The Investor's Edge Lives in Their Head — Anekha Sokhal, Moshi
The most valuable context in finance isn't in a database, but in the investor's head. AI should augment human judgment, not replace it, by handling the data grind.
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AIE CODE summit
All digests tagged AIE CODE summit
Why AI Agents Will Need Their Own Bank Accounts — Lincoln Murr, Coinbase
Agentic finance is powered by the HTTP 402 standard (x402), enabling machine-to-machine commerce. The shift from ad-based revenue to microtransactions is redefining online payments.
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How to Know When an AI Agent Can Work Unsupervised — Evan Kormos, Coinbase
Learn how to integrate AI agents into regulated, policy-driven workflows. We model processes using DAGs and DCGs, establishing trust through Evals and Traces.
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Why Buying Companies Beats Selling Them AI — Prathik Naidu, Long Lake
Acquiring established service businesses and transforming them with AI is a superior strategy to selling AI tools externally. This 'inside-out' approach leverages existing trust and deep operational data to achieve true P&L impact.
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Version-Controlled Search: The Web as It Was — Ryan Ahern, Exa
Exa Snapshot enables version-controlled search, allowing agents to search the web as it existed on any past date. This is critical for backtesting predictive signals and preventing model overfitting.
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Backtest Your Agent Against Yesterday's Web — Ryan Ahern, Exa
Exa Snapshot allows users to version-control web search, enabling the backtesting of AI agents and predictive models against the web as it existed on a specific past date. This mitigates look-ahead bias.
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Evals for High-Stakes AI Agents — Doneyli De Jesus & Annabell Schäfer, Langfuse
Learn how to build reliable AI agents for high-stakes environments. We cover the AI Engineering Loop: tracing, dataset curation, and integrating automated evaluation (Evals) into your CI/CD pipeline to prevent regressions.
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