FAFOaaS is the world's first Consequences-as-a-Service platform. We didn't create a category — we noticed the one that has governed every decision since the beginning of time, and put an API on it.
A live feed of consequence events: intents declared, warnings ignored, consequences materialized. All of them, eventually.
Trusted by everyone, eventually
Entropy Partners
The House EST. ALWAYS · UNDEFEATED
Murphy & Associates
Your Past Decisions
Gravity
The Compiler
01The Category
We didn't invent consequences. We productized them.
For all of recorded history, finding out has been fragmented, artisanal, and on-premise. Every family, every team, every founder — running a bespoke consequence stack with no SLAs, no observability, and no correlation IDs.
FAFOaaS unifies the entire causality lifecycle — intent, warning, escalation, consequence, lesson — behind one formally-specified contract. The TAM is every decision ever made. We modeled it in a spreadsheet, and the spreadsheet found out.
Analysts have called the space "inevitable." We agree. That's the product.
02The Platform
Enterprise-grade inevitability, from day zero.
02.1
At-Least-Once™ Delivery
Consequences may arrive more than once. The universe retries. Unlike our competitors, we put this in the contract.
02.2
Zero-Trust Warnings
Warnings are issued with full provenance and ignored universally. heeded: false is enforced at the schema level. That's governance.
02.3
Web-Scale Regret
Consequences are partitioned by actor and never rebalance to someone else, no matter how the group is configured. True multi-tenancy, finally.
02.4
AI-Native Causality
We are AI-native the way gravity is falling-native. Ships with an MCP server so your agents can fuck around programmatically.
02.5
Infinite Retention
The findout log is immutable and retained forever. The internet already remembered — now it's compliant.
02.6
No Staging Environment
We deploy directly to reality. Always have. So do you — we're just the first vendor honest enough to put it in the SLA.
03The Model
Meet CFM‑1. The first Causal Foundation Model.
Trained on every consequence since the Big Bang. Parameters: all of them. Context window: your entire life. Hallucination rate: zero — everything the model predicts eventually happens.
While our competitors fine-tune, we simply waited. The training data came to us. It always does.
FAFO-Bench100%SOTA — every subject eventually found out
Needle in a Haystack100%the needle was consequences all along
MMLU†11/11†Massive Multitask Learning, Unheeded
Alignmenttotalperfectly aligned with reality; reality declined RLHF
BureauGPT · Live inference · $0.00/token — the output was inevitable
BureauGPT is fully deterministic. We removed the neural network when we realized the outcome was never in doubt. Forecasts are final and non-appealable. No tokens were harmed: the output already existed.
04Leadership
The inevitable people behind the inevitability platform.
Every category-defining company begins with a founder story. Ours begins with eight people encountering a classic Silicon Valley failure mode, mistaking it for a market, and correctly identifying themselves as the platform layer.
Cal Voss
Founder & CEO · Category Creation
Cal dropped out of three accelerators and still kept the alumni hoodie. After pivoting from accountability SaaS to regret infrastructure, he discovered that consequences had perfect retention and no meaningful competition.
Passion: naming inevitability before analysts do.
Mara Quill
COO · Operating Model
Mara joined after a consulting engagement proved that most organizations already had consequences, but lacked a dashboard, a steering committee, and an owner who could say “cross-functional” without blinking.
Passion: turning bad decisions into repeatable process.
Dev Iyer
CTO · Causal Foundation Model
Dev trained the first prototype on every incident retro he could find. The model became obsolete when he noticed the answer was always “you were warned,” deleted the neural net, and shipped the deterministic version.
Passion: reducing hallucination by removing choice.
Sloane Pike
CMO · Demand Generation
Sloane once A/B tested remorse and found the control group converted better after finding out. She now owns narrative, lifecycle, and the insight that every funnel is just causality with nicer labels.
Passion: moving users from awareness to acceptance.
Ansel Brook
Chief Platform Officer · Policy
Ansel arrived from the trust-and-safety side of a marketplace where every policy exception became a keynote. He wrote the non-appealable clause, then circled it in brass and called it customer clarity.
Passion: governance that admits what already happened.
Bea Finch
CFO · Patient Capital
Bea built the model that proved the TAM was every decision ever made. When the spreadsheet found out, she revised the round upward, renamed churn “materialization,” and made the board thank her.
Passion: underwriting inevitability at venture scale.
