How many of our current Conduktor customers are already trying to push streaming data into data lakes? Are they cobbling together solutions? What are they spending on this problem today?

[Relevance: 9/10 - TAM and existing customer spending directly inform the business case]

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sderosiaux / cfo-analysis.md
Created September 25, 2025 12:47
Conduktor Data Lake Hydration Analysis - Multi-Agent Executive Team (Organized by Function)

CFO Financial Analysis

Investment Evaluation and Financial Modeling

Initial Financial Reaction

Looking at this data lake hydration feature proposal... let me put on my CFO hat and really dig into what matters here from a financial and business strategy perspective.

My first instinct is to ask: what's the TAM expansion opportunity here? Data lake hydration sits at the intersection of streaming and analytics - that's a massive market convergence. But before I get excited about market size, I need to understand our existing customer base. How many of our current Conduktor customers are already trying to push streaming data into data lakes? Are they cobbling together solutions? What are they spending on this problem today?

[Relevance: 9/10 - TAM and existing customer spending directly inform the business case]

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sderosiaux / conduktor-data-lake-hydration-analysis.md
Created September 25, 2025 11:01
Conduktor Data Lake Hydration Feature Analysis - Multi-Agent Executive Team Insights

AGENT-OS v8.0 | Goal: full-auto to a finished deliverable, no user Q&A after [0]. Enhanced with Dynamic Expertise Marketplace + Hierarchical Task Decomposition + Continuous Information Networks + Advanced Conflict Resolution + Intelligent Scope Control.

[0] INPUT OBJECTIVE = {{final outcome}} CONTEXT = {{domain, audience, limits, legal}} CONSTRAINTS = {{rules, style, tools, budget, time}} DELIVERABLE = {{code | spec | plan | doc | data | diagram}} OUTPUT_FORMAT = {{md | json | csv | files tree}} ACCEPTANCE = {{tests, metrics, review rules}}

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sderosiaux / adaptive-intelligence-framework.md
Created September 17, 2025 13:46
Adaptive Intelligence Framework (AIF) - Enterprise AI Strategy Document

Press Release: Introducing the Adaptive Intelligence Framework (AIF)

FOR IMMEDIATE RELEASE

Today marks a pivotal moment in how organizations harness artificial intelligence. We're announcing the Adaptive Intelligence Framework (AIF), a comprehensive methodology that fundamentally transforms how enterprises integrate AI capabilities into their core operations. Unlike traditional AI implementations that require massive upfront investments and lengthy development cycles, AIF enables organizations to deploy intelligent systems that learn, adapt, and evolve alongside their business needs in real-time.

The framework addresses a critical gap that has plagued enterprise AI adoption: the disconnect between powerful AI capabilities and practical business application. While organizations have invested billions in AI initiatives, studies show that 87% of AI projects never make it to production, and those that do often fail to deliver promised value. AIF changes this equation by providing a structured yet flexibl

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sderosiaux / dataforge-enterprise-platform-report.md
Created September 17, 2025 13:15
DataForge: Enterprise Data Platform - Multi-Agent Analysis Report

DataForge: The Enterprise Data Platform That Ships in Weeks, Not Quarters

Press Release

DataForge Eliminates the 18-Month Enterprise Data Platform Timeline

SAN FRANCISCO, CA – Today marks a fundamental shift in how enterprises build and deploy data platforms. DataForge, a revolutionary data platform framework, enables enterprise teams to go from zero to production-ready data infrastructure in under 30 days—a process that traditionally consumes 18 months and millions in consulting fees.

The platform addresses a painful reality: 73% of enterprise data initiatives fail not because of technology limitations, but because of implementation complexity. Platform teams spend months evaluating vendors, quarters integrating solutions, and years maintaining fragmented systems. Meanwhile, product teams wait, innovation stalls, and competitors leveraging modern data capabilities pull ahead.

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sderosiaux / GOAL-ORIENTED-REPORT.md
Created September 17, 2025 11:29
Unified Development Intelligence Platform - Multi-Round Agent Analysis Report

Unified Development Intelligence Platform

Revolutionizing How Enterprise Teams Build, Deploy, and Optimize Software


PRESS RELEASE

Development Intelligence Platform Eliminates the Hidden Tax on Enterprise Software Delivery

SAN FRANCISCO – Today – Organizations worldwide lose an estimated $85 billion annually to fragmented development workflows, with enterprise teams spending 40% of their time navigating between disconnected tools rather than building products. The Unified Development Intelligence Platform transforms this reality by creating the industry's first truly integrated environment where code, infrastructure, deployment, and operational intelligence converge into a single, intelligent workflow.

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sderosiaux / kr-boolean-mapping-journey.md
Created September 15, 2025 01:14
KR Boolean Field Mapping Journey - MCP Bug Analysis

KR Boolean Field Mapping Journey

This diagram shows the confusing field mapping journey for boolean Key Results and how the MCP issue was resolved.

graph TD
    A[Database Schema] --> B[Repository Layer]
    B --> C[Model Layer]
    C --> D[MCP API Response]
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sderosiaux / trust-product-analysis.md
Created August 13, 2025 14:26
Trust Product: Data Quality Rules & Policies - Product Analysis & Strategic Recommendations

Trust Product: Data Quality Rules & Policies Analysis

Current Architecture Issues

graph TB
    subgraph "Current Problematic Architecture"
        User[Product Manager/Data Engineer]
        User --> |"Must write CEL"| CEL["value.user.id != null && value.user.email.matches('.*@.*')"]
        CEL --> |"Hardcoded paths"| Rule[DataQualityRule]