01
What PIGI does
Its purpose is not primarily to generate opinions or verdicts. Its purpose is to make relationships in information easier to inspect.
Its canonical question: Does what you say match what you do? — the relationship between declarations, execution, framing and observable value flows, not just the detection of contradictions.
02
Why relationships matter
Individual facts are useful. Relationships between them reveal structure.
PIGI does not only ask what information exists. PIGI asks how the information relates.
03
The four lenses
- Declaration
- What is said, claimed, promised, stated, described or presented.
- Execution
- What actions, outputs, behaviors or observable events appear in the supplied material.
- Framing
- How information is presented, contextualized, emphasized, omitted, positioned or linguistically shaped.
- Value Flow
- Where observable or proposed forms of value appear to move — money, attention, information, access, authority, reputation, opportunity, time, resources, influence or other context-dependent value. Value flow does not automatically establish motive.
04
From material to structure
- Material
- Observable information
- Information units
- Entities + Signals
- Relationships
- Patterns
- Questions / Exploration
This is the conceptual model, not the private engine. Source code, prompts and internal architecture are not published.
05
Units, entities, signals, relations, patterns
- Information Unit
- A smaller piece of material — a statement, observation, claim, event, description, action or relationship-bearing fragment. Units let PIGI reason about structure rather than merely summarize whole documents.
- Entity
- A distinguishable object in the material: a person, organization, company, product, document, publication, project, role, system or event. Same label does not necessarily mean same entity.
- Signal
- A relevant informational feature detected or supplied within the material. A signal is not a conclusion; it becomes useful when connected to its source, scope, entity and other signals.
- Relation
- How supported pieces of information connect — for example supports, contradicts, precedes, follows, references, repeats, changes, benefits or depends on. PIGI does not only ask what information exists; it asks how the information relates.
- Pattern
- A structure emerging across relations — repetition, change over time, consistency, inconsistency, asymmetry, missing expected information, gaps between declaration and execution. A pattern is not a verdict; it is a structure worth examining.
- Unknown
- An explicit state meaning the material does not support an answer. Unknown must remain possible; missing information is not permission to invent.
06
Value flows
Where observable or proposed forms of value appear to move — money, attention, information, access, authority, reputation, opportunity, time, resources, influence or other context-dependent value. Value flow does not automatically establish motive.
Benefit does not establish intention. A possible value flow is not an observed value flow.
07
Observation vs interpretation
- Observation
- What appears directly in supplied material.
- Relation
- How supported pieces of information connect.
- Pattern
- A structure emerging across relations.
- Interpretation
- A possible meaning assigned to that structure.
- Conclusion
- A stronger claim that requires sufficient support.
PIGI does not forbid conclusions. PIGI forbids invisible transitions.
08
Epistemic boundaries
These are part of the analytical methodology, not marketing disclaimers.
- Unknown must remain possible.
- Missing information is not permission to invent.
- Correlation ≠ causation.
- Benefit ≠ motive.
- Function ≠ intention.
- Repetition ≠ independent confirmation.
- Same label ≠ same entity.
- Same label ≠ same signal.
- Possible value flow ≠ observed value flow.
- Relationship ≠ permission for any conclusion.
09
One source vs many
- One piece
- Observations within that material.
- More pieces
- Relationships between them.
- Over time
- Patterns and trajectories.
More material does not imply certainty.
10
Human judgment
The human remains responsible for context, judgment, verification, decisions and appropriate use of information.
PIGI makes relationships difficult to unsee.
11
What PIGI does not claim
PIGI is not primarily a generic chatbot, a search engine, a fact checker, a scoring engine, a social-media monitoring platform, a personality test, a surveillance system, a background-check database, a simple summarizer, an automatic truth machine, an automatic lie detector.
Canonical category: relationship and pattern analysis system / interface. PIGI can be wrong; verify important facts against primary sources.
12
Example
A company statement declares a commitment to transparency (Declaration). Its published reports show which actions occurred (Execution). The language emphasizes some facts and omits others (Framing). Attention and reputation move toward certain parties (Value Flow).
PIGI surfaces how these relate and which questions follow. It does not declare the company honest or dishonest.