One of the hardest things about trusting AI with financial questions is this:

You usually can’t see how the answer was produced.

Most AI tools give you a polished paragraph of advice — but they hide everything behind it:

• what data the model used
• what assumptions were made
• what calculations were performed
• whether the numbers were validated

That lack of transparency is one of the biggest reasons people hesitate to trust AI financial analysis.

So we built something different.

At Ask Linc, you can click a button called “Show the Math.”

And when you do, you see exactly how the answer was generated.

Why Transparency Matters for AI Financial Advice

Large language models are powerful, but they have a well-known problem:

They can sound extremely confident even when they’re wrong.

In finance, that’s dangerous.

If an AI tells you:

“You can afford this house.”

…or…

“You’re on track to retire.”

You should be able to verify how that conclusion was reached.

The goal of Show the Math is simple:

Turn AI financial advice into something you can audit.

What Happens When You Click “Show the Math”

When Ask Linc answers a financial question, it runs through a structured AI reasoning pipeline.

The Show the Math feature exposes that pipeline.

You can see:

• the full context sent to the AI
• the model’s step-by-step calculations
• validation checks
• the financial data used in the analysis

In other words, you can verify every part of the reasoning process.

Real-Time Transparency While the Answer Is Generated

Transparency starts before the answer even appears.

While Ask Linc is generating a response, you’ll see a live transparency feed showing each step of the pipeline.

As the system runs, it reveals when:

• financial data is loaded
• the AI model receives the prompt
• calculations are performed
• the validation model checks the results

You can literally watch the reasoning pipeline run in real time.

Once the response finishes, the live feed is replaced by the Show the Math button so you can inspect everything afterward.

What You Can Inspect Inside the Transparency Panel

Clicking Show the Math opens a panel with the full reasoning pipeline.

The panel contains several sections.

1. Context Sent to the AI

This shows the exact prompt sent to the AI model, including:

• your financial snapshot
• your financial profile
• current market context
• relevant financial knowledge retrieved via RAG

Seeing this context allows you to verify the inputs used in the analysis.

2. The AI’s Raw Financial Reasoning

Next, you can see the raw response generated by the AI model.

This includes a structured reasoning process with sections such as:

• Data extraction
• Calculation plan
• Calculations
• Interpretation
• Guidance

The Calculations section shows the full step-by-step math used to produce the final answer.

This is the heart of the “Show the Math” feature.

It lets you see exactly how financial numbers were derived.

3. AI Validation

Ask Linc runs a second AI model that checks the analysis for issues such as:

• calculation errors
• logical inconsistencies
• unsupported assumptions

If problems are detected, the analysis is rerun.

This validation step acts like an AI auditor reviewing the financial analysis.

4. The Financial Data Used in the Analysis

The transparency panel also includes the underlying financial records used during analysis.

These may include data from tables such as:

• financial summaries
• account snapshots
• retirement analyses
• market context data
• asset price history

This allows users to verify that the calculations were based on real financial inputs, not invented numbers.

Built for Trust, Not Just Answers

Most AI tools are designed to hide complexity.

Ask Linc takes the opposite approach.

We believe people should be able to:

• see the reasoning behind financial answers
• verify the calculations
• inspect the inputs
• understand the assumptions

That’s why Show the Math exists.

It transforms Ask Linc from a black box into something closer to a transparent financial analysis engine.

The Bigger Goal: Explainable AI for Finance

AI has enormous potential to help people understand their finances.

But for that to work, the system must be:

• transparent
• verifiable
• grounded in real financial data

Features like Show the Math are one step toward making AI financial analysis explainable and trustworthy.

Because when the topic is your money, the answer shouldn’t just sound right.

You should be able to see the math.