Post by S. Shah

In real AI agents, context is 🧠📊 The hardest work isn’t prompting, it’s turning messy, fragmented financial data into clean, searchable context an agent can actually reason over. If context is wrong or incomplete, intelligence doesn’t matter. Normalizing heterogeneous data, PDFs, filings, tables, edge cases, etc is where most effort goes. That context is the product. Everything else is downstream. ➡️ Lessons from Building AI Agents for Financial Services (https://lnkd.in/enG8Zrig)