{
"model": "FORM.1",
"decision": "review_required",
"focus": [
"tolerance",
"material_condition"
],
"missing": [
"material_certificate"
]
}Decision · Focus · Missing evidence
Built on quality compliance & high-precision manufacturing knowledge.
KNOW BEFORE
YOU MAKE
Meet FORM.1, our first AI manufacturing decision model.
01 / 05 Complexity
SEE THE HARD PARTS EARLY.
Geometry, tolerances and process demands. Understand what makes a part difficult before you commit.
- Geometry & accessibility
- Tolerance requirements
- Process demands
Designed to surface the reasons behind a complexity judgment.
02 / 05 Quality risk
KNOW WHERE QUALITY IS AT RISK.
Connect part requirements with historical quality outcomes. Identify the features and operations that deserve closer inspection.
- Critical dimensions & features
- Process and treatment risks
- Inspection requirements
Quality judgments connect requirements, inspection evidence and historical outcomes.
03 / 05 Material
THE RIGHT MATERIAL. IN CONTEXT.
A grade name is only the beginning. Bring material condition, manufacturing process and part requirements into the same decision.
- Grade & condition
- Process compatibility
- Certificates & missing evidence
Grade, condition and provenance matter. Make missing material evidence explicit.
04 / 05 Feasibility
MATCH THE PART TO THE PROCESS.
Evaluate a part against manufacturing routes and supplier capabilities. Make the reasons for a match, or a mismatch, visible.
- Manufacturing route
- Supplier & machine capabilities
- Technical constraints
Technical feasibility and commercial fit are distinct judgments.
05 / 05 Availability
CONNECT DECISIONS TO REALITY.
Combine the decision model with current material stock, lead times and supplier capacity. Know which options are available when they matter.
- Material stock & reservations
- Supplier capacity
- Lead times & delivery constraints
Availability depends on the freshness of connected stock and capacity data.
OUR EXPERIENCE.
YOUR MODEL ACCESS.
FORM.1 brings manufacturing data and expertise into a structured decision model. Connect your teams, tools and workflows to the same intelligence.
From technical drawings and part requirements to supplier decisions and quality outcomes. Our advantage is the experience connecting them.
The network behind the knowledge.
KREATIZE / MANUFACTURING
FROM DECISION.
TO DELIVERED PART.
FORM brings manufacturing context to your decisions. KREATIZE connects your requirements with the people, processes and quality expertise that turn them into parts.
- CNC machining, sheet metal & more
- Supplier matching & quality management
- One partner, from request to delivery
Bring your drawing or CAD file to KMS. Configure your requirements and request a quote from the KREATIZE network.
MODEL CONTEXT PROTOCOL / FORM.1
YOUR WORKFLOW.
OUR INTELLIGENCE.
Bring manufacturing decisions into the tools you already use. Connect your AI workspace or agent through MCP, with part requirements in and structured decision evidence back.
Local CLI available now. Connected MCP and quoting access by request.
ONE COMMAND. YOUR ENTIRE FOLDER.
curl -fsSL https://form.kreatize.com/install.sh | bash -s -- --folder "$PWD"Run in your parts folder, or replace "$PWD" with its path. macOS + Linux · Python 3.9+
$ form ./parts
Drawings. CAD metadata. Inspection sheets. Documents.
form › show material and inspection requirements
Source passages with file, page or row references.
form › request 20
Sign in. Review selected files. Prepare a KMS draft.
Keep your workflow. Add manufacturing context.
The CLI extracts and searches local evidence. Engineering predictions require validated models; availability requires current stock and capacity. Uploads and RFQs require your confirmation.