Turn uncertain frontier-technology claims into decision-ready intelligence.
Frontier Intelligence Workflows (FIW) is an open, evidence-first workflow for consequential technology questions when evidence is incomplete. It traces claims to sources, separates observation from inference, exposes contradictions and unknowns, and records the evidence needed before a decision responsibly moves forward.
Automation checks structure, traceability, and declared evidence conditions. It does not determine truth, verify the underlying claim, make investment decisions, certify readiness, or authorize action.
Decision Question
↓
Claims
↓
Evidence
↓
Provenance
↓
Contradictions / Challenges
↓
Knowns · Unknowns
↓
Assumptions
↓
Assessment
↓
Decision Boundary
↓
Next Evidence
↓
Accountable Human
- Perception Integrity:
NO_FINDINGS/REVIEW_REQUIREDdescribe configured deterministic findings in the declared assessment. - Repository controls:
PASS/FAIL/NOT_RUNdescribe whether a named machine control executed and satisfied its assertion.
NO_FINDINGS does not mean a claim or evidence set was verified. A passing repository control establishes only what that control tested.
See Status Semantics.
The FIW Decision Record is a portable record for a bounded assessment. It captures the decision context, material claims, evidence, provenance, uncertainty, decision boundary, next evidence, accountable owner, and rationale without converting uncertainty into certainty.
The Frontier Claim Experience is a local-first synthetic example. Several reports appear to corroborate a claim, but tracing their origins reveals that they share a single provenance root.
FIW-SYN-005 — Frontier Technology Diligence is a fictional diligence scenario showing how repeated reporting can be distinguished from independent corroboration. It ends at a bounded evidence-gathering decision and does not recommend or execute an investment.
Perception Integrity provides deterministic checks for declared evidence lineage, observation-versus-inference separation, assumptions, alternative hypotheses, evidence state, stop conditions, public-release boundaries, and decision authority.
Source independence remains analyst-established. FIW validates declared lineage consistency; it does not determine whether two real-world sources are genuinely independent.
FIW-SYN-001 shows a complete evidence-to-decision artifact chain using fictional data.
Keep nonpublic working evidence outside this public repository.
Start from the intentionally incomplete teaching template:
mkdir -p ../fiw-work ../fiw-results
cp templates/perception-integrity-starter.json ../fiw-work/assessment.json
python scripts/run_perception_integrity.py \
--root . \
--assessment ../fiw-work/assessment.json \
--evaluated-at "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
--json-output ../fiw-results/validation.jsonThe first run is expected to produce findings and exit with code 1. Improve the declared record, rerun it, and treat NO_FINDINGS only as the absence of configured deterministic findings.
For an existing assessment, preserve the prior artifact and create a new result when reassessment is needed rather than silently rewriting the earlier record.
- Exit
0: recommendation isREADY_FOR_HUMAN_REVIEW. - Exit
1: deterministic findings require action before ordinary review. - Exit
2: input, path, or output handling error. - Exit
3: assessment fails the bounded schema contract.
FIW includes reproducible checks for software behavior, approved public structure, workflow integrity, manifest consistency, and deterministic packaging.
Run the complete repository gate:
mkdir -p ../fiw-validation ../fiw-release
python scripts/run_tests.py --root . --json-output ../fiw-validation/source-test-summary.json
python scripts/compile_sources.py --root .
python scripts/validate_repo.py --root . --json-output ../fiw-validation/validation-report.json
python scripts/build_release.py --root . --output-dir ../fiw-release --check --commit "$(git rev-parse HEAD)"
sha256sum -c MANIFEST.sha256
git diff --checkA passing control establishes only what that control tested. Manifest checks establish byte consistency against the recorded manifest; they do not establish external truth or authorship.
FIW is designed for public-safe methods, synthetic examples, and inspectable assurance controls.
Do not place nonpublic, confidential, proprietary, credential, controlled, or operationally sensitive material in this public repository.
FIW does not certify scientific truth, technical performance, supplier qualification, production readiness, safety, regulatory approval, legal compliance, investment merit, or deployment authority.
Use GitHub private vulnerability reporting for security issues. Do not disclose sensitive security details through public repository surfaces.
See Security, Limitations, and Status Semantics.
Repository code and documentation are available under the MIT License.
Use of this repository does not imply Bridge Node 7 endorsement, certification, qualification, partnership, or approval.
Published by Bridge Node 7.
v0.5.2 — Decision-Ready Intelligence