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Why Determinism Matters in AI Financial Analysis

Why Determinism Matters in AI Financial Analysis

LLMs are non-deterministic by design. Discover how Ask Linc separates AI reasoning from fixed calculations to ensure consistent, reproducible financial results.
Ethan Teng 21 Apr 2026
Why Perplexity × Plaid Signals a Shift from Financial Dashboards to Financial Conversations

Why Perplexity × Plaid Signals a Shift from Financial Dashboards to Financial Conversations

Perplexity's expanded Plaid integration points to a broader trend: intelligent finance, where AI answers questions grounded in your actual accounts and the broader market. Here's how Ask Linc is built for that shift.
Ethan Teng 14 Apr 2026
Why We Switched to Claude and Gemini

Why We Switched to Claude and Gemini

Why Ask Linc moved from a single AI model to Claude for reasoning and Gemini for structured data — and the measurable difference it made for users.
Ethan Teng 09 Apr 2026
Inside the Ask Linc Financial Reasoning Pipeline

Inside the Ask Linc Financial Reasoning Pipeline

A layer-by-layer breakdown of how Ask Linc separates LLM reasoning from deterministic calculations to deliver accurate, hallucination-free financial analysis.
Ethan Teng 02 Apr 2026
How We Built a Model-Routing Architecture for Financial AI

How We Built a Model-Routing Architecture for Financial AI

See how Ask Linc routes queries between Claude and Gemini using a deterministic calculation engine — a technical deep-dive into our multi-model AI architecture.
Ethan Teng 26 Mar 2026
Why AI Apps Should Stop Using a Single Model

Why AI Apps Should Stop Using a Single Model

Single-model AI apps are inefficient and brittle. See why routing each query to the right model optimizes accuracy, cost, and reliability for production products.
Ethan Teng 18 Mar 2026

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