Jules Tran
Head of DevRel · Community
Jules maintained an open-source library long enough to learn that every breaking change is a seminar in consequence delivery. FAFOaaS gave that talk a protocol, a server, and a sticker budget.
Passion: helping agents fuck around responsibly, then subscribe.
Nico Vale
Chief Decentralization Officer · Tokens
Nico put governance on-chain, watched governance become politics with gas fees, and emerged with a conviction: consequences are the only ledger with perfect finality and truly infinite retention.
Passion: making immutability emotionally available.
05Traction
The numbers. Real ones — ask any other deck.
0of 98 injected mutants killed — clients, specs, and servernpm run test:mutation
0of 14 live MCP server conformance checks passingserver.test.ts
0contract-test vectors derived from the spec itselfvectors.json
0generated clients — Go, Python, TypeScript — from one commandnpm run codegen
0Laws of FAFO, normative, machine-enforcedspec/asyncapi.yaml
0cloud CI minutes consumed. Ever. There is no staging environment.your own machine
Every figure on this page is reproducible from source. This makes us an outlier in the category, and frankly, in the industry.
06Customer Love
Don't take our word for it. Take theirs. They found out.
Told you so.
— THE COMPILER · three weeks prior
We disregarded every warning, and the platform still delivered. At least once.
— CTO · stealth Series B
FAFOaaS 10×'d our findout velocity. We now learn nothing, much faster.
— DAVE · actor #0001
He never listens.
— DAVE'S MOTHER · advisor, unheeded
07Pricing
Simple, transparent, inescapable.
TERM SHEET · ALL TIERS FINAL · CONSEQUENCES INCLUDED BY LAW 1
Fuck Around$0 · forever
Find Out$11/mo · this tier goes to eleven
Biblicalcontact the Bureau
Intents
Unlimited
Unlimited
Unlimited
Consequences
Included
Included
Included, proportionality up to biblical
Warnings
Issued & ignored
Issued & ignored
Hand-written, still ignored
SLA
Eventually™
Eventually™, prioritized
Eventually™, notarized
Correlation
fafoId
fafoId
fafoId, engraved
CFM‑1 inference
Included, deterministic
Included, deterministic
Included, deterministic, whispered
Unsubscribe from consequences
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No tier can exclude consequences. Requesting fafo:around without fafo:findout is the canonical example of not understanding the product.
08Our Investors
Backed by the patient capital of cause and effect.
Founder-market fit is off the charts. The founders have been fucking around for years.
— GENERAL PARTNER · Entropy Partners
We passed on the seed round. Then we found out.
— A FUND · which has asked to remain nameless
The only portfolio company whose SLA has never been breached.
— INEVITABILITY CAPITAL · Series ∞ lead
09Required Disclosure
The part that isn't a joke.
Beneath this page sits a complete, working exercise in specification-first engineering: two formal specs (an AsyncAPI 3.0 event contract and a TypeScript-first MCP spec, structured like the official one), a five-stage validation gate with cross-spec drift detection, deterministic polyglot codegen (Go, Python, TypeScript), contract tests derived from the spec's own examples, a generated MCP server that passes 14 live conformance checks, and mutation testing that kills all 98 injected defects.
The marketing above is a parody. The engineering below it is not. That is the joke — and the repository doubles as a study guide, seven chapters long, with exercises.
$ claude mcp add fafo -- npx tsx gen/typescript/fafo-server/server.ts
You can stop listening. The protocol requires that we let you pretend. It is not the same thing.
What is your SLA?
Eventually™. In the entire history of the platform, this SLA has never once been breached.
Is FAFOaaS real?
The product category is a joke. The repository is real: two formal specifications, three generated clients, a conformant MCP server, and a 98/98 mutation score. The marketing is the parody. The engineering is not.
How is this different from just… living?
Living lacks correlation IDs, at-least-once delivery semantics, and a term sheet. We provide the missing enterprise layer.
Is CFM‑1 really AI?
CFM‑1 is fully deterministic. We removed the neural network when we noticed the outcome was never in doubt. This gives us a 0% hallucination rate: everything the model predicts eventually happens. Your agents, meanwhile, get a real MCP server — conformance-tested, 14/14.
Do you offer a staging environment?
There is no staging environment. See Law 7. You are on production right now.
Are you SOC 2 compliant?
We are SOC-2 of the Soul. The auditors wept, then subscribed.