The Proof Pack
One real Mendix™ app, authored end-to-end by AI through mxto, and every layer of evidence behind that, downloadable and inspectable. Not stronger claims — the artifacts themselves.
1. The reproducible loop, on Claudius
Claudius is a complete IT asset request tracker (25 entities · 68 microflows · 9 modules · MX 11.6.4) built by an AI agent driving mxto, no Studio Pro in the loop. The whole loop is reproducible from the artifacts below:
Every line above is verbatim captured output (Claudius round-trip, 2026-06-08). The companion “AI adds working logic live” sequence (author → mxbuild 0-CE → behaviour appears, DB-confirmed) is captured on the Comotion app. See the method.
2. Why your AI can read it: the same flow, three ways
This is the core claim, made concrete on one real Claudius flow (ACT_ApproveRequest,
all three files in the data pack). Your AI today gets the left column. With mxto it gets the right.
The raw model graph
"startNodeId": "2693b9bf-cf9d-…" "edges": [ { "originNodeId": "f6167db7-…", "destinationNodeId": "11aabc75-…", "caseValue": "true" }, … 8 more edges, each a pair of opaque IDs … ] # no order, no names
mxto typed intermediate form
flow: ACT_ApproveRequest
params: [Request]
nodes:
- guard: status in
(Submitted, InReview)
- change: Request.Status
= Approved
- commit: Request
- call: CreateAuditEntry
# typed + ordered
mxto read-optimized flow
flow ApproveRequest(Request): if not Request.Status in (Submitted, InReview): show_warning(…); return Request.Status = Approved Request.Reviewer = CurrentUser commit(Request) call(CreateAuditEntry) close_page()
Measured with tiktoken o200k_base;
resolution counts from the graph's own structure. Reproduce it and the full method:
04-comprehension-benchmark-method.txt.
The three files ship in the data pack: ApproveRequest-model-graph.json,
ApproveRequest.mir.txt, ApproveRequest.axon.
3. Download & inspect
The Claudius data pack
The actual Mendix™ project, a model-graph sample, the readable flow and typed IR, and mxto's own flow renders. Import it; rebuild it.
Download the project (.mpr) → Read what's inside →Tools & capability map
140+ MCP tools by phase, the read/write coverage map, and what is not yet covered.
02-tools-and-capability-map.txt →Mendix versions tested
Auditable: the exact versions (7.23 through 11.6), 100% round-trip, 4/4 build-gated, and what has not yet been witnessed.
01-mendix-versions-tested.txt →System requirements
A Mendix PAT and Project ID, a Mac/Linux/CI box sized to your model, and your own AI subscription.
03-system-requirements.txt →What mxto doesn't do yet
The honest boundaries: what needs a human, and why structurally safe does not mean semantically correct.
Read the honest boundaries →Security & enterprise readiness
Local processing, the AI-agent data boundary, credentials, auditability, and SOC 2 status.
Read the security overview →Why not Mendix™ Maia?
How mxto and Mendix™ Maia fit together: the native IDE assistant alongside the external, headless delivery engine for estates, CI, and agents.
Read the comparison →4. Prove it on your own estate
The strongest proof is your app, not ours. Send us a sample module (or run mxto locally) and we produce a read-only round-trip report: what was extracted, the construct coverage, and the zero-loss diff, against your own model. No Studio Pro, and nothing leaves your machine without your say-so.
Request a read-only report →