Engineering AI

Root Cause Diagnosis

Problem Types

Why did our alkaline electrolyzer membrane degradation rate triple after switching from KOH to NaOH electrolyte at 80°C and 30 bar?

Root Cause Analysis

Ionic conductivity vs. chemical stability at elevated temperature

The degradation mechanism is NaOH-specific: sodium ions have a larger hydrated radius (3.58Å vs 3.31Å for potassium), creating greater osmotic stress on the polysulfone membrane matrix.

At 80°C, NaOH accelerates chain scission in the polymer backbone via nucleophilic attack — a mechanism absent with KOH at the same concentration. The rate constant increases 4.2× between 60-80°C.

Recommended Actions
01

Characterize membrane via FTIR pre/post exposure

02

Test Zirfon PERL UTP 220 (ZrO₂-stabilized) — rated for NaOH

03

Reduce operating temperature to 65°C as interim mitigation

General LLMs aren’t designed for engineering problems.

Hallucinations.

Fabricated citations and invented data. Unacceptable when the output reaches a pilot reactor.

Shallow reasoning.

Single-pass analysis that collapses the moment constraint density increases.

Dropped constraints.

The more variables you add, the more the model quietly ignores.

Sparlo is a team of engineering agents.

7 specialized agents. 60 minutes of analysis.

A team of specialized agents decomposes and solves your problem the way an engineering team would if they huddled for a week.

Problem Solving Architecture
7 stages
01

Decompose & Reframe

Strip to first principles. Identify the binding constraint. Constraint inversion: flip assumed trade-offs to find the real design space.

02

Dynamic Problem Routing

Classify across 7 problem types. Assemble a custom team of specialized agents — different problems get different analytical strategies.

03

Deep Research

Papers, patents, abandoned technologies, trade publications. Cross-domain search: solutions from adjacent fields that haven’t been applied to yours.

04

Solution Generation

Function-Oriented Search and TRIZ systematic innovation. Every solution checked against the original constraint set.

05

Verification Gates

Web-check every citation. Re-compute every formula. Detect internal contradictions. Surface and test unstated assumptions.

06

Self-Critique

The system argues against its own conclusions. Identifies weakest links. Course-corrects when research reveals the problem shape has changed.

07

Adaptive Report

4 report types matched to problem structure. Specific: materials, vendors, operating parameters. Not a chat response.

Every claim verified.

Citations web-searched. Formulas re-computed. Internal contradictions reconciled.

Citation Verification

Chen et al. (2019) demonstrated 94% selectivity using a PdCu membrane at 350°C.

No matching publication found. Citation appears fabricated.

Replaced with Yun & Oyama (2011), J. Membrane Science — 93.7% selectivity for Pd–Cu alloy membranes at 350°C.

Formula Re-computation

σ = E·Δα·ΔT = 210 GPa × 4.2×10⁻⁶ × 200K = 126 MPa

Re-computed: 210 × 10³ × 4.2 × 10⁻⁶ × 200 = 176.4 MPa.

Corrected to 176 MPa. Downstream recommendations updated for the higher stress value.

Internal Contradiction

Section 2: operate at pH 4.5. Section 5: catalyst stable only above pH 6.

Incompatible pH ranges across sections.

Reconciled to pH 6.2 — satisfies both catalyst stability and reaction kinetics.

You wouldn’t skip FEA on a load-bearing structure. We run the equivalent on every claim.

No training

Inputs never train models

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Bring a hard problem.

The one you’ve been self-censoring from ChatGPT. 60 minutes of multi-agent analysis, grounded in reality.

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