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LMD Decision Workbench No backend No data sent by this site

Frontend-only workbench

LMD Decision Workbench

Turn a vague LMD/DED request into LMD Decision Brief v1.0: known facts, missing information, risk flags, evidence needed, and a next action.

Every standard brief can travel as a Technical Decision Brief, an Exafuse-ready email draft, an AI-agent-safe summary, Markdown, JSON, grouped checklists, and print/PDF.

Outputs are preliminary decision-support only. Final feasibility depends on material, geometry, service conditions, inspection requirements, and expert review.

This browser tool does not send, store, or analyze your inputs outside this page.

Start Decision Cockpit Open Decision Map Brief standard 90-second demo Open RFQ Toolkit Request Exafuse review

Workbench status

Browser-local decision support.

Runtime

Frontend-only

Data sent

None by this site

Output type

Preliminary decision-support

Final route

Expert review / Exafuse RFQ

LMD Decision CockpitLMD Decision Brief v1.0No input tracking

Start with a rough LMD question. Leave with a brief.

Pick the situation, mark what is known, then expose missing information, risk flags, evidence needed, and an Exafuse review route. Inputs stay in this browser session only.

Technical Decision BriefExafuse-ready email draftAI-agent-safe summary
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Public-safe dummy example: worn steel shaft near bearing seat.

1. What is the situation?
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2. What information is available?
3. What is the risk?

Public-safe presets

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Tool 1

Process route module

LMD vs SLM Advisor: Compare early process-selection signals for Laser Metal Deposition and SLM/LPBF.

Sample output

A preliminary process direction, why, missing RFQ fields, risk flags, evidence needed, readiness, and next action.

Sample outputs are keyword/rule-based and intentionally conservative. Missing information and risk flags stay visible because they often change the decision.

Your live output

Change the inputs below. The output updates in your browser only; this site does not send, store, or analyze your entered data.

What changes the decision

Feature sizeInternal channelsPart sizeNeed for local depositionTolerance targetMaterial and qualification requirements

Tool 2

Repairability module

LMD Repairability Quick Check: Screen whether an industrial part has enough preliminary signals to be reviewed as an LMD repair candidate.

Sample output

A repairability signal, known support, missing information, risk flags, evidence needed, readiness, and next action.

Sample outputs are keyword/rule-based and intentionally conservative. Missing information and risk flags stay visible because they often change the decision.

Your live output

Change the inputs below. The output updates in your browser only; this site does not send, store, or analyze your entered data.

What changes the decision

Unknown materialCracks beyond visible damageTight toleranceNo post-machining routeSafety-critical serviceNo inspection plan
Repairability inputs

Tool 3

RFQ structure module

RFQ Prompt-to-Structure Converter: Turn free text into known facts, missing fields, risk flags, and a copyable RFQ summary.

Sample output

A structured RFQ preview with part/material/damage hints, missing fields, risk flags, evidence needed, readiness, and copy buttons.

Sample outputs are keyword/rule-based and intentionally conservative. Missing information and risk flags stay visible because they often change the decision.

Your live output

Change the inputs below. The output updates in your browser only; this site does not send, store, or analyze your entered data.

What changes the decision

Missing material gradeMissing drawing/CADMissing damage depthMissing operating conditionsMissing toleranceMissing deadline

Brief quality rubric

What makes a brief useful?

This rubric checks brief quality, not technical feasibility.

  • Exact material grade visible
  • Geometry/drawing available
  • Damage/build area described
  • Service conditions stated
  • Tolerance/finishing need stated
  • Inspection requirement stated
  • Risk flags not hidden
  • Next action clear

Operating loop

Inputs -> gaps -> risks -> next action

The workbench keeps the loop short: structure the question, expose uncertainty, then route serious cases to expert review.

01

Sense

Collect signals, process data, context, operator observations, and missing-information cues.

02

Model

Combine machine learning, engineering rules, uncertainty, constraints, and traceable assumptions.

03

Decide

Structure recommendations, trade-offs, risk priorities, next actions, and human-review boundaries.

04

Verify

Connect decisions to inspection, measured outcomes, feedback loops, and physical evidence.

From personal decision support

Manish Sharma Lab structures the question.

The workbench helps separate known facts, missing information, risk flags, and a bounded next action. It is public, frontend-only, and intentionally conservative.

Open LMD Decision Map

To Exafuse review

Exafuse performs commercial and technical review.

Final feasibility depends on material, geometry, service conditions, inspection requirements, and expert review. Use Exafuse for RFQs, services, company claims, and technical/commercial decisions.

Request Exafuse review No-hype boundary Contact routes

Agent workflow

Turn vague requests into usable LMD data

RFQ ToolkitSchema, prompts, rules, and checklists.Open →Request Exafuse reviewCommercial RFQ route for company review.Open →Industrial AI ThesisSense, Model, Decide, Verify.Open →Full Site MapEvery page and public machine-readable asset in one linked map.Open →