TL;DR
Thorsten Meyer AI has released Outcome-First Decisions v1.1.0, an AGPL-3.0 open-source skill for AI agents. The tool is designed to turn uncertain business ideas into a verdict, a one-week proof test, and three same-day actions.
Thorsten Meyer AI has introduced Outcome-First Decisions v1.1.0, an AGPL-3.0 open-source skill for AI agents that is meant to help operators test business decisions before committing months of work or larger spending.
The project is described as a decision-support skill, not a standalone app. According to the source material, users install it into AI-agent environments including Claude Code, Codex/OpenAI, and Cursor.
The skill is built around four required inputs: a named buyer, one scoreboard number, a same-week proof test, and a written kill line. If one is missing, the system is designed to ask a narrower question rather than approve the plan.
Its output is framed in plain-language verdicts: worth doing, test first, change, defer, or drop. The source says the goal is to replace broad planning with a smaller test that can confirm whether a buyer will act.
The Friction Is the Feature
Most tools help you do more. This one helps you do less — and proves the “less” is the part that earns. It turns a fuzzy decision into a verdict, a one-week proof test, and three actions for today.
Missing one? It doesn’t cheer you forward — it asks the smallest question that fills the gap. When the evidence is an opinion, the answer is “test first,” not a 12-week plan. That’s $250 to learn the truth instead of three months.
A click is not a customer. A “great idea” is not revenue. The skill reads where your evidence sits and designs the cheapest test that moves you up exactly one rung.
So your next “80%” gets discounted accordingly — and the rungs you habitually skip get flagged. You’re not just deciding; you’re building a calibrated instrument out of your own track record.
- Triggered by runway, missed payroll, a lost biggest customer.
- A one-line verdict and three actions with hour-level deadlines.
- The dollar number below which the business closes.
- Scoring tables and framework talk disappear — busywork in an emergency.
- Every active bet with its evidence rung, capacity cost, and kill date.
- At most two unproven bets at once. No bet without a kill date.
- Killed capacity reallocated by name, not vaguely “freed up.”
- Numbers carry provenance — no verdict rides on a half-remembered figure.
mkdir -p ~/.claude/skills && unzip outcome-first-decisions.zip -d ~/.claude/skills/
The honest tradeoff: it will not flatter you. Thin evidence, it says so; an idea that should die, it says so plainly. If you want reassurance, it’s the wrong tool. If you want fewer, better-aimed bets and a verdict you can defend — the friction is the feature.
Independent commentary, produced with AI assistance under human editorial oversight. The views are the author’s own and may change. Outcome-First Decisions is a decision-support tool, not business, financial, legal, or investment advice; its verdicts are one input to your own judgment, not a guarantee of outcomes, and dollar figures are illustrative. Software provided under its stated open-source licence, as-is, without warranty. Product, model, and company names are trademarks of their respective owners; mention does not imply endorsement.
Fewer Bets, Faster Proof
The release matters for founders, operators, and small teams because it targets a common risk: plausible ideas that absorb a quarter before anyone verifies buyer demand. The tool’s stated value is forcing a decision to pass through evidence before more time is spent.
The source presents the skill as a counterweight to productivity tools that help users do more. Outcome-First Decisions instead pushes users toward doing less, but with a clearer proof standard and a named cost for continuing or stopping.
AI decision support software
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Evidence Before Enthusiasm
The project uses a Buyer Evidence Ladder, described as moving from opinion toward repeat purchase. The source says the skill reads the current rung and designs the cheapest test intended to move the decision up one level.
It also includes features for repeat use. After more than 10 decisions in a category, the source says the skill can compare a user’s claimed confidence with their actual hit rate and flag evidence steps they often skip.
The material also describes a Crisis Mode for short-runway situations and a Portfolio Command Deck for active bets, including evidence rung, capacity cost, and kill date.
business decision testing tools
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Adoption Still Unproven
It is not yet clear how widely Outcome-First Decisions has been installed, how many users are applying it in live business decisions, or whether its tests improve outcomes compared with existing decision frameworks.
The source also states that the tool is not business, financial, legal, or investment advice. Its verdicts are described as one input for user judgment, and the listed dollar figures are presented as illustrative.
proof of concept testing software
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Testing Moves To Users
The next step is user adoption and field use. Operators who install the v1.1.0 skill can apply it to active decisions, log verdicts, and compare later results with their stated confidence.
Future evidence will depend on whether users share examples showing that the tool helped them stop weak bets earlier, run cheaper tests, or reallocate capacity with a clearer record.
AI-powered decision verdict tool
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Key Questions
What is Outcome-First Decisions?
Outcome-First Decisions is an open-source AI-agent skill from Thorsten Meyer AI that turns a fuzzy business decision into a verdict, a short proof test, and immediate actions.
Is it a standalone app?
No. The source describes it as a skill installed into AI agents, with compatibility listed for Claude Code, Codex/OpenAI, and Cursor.
What information does the skill require?
It asks for a named buyer, one scoreboard number, a test that can run this week, and a written kill line.
What license does it use?
The source lists the project as AGPL-3.0 and labels the current release as v1.1.0.
Does the tool guarantee better business decisions?
No. The source says it is a decision-support tool, not professional advice, and that its verdicts are only one input into the user’s own judgment.
Source: Thorsten Meyer AI
