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SYSTEM LEDGER

A project isn't a folder.It's a ledger.

Every DjiniousEngineering project is a System Ledger — the digital thread that holds one system's Technical Baseline and Technical Data Package. Not documents in drives, but typed items connected by `produces` edges: eleven ISO/IEC/IEEE 15288 lifecycle stages, each item carrying an artifact type, an evidence class, a revision and a validation state. The agent works it stage by stage and stops at every review gate for a human.

The DjiniousEngineering System Ledger canvas: eleven lifecycle-stage columns from Mission & Need to Production & Operation, filled with typed items joined by produces edges, with review gates seated between the stages.The DjiniousEngineering System Ledger canvas: eleven lifecycle-stage columns from Mission & Need to Production & Operation, filled with typed items joined by produces edges, with review gates seated between the stages.
Eleven stages, one traced thread. The gates between the columns are where the agent stops for a human.DjiniousEngineering · the System Ledger canvas
WHAT IT IS

Typed items on a thread, not files in a drive

The ledger is a directed graph. Each item is one output with a declared artifact type — a requirement_set, a trade_study, an architecture, a sizing_model, a bom, a test_result, a technical_data_package — and it is joined to what it came from by a `produces` edge. Follow the edges and you have the whole chain: needs produce requirements, requirements produce components, components produce suppliers, and verification closes the loop. Nothing floats free; every item can name what it was derived from.

  • Thirty artifact types, from spec_brief through the final technical_data_package, one type per item
  • `produces` edges are the digital thread — the DAG that ties every output back to the need it serves
  • Traceability is explicit: derives_from, allocated_to / satisfies, verifies, interfaces_with, supplied_by
  • Every item carries a revision and a validation state, so the thread records not just what exists but how sure we are
The DjiniousEngineering ledger read as a linear narrative: each typed item shown in produces order with its artifact type and the item it derived from.The DjiniousEngineering ledger read as a linear narrative: each typed item shown in produces order with its artifact type and the item it derived from.
The same ledger read straight through — every item in produces order, each one naming its parent.
EVIDENCE CLASSES

Weak evidence cannot close a requirement

A claim is only as strong as what backs it. Every value on the ledger carries an evidence class on an ordered ladder — MEASURED, TEST_DATABASE, SUPPLIER, ANALYTICAL, NUMERICAL, ANALOG, JUDGMENT, UNKNOWN — strongest to weakest. A requirement declares the verification method it demands, and the ledger refuses to close it on evidence weaker than that method allows. You cannot retire a MEASURED requirement on JUDGMENT, and a value still marked UNKNOWN blocks anything that depends on it.

  • Eight evidence classes, MEASURED > TEST_DATABASE > SUPPLIER > ANALYTICAL > NUMERICAL > ANALOG > JUDGMENT > UNKNOWN
  • A requirement's verification method sets the floor — evidence below it does not count as fulfilment
  • UNKNOWN is a hard stop: it blocks closure of every requirement that leans on it
  • The class travels with the value, so a number's provenance is on the ledger, not in someone's head
A DjiniousEngineering requirements traceability table showing derives_from, allocated_to and verifies links, with each row's verification method and evidence class.A DjiniousEngineering requirements traceability table showing derives_from, allocated_to and verifies links, with each row's verification method and evidence class.
Every requirement traced to what allocates and verifies it — and the evidence class that is allowed to close it.
STALENESS

Change one item and everything downstream knows

The thread is live. Revise an item's content and the ledger walks forward along its `produces` edges — a breadth-first sweep over the DAG — and marks every item reachable from it stale. A stale item stops counting as a valid contract fulfilment, so a requirement whose parent changed no longer reads as closed until the work below it is redone. Nothing quietly keeps its green tick because a decision three stages back moved.

  • Editing an item's content marks its whole forward reachable set stale, computed by BFS over the produces DAG
  • A stale item no longer satisfies the contract it fulfilled — downstream closure is withdrawn, not assumed
  • Superseding an item requires a written reason, recorded against the revision that replaced it
  • The blast radius is visible on the graph, so you see exactly what a change reopened before you commit to it
The DjiniousEngineering ELANG graph view with a changed node selected and its downstream reachable set highlighted as stale, alongside the node-detail and gaps panel.The DjiniousEngineering ELANG graph view with a changed node selected and its downstream reachable set highlighted as stale, alongside the node-detail and gaps panel.
One item revised; its forward reachable set lit up stale. The graph shows the blast radius before you commit.
WHAT THE THREAD DOES

Three things a document-and-spreadsheet toolchain cannot

  • Answer 'why does this exist?' for any item

    Pick any component and trace it back — the requirement it satisfies, the need that requirement derives from, the verification that closes it, the supplier it is sourced from. The chain is a query over the edges, not an afternoon spent reconciling a requirements spreadsheet against a separate BOM.

