Decision Intelligence

Give Alageyikyour best idea.

We'll try to kill it.

Challenge the assumptions behind your ideas, research the evidence and discover what could make them fail — before you spend time and money building them.

Adversarial by design•Zero sycophancy•Evidence-first validation
CONCEPT PREVIEW // EXAMPLE ANALYSIS
DEMO MODE
EXAMPLE THESISINPUT
“Build an AI study assistant for university students.”
ASSUMPTIONS
11 identified
CRITICAL
3
CONTRADICTIONS
2
PRIMARY LOAD-BEARING RISKCRITICAL
ASSUMPTION:Students will pay recurring subscriptions for an AI study assistant out of pocket.
If willingness to pay is weak, the business model fails regardless of technical execution.
TRACE: Idea → Demand → Willingness to PayCONCEPT PREVIEW
CUSTOMER INERTIAWhy would anyone switch from their existing habit?
UNIT MARGINDoes inference compute cost exceed sustainable subscription pricing?
INCUMBENT DEFENSEWhat happens when a market leader ships this as a default feature?
USER RETENTIONHow do you maintain engagement during seasonal usage gaps?
DISTRIBUTION CACCan you acquire customers organically without paid ad burnout?
PRIVACY & REGULATIONWhat privacy liabilities arise when handling sensitive user records?
TECHNICAL CEILINGDoes reasoning inaccuracy ruin the core promise at complex edge cases?
THE PROBLEM

AI is very good at agreeing with you.

Ask an AI whether an idea will work and you can often get a convincing explanation of why it might. Convincing is not the same as validated.

PLAUSIBLE ≠ PROVEN
A coherent narrative sounds persuasive, but prose cannot substitute for real-world distribution friction and pricing resistance.
CONFIDENCE ≠ EVIDENCE
Models can reinforce user assumptions when asked to validate an idea. Alageyik is designed to introduce deliberate adversarial pressure instead.
MORE ANSWERS ≠ BETTER DECISIONS
Brainstorming dozens of features creates noise. Strong decisions come from pruning unverified assumptions before building.
CORE DIFFERENCE

What if the AI's job was to disagree?

TRADITIONAL AI
Prompt
↓
Answer (Confirmation & Generic Summary)
Outcome: Confirmed biases, zero structural stress-testing.
ALAGEYIK PIPELINEADVERSARIAL PROTOCOL
01 Idea
02 Assumptions
03 Evidence
04 Attack
05 Contradictions
06 Experiments
07 Decision State[ KILL / PIVOT / TEST / PROCEED ]
Outcome: Load-bearing uncertainties mapped into actionable falsification tests.
HOW IT WORKS

From intuition to something you can test.

01

DECONSTRUCT

Turn the idea into explicit, falsifiable assumptions across demand, economics, and feasibility.

02

RESEARCH

Find empirical evidence, public post-mortems, and contradictory behavioral signals.

03

ATTACK

Apply adversarial pressure across customer friction, competition, economics, and regulation.

04

ISOLATE

Separate minor unknowns from existential risks that could invalidate the entire thesis.

05

TEST

Formulate the lowest-cost, highest-information experiment before committing engineering cycles.

STAGE LOGPHASE 01
OPERATION:
DECONSTRUCT
Turn the idea into explicit, falsifiable assumptions across demand, economics, and feasibility.
SIGNAL EXTRACTED:
11 explicit assumptions extracted
Concept PreviewPhase 01 of 05
ADVERSARIAL PERSPECTIVES

One idea. Many ways to break it.

CUSTOMER

“Why would I switch?”

Attacks habit inertia and switching friction to verify if the problem truly justifies changing workflow.

COMPETITOR

“What happens if someone copies this?”

Pressure-tests defensibility against incumbents who can ship identical functionality as a free default.

ECONOMICS

“Does the business actually work?”

Stresses token compute costs, CAC sustainability, and real willingness to pay cash out-of-pocket.

TECHNICAL

“Can it be built reliably?”

Examines hallucination limits, edge latency on complex documents, and structural fragility at scale.

SECURITY

“How could it fail?”

Surfaces prompt injection risks, context leakage across shared models, and automated abuse vectors.

PRIVACY & REGULATION

“What constraints could stop it?”

Evaluates data ownership liability, copyright boundaries on ingested materials, and AI compliance rules.

FAILURE MAP

Not a score. A failure map.

Alageyik doesn't hide uncertainty behind a made-up score. It shows what is supported, what is uncertain, what is contradicted and what needs to be tested.

DECISION DOSSIER (CONCEPT PREVIEW)
FAILURE REPORT
CRITICAL RISKS
03
UNPROVEN ASSUMPTIONS
07
CONTRADICTIONS
02
EXPERIMENTS
03
CRITICAL
Students may not pay for the product.
Status: UNPROVEN
Stated interest does not necessarily translate into a real payment commitment.
UNSUPPORTED
Users will switch from existing solutions.
Status: UNCERTAIN
CONTRADICTED
Existing free alternatives already solve part of the problem.
Status: CONFLICT
SUPPORTED
The technical architecture appears feasible.
Status: VALIDATED
States: SUPPORTED • UNCERTAIN • UNSUPPORTED • CONTRADICTEDACTION: FALSIFY CRITICAL ASSUMPTION #01
EXPERIMENT DESIGN

The answer isn't always “build it.”

Alageyik turns fatal ambiguities into concrete, low-cost falsification experiments.

TEST 01

CUSTOMER WILLINGNESS TO PAY

High Information Value
QUESTION
Will the target customer actually pay?
METHOD
Landing page + refundable deposit experiment.
COST
Low
TIME
2 days
INFORMATION VALUE
High
PASS CONDITION
Measurable cohort of visitors complete deposit commitment, confirming real purchase intent over words.
FAIL CONDITION
Zero deposit conversion among target users. Clear signal to reconsider direct consumer pricing before building.
DEPENDENCY MAP

See what your decision depends on.

Decisions are trees of dependent claims. If one load-bearing root snaps, downstream execution collapses.

Node States: SUPPORTED UNCERTAIN UNSUPPORTED CONTRADICTED
YOUR IDEA
├── Customer demand
Problem existsSUPPORTED
Willingness to payCONTRADICTED
├── Product
Technical feasibilitySUPPORTED
DifferentiationUNCERTAIN
└── Business
AcquisitionUNSUPPORTED
RetentionCONTRADICTED
Graph Evaluation: Failure in “Willingness to pay” invalidates downstream “Retention” and “Acquisition”.
PRINCIPLES

How Alageyik thinks.

01

DISAGREE FIRST.

Agreement is not analysis. Anyone can nod and validate your hopes. True decision intelligence searches for stress points immediately.

02

EVIDENCE OVER CONFIDENCE.

Important claims should be supported or explicitly marked uncertain. Conviction is not evidence.

03

TEST BEFORE YOU COMMIT.

The best analysis ends with something you can actually test. We turn dangerous ambiguities into crisp falsification cards.

Before you build it,try to break it.

Give Alageyik the idea you're most confident about.