01 / Featured tools

These projects support requirements, first-principles checks, repeatable execution, evidence capture, and honest failure states. Maturity and limitations are shown alongside capability.

01
Engineering analysis orchestrationAlex Blythe · Updated 17 September 2026

Aero

Turn an engineering question into a reviewable analysis: requirements, first-principles checks, geometry, CFD or structural analysis where justified, and inspectable evidence.

  • Engineering problem framing and fidelity selection
  • Geometry, mesh, boundary-condition, and preflight checks
  • Convergence, conservation, and validation gates
Public beta / preliminary analysis2026Try Aero
02 / Engineering software

Aero orchestrates reviewable engineering analysis.

Aero carries a declared engineering question through requirements, first-principles checks, geometry, appropriate numerical analysis, evidence evaluation, and reviewable disposition without treating an AI-generated answer as computational authority.

03 / Supporting experiments

Supporting tools for bounded automation.

ForgeClaw and OCR97 remain useful companion experiments. They are deliberately secondary to Aero on this index.

Bounded agent execution

ForgeClaw

ForgeClaw explores how an agent can act on a declared surface, preserve what happened, and require separate evidence before a result is accepted.

Boundaries & evidence
Evidence-aware document processing

OCR97

OCR97 treats extracted text as evidence with provenance and uncertainty rather than as a guaranteed transcription ready for silent downstream use.

Boundaries & evidence
04 / Research notes & architecture

The reasoning behind the systems.

Selected notes connect implementation decisions to engineering concerns: defined authority, observable execution, independent acceptance, and evidence that survives failure.

Aero future work: local engineering pilot

A reference roadmap for a teens-sized GX10 engineering pilot: Luna prepares traceable data and bounded implementations, a lead reasoning model designs and reviews, and deterministic gates retain authority.

Read ↗
Aero future work

Find saved research projects, source snapshots, and implementation briefs without confusing planned work with released capabilities.

Read ↗
Why OCR Quality Matters to Agentic Workflows

A draft technical note on how missing rows, damaged labels, and uncertain text propagate into downstream tool decisions.

Draft
Measuring Local AI Savings Without Lying to Yourself

A draft measurement template for comparing local execution, cloud planning, latency, energy, and failure costs without cherry-picking.

Draft
05 / GitHub

Public source and project records.

ForgeClaw and OCR97 were originally published through Precision Arts Lab. That attribution is secondary here to their role in Alex's independent technical work.