FEATURE · DECISION SUITE

C-suite Decision Agents

Designed for the AI-native organization.

Turn the CEO's strategic judgment, the CMO's brand judgment, and the CFO's investment-research judgment each into a researchable, scorable, reviewable pipeline.

As an organization hands more and more of its day-to-day operation over to agents, its top-level judgment should grow on the same traceable foundation—rather than keep running on "gut feeling". The leadership layer makes high-stakes judgments every day: invest or not, strong or not, worth it or not. The three products here use one shared methodology to turn the most core class of judgment for CEO / CMO / CFO from "guesswork" into a traceable, scorable, reviewable pipeline. Three seats, one skeleton.

Boss · CEO MBA Brand · CMO OAF · CFO

Three seats

Designed for CEO Chief Executive Officer · Strategy OS ≈ 87,943 lines of code

Boss

A strategic OS for the CEO—hand your important judgments to a multi-juror deliberation that is citable, scorable, and falsifiable, with 30/90/365-day attribution checks

Decision scenario: Strategic questions, investment decisions, organizational and personnel judgment.
Hand the calls worth making over to a panel first—1 anchoring opinion + N dimension-specific judges scoring independently, each required to argue the counter-case.

A panel deliberates independently, no single-point call
30 / 90 / 365-day attribution checks
Immutable versioned snapshots of each verdict

Project details → Visit bossagent.cc →

Designed for CMO Chief Marketing Officer · Brand Decisions ≈ 22,311 lines of code

MBA Brand

Turn brand influence into a monitorable / scorable / reviewable intelligent asset—43-juror deliberation with sentiment-driven versioned re-audits

Decision scenario: Brand direction, market positioning, competitive and growth judgment.
Break "is this brand actually strong" into 7-dimension research + multi-judge scoring, quantified into traceable, reviewable scores.

7-dimension parallel research × 43 judges scoring
Versioned reports + sentiment-driven re-review
Every conclusion attributable back to evidence

Project details → Visit mbabrand.com →

Designed for CFO Chief Financial Officer · Investment Research ≈ 83,831 lines of code

OAF

A satellite-internet decision agent + an AI investment-research workbench for the US / A-share / HK markets—numbers come from tools, narrative from the model, gaps left blank not fabricated

Decision scenario: Target research, valuation judgment, sector and portfolio allocation.
Give the numbers of investment research to deterministic tools, the narrative to the LLM, and leave gaps blank rather than fabricate.

Real quotes and filings across US / A-share / HK markets
Long-short debate + two-stage DCF valuation
Numbers come from tools; missing data left blank, never fabricated

Project details → Visit oaf.world →

One shared methodology

The three products face different functions, but underneath they share one "no guesswork" skeleton. That's why they form a suite rather than three isolated tools.

Multi-perspective deliberation, no single-point call

A group of judges, each holding a stance, scores independently and must argue the counter-case—replacing one person's intuition and blind spots.

Scorable, falsifiable

Every conclusion carries a score and a falsifiable point, not a vague "I think it's pretty good".

Versioned + attribution checks

Each judgment is timestamped and snapshotted immutably, so you can come back at maturity and verify whether it was right.

Anti-fabrication

Only public first-hand / real data; if it can't be obtained it's marked N/A and left blank—never fabricated for you.

Read by humans and machines

The output is both a report for people and an MCP / API for agents to call.

One shared skeleton

All three functions share the research → deliberation → scoring → attribution pipeline; only the judges and data sources change.

Which seat to start with

Pick the class of judgment closest to you and run it end to end on the matching site.

The story behind this mark: Logo & Brand → ·　Design essay: The C-suite of the AI-native organization →