User Experience of Index_Plugin: Prompt and Precise

The main speed bottlenecks are from tool design, remote deployment, snowflake/API latency, and how much data the MCP server returns. Tool ambiguity: if tool names/docs are unclear, the aagent spends extra turns choosing tools, validating results, or calling exploratory tools like run_sql_query. Reponses verbosity: returning both final IDs and full audit detail every time makes … Continue reading User Experience of Index_Plugin: Prompt and Precise

First Principle: Achieve Crystal Clarity About Reality

As I grow older, I increasingly believe that the difference between people who live wise and prosperous lives and those who do not comes down to one thing: how many fundamental truths they have discovered, truly understood, and consistently acted upon. Knowledge alone is not enough. Many people encounter truth, but few believe in it … Continue reading First Principle: Achieve Crystal Clarity About Reality

How FinTech Store and Process Their Data

No vendor uses plain SQL as the primary interface for terminal users — they all have proprietary query languages optimized for financial workflows. Behind the scenes, they may use SQL databases, Hadoop, or columnar stores (e.g., kdb+, Arctic, Parquet) internally for storage and processing, then expose data through their own APIs. Bloomberg is the most "closed" — almost everything stays … Continue reading How FinTech Store and Process Their Data

The Future of Indexing Is Not Benchmarking — It’s ETF Commercialization

Most people think index providers sell benchmarks. They don’t. The real business is: ETF product creation thematic intelligence commercialization speed distribution enablement institutional trust Legacy firms like S&P, MSCI, and FTSE win with brand and scale. Newer players like Solactive and Indxx win with: speed customization flexibility lower pricing faster product launches AI shifts the … Continue reading The Future of Indexing Is Not Benchmarking — It’s ETF Commercialization

AI-powered, Proactive ETF Ideation Partner

AI-generated quarterly opportunity reports. Every quarter, generate this report for each client: market gaps trending themes competitive whitespace ETF flow anomalies issuer comparison underrepresented exposures AI relationship memory system. Institutional sales teams forget things constantly. AI should remember below and then suggest: best next action, best timing, likely objections and likely internal champions. This becomes … Continue reading AI-powered, Proactive ETF Ideation Partner

Claude agents –json to list live Claude sessions as JSON for scripting

Claude Code added this new feature: claude agents --json` to list live Claude sessions as JSON for scripting. But it's so abstract, what does it mean and how I can utilize it to better my workflow? What claude agents --json Does It outputs all your active Claude sessions in JSON format, making it easy to: … Continue reading Claude agents –json to list live Claude sessions as JSON for scripting