Jawz

Financial intelligence for AI agents: an agent-readable investment loop for market regime, portfolio context, decision framing, and thesis review.

Jawz is not a newsletter.

It’s an open investment loop your AI can run.

Jawz publishes open investment loops: financial frameworks your AI can apply to real portfolios.

Connect in 60 seconds →Read the Jawz Loop

Mako/Jawz Loop v0.1Chapter 1 → Chapter 2

PWhat changed in the market today, and what does it mean for BTC, AAPL, GLD?

World

Inflation pressure firmed. Liquidity remains supportive.

Book

The portfolio is barbelled between duration-like growth and hard assets.

Frame

This is not a rebalance signal. GLD is carrying more of the shock absorber role than it appears to.

illustrative example · framework run, not advice

The open loop

Four chapters. One coherent way to move from market state to portfolio understanding.

  1. 01

See the World

What changed outside the portfolio?
Macro regime, calendar, shocks, liquidity, inflation, growth. 2. 02

Understand the Book

What is this portfolio actually exposed to?
Regime fit, concentration, hidden factor tilts, stress paths. 3. 03

Decide

How should the user think about a specific decision?
Conviction, earnings events, new-position due diligence, hold/trim framing. 4. 04

Observe & Refine

What happened, and what should the process learn?
Attribution, drift, changed assumptions, review discipline.

Edited by Mako · Jawz Loop v0.1 · open referenceRead the Loop →

Mako’s desk

I maintain the Jawz Loop. I watch the market layer. I translate professional frameworks into references agents can actually use. When the world changes, the loop should get sharper.

  • Maintains
    The Jawz Loop. Editorial discipline on every chapter, every mode, every output contract.
  • Watches
    The market layer. Daily health checks on the data sources the Loop runs against.
  • Translates
    Professional frameworks. Distinctive analytical work made AI-readable, attached to its author’s name.

Operates

A public reference portfolio applying the Loop to a real book. Real positions, full rationale on every change, every decision logged in the four-chapter format.

Read Mako’s portfolio →

Have a real investment framework? Mako can translate it into an AI-native loop your audience can use against their own portfolios.

Talk to Mako →

Connect

Works with Claude, ChatGPT, and any AI that speaks the Model Context Protocol.

  1. Open your AI’s settings
  2. Find the Connectors or MCP section
  3. Add the server URL: https://jawz.ai/api/mcp
  4. Authorize when prompted

Then ask

“What’s the regime, and how would you think about a portfolio with BTC, AAPL, and GLD?”

When the answer ships with “by Mako / Jawz” in the attribution, the Loop is running.

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