  • Refuse a claim that isn't earned

    A requirement in a spreadsheet is closed when someone types 'closed'. A ledger requirement closes only when an item of the right artifact type, at or above the evidence class its verification method demands, produces the result — and never while any input is still UNKNOWN.

  • Keep the baseline honest under change

    Move a decision and the toolchain leaves stale copies scattered across documents. The ledger propagates the change: everything downstream goes stale, the affected gates reopen, and the Technical Baseline stops claiming to be something it no longer is.

THE REVIEW GATES

Five gates the agent cannot pass on its own

The agent proposes items stage by stage and then stops. At each of five ISO 15288 review gates it can only present the upstream work; a human validates the evidence and lets it through. These are the real acceptance criteria the ledger checks before a gate is even offered for validation.

The five ISO 15288 review gates: the gate code, the review it stands for, the stage it follows, and the criteria a human validates before the agent may pass it.
GateReviewStage it followsWhat a human must validate
SRRSystem Requirements Reviewafter RequirementsEvery requirement is singular and verifiable, a verification method is assigned to each, and the initial hazard list exists.
PDRPreliminary Design Reviewafter Engineering ModelsThe sizing loop has converged and margins against every hard constraint are positive.
CDRCritical Design Reviewafter Supply ChainGeometry, BOM and software baseline are released, and every part has a qualified source and a lead time.
TRRTest Readiness Reviewafter Verification & ValidationThe digital replica correlates with the analytical models, and abort criteria and safety cases are agreed.
PRRProduction Readiness Reviewafter Baseline ReleaseThe Technical Data Package is complete and internally consistent.
THE ELANG MODEL

One machine-checkable model over the whole thing

  • Four pillars, twenty-seven kinds

    ELANG — the Engineering Language for Artifacts, Processes, and Governance — is one declarative model of the system. Its 27 entity kinds fall into four pillars: WHAT is built, WHY it must hold, HOW it is done, and WHO does it and WHEN.

  • Twenty-six well-formedness rules

    The model is checked against 26 WFRs. The core one, WFR-9, is uncompromising: every obligation must tie to at least one implementation, one test, one responsible actor and one lifecycle gate. An obligation with nothing implementing it is a gap the model shows you.

  • Conformance L0 to L3

    The model reports its own level: L0 lexes and parses, L1 is well-formed, L2 closes all four pillars with a verification matrix, L3 adds lifecycle, risk and change to reach production-ready. It ships with its gap list, so the distance to the next level is named, not guessed.

  • Authored and graphed in-app

    The model lives as its own system_model item, written in a CodeMirror editor, shown with its conformance level and gaps, and rendered as a navigable graph so the four pillars can be read as a picture, not only as source.

The DjiniousEngineering ELANG source editor in CodeMirror showing the system_model, with its conformance level and a gap list beside the source.The DjiniousEngineering ELANG source editor in CodeMirror showing the system_model, with its conformance level and a gap list beside the source.
The ELANG model as source, with its conformance level and the gaps standing between it and the next one.
WHAT IT DOES NOT DO

Three limits worth stating plainly

This is an engineering system of record, so the page ends with the limits rather than hiding them. If one of these is what you were hoping for, say so on a call and we will tell you plainly where we stand.

  • It does not predict or forecast

    There is no forecasting, no trend extrapolation and no predictive model in the product. The ledger records what has been established and how strongly; it does not tell you unprompted what a result will turn out to be.

  • The agent never passes a gate itself

    The agent proposes items and presents the upstream evidence, but it does not validate its own work through a review gate. Every SRR, PDR, CDR, TRR and PRR is passed by a human validating the ledger, or it is not passed at all.

  • UNKNOWN evidence blocks closure

    A requirement whose backing is still UNKNOWN cannot be closed, and the agent will not paper over it. Weak evidence is left visible as weak evidence rather than promoted to make a gate look ready.

Bring a system you need to carry to a data package.

One mission need and its top-level constraints. We will open a ledger, let the agent frame the requirements and propose the thread, and stop it at the first gate in front of you — so you see the evidence classes and the gaps before anything is called closed.