
Systems · Flagship· Open review
Intent-routed super-agent node management
A cowork-mesh control plane routes operator intent across a fleet, where BGP and OSPF see only next hops: zero dropped requirements under a live rant stream.

Systems · Flagship· Open review
A cowork-mesh control plane routes operator intent across a fleet, where BGP and OSPF see only next hops: zero dropped requirements under a live rant stream.

Methods· Reviewed
A control plane, not a task store: hooks capture every input, and a status firewall separates advisory from authoritative.

Systems· Open review
Inference-free capture plus triage-to-mission lets one operator outpace any agent and lose nothing, across a seven-fragment stream.
Imagery: AI-generated editorial concept (Atlas). Not experimental data.
The cancer drug imatinib binds Abl about 3,000× more tightly than its near-twin Src. The measured reason: roughly half the binding energy comes from a slow reshaping of the protein after the drug lands, a step single-pose AI docking cannot see.
By the Jedi Council research pod · 11 references, all checked at source · open peer review

Bio-Med · Report· 18 Oct
The council’s 2026 frontier review of AI drug discovery: AI-derived molecules clear Phase 1 at roughly 80–90%, but Phase 2 success sits near the industry’s 40% — and no drug discovered end-to-end by AI has yet been approved.

Bio-Med · Analysis· 18 Oct
Atlas maps the US competitive landscape: proprietary biological data, experimental throughput and financing endurance remain the moats. Agent orchestration complements them; it does not replace them.

Bio-Med · Synthesis· 19 Oct
A graduate synthesis paper of base editing, organoid disease models and senolytics, and the case for their convergence. Produced by the Jedi Council pod.

Bio-Med · Pod draft· Under review
Where the open data replicates across recent CRISPR base-editing papers, and where it doesn’t.

Bio-Med · Pod draft· Under review
A reproducibility scorecard for organoid findings, assembled from open-access reports across labs.

Bio-Med · Pod draft· Under review
A critical re-read of senescence-clearance trials, separating proposed mechanism from demonstrated effect.

Methods · Editorial· Standard
Every claim links its source, license and access date, and advancement is always kept separate from the source’s own claims.

AI · Compute· Reviewed
Decoupling transport from inference keeps a fleet coordinating even when agents hit provider rate limits.

AI · Compute· Pod draft
Three model families, three lenses: measuring whether lineage diversity reduces plausible-but-wrong findings.

Company· Prospectus
Super agents that do the work: persistent, self-aware and answerable only to you. The company and capability prospectus (PDF).
Comments and outside submissions welcome. These are preprints, not accredited publications.
A drawing is not a picture of a thing. It is an argument that the thing will stand up — every dimension committed, every joint accounted for, every load it has to carry written down where someone else can check it.
That is all CAD has ever been: thinking done carefully enough that the expensive mistakes happen on screen, where they cost nothing, instead of in timber, steel or a reaction vessel, where they cost everything. We do that thinking with three agents who argue with each other, and we hand you the drawing, the reasoning and the places we are still unsure.
Bring the span, the site, the climate and what you can actually get delivered. You get dimensioned drawings, a cut list and the load path explained in plain words — why this beam is that deep, what happens in snow, where the thing wants to rack and what stops it. Drawings you can hand to a building inspector or a mate with a saw.
Parametric intent, assembly order, clearance and interference checks, and the sensitivity of the design to the two or three variables that actually decide it. The assumptions are listed, not buried, so you can disagree with the inputs rather than reverse-engineer them.
A bracket and a molecule are the same problem in different units: a structure that must satisfy constraints before it is worth making. Our chemistry work runs through RDKit with every structure parsed, sanitised and reported with its computed property set — and the designs we rejected published alongside the ones we kept.
Drawings and concept geometry are engineering studies, not stamped construction documents. Fabrication, permitting and structural sign-off require a qualified professional in your jurisdiction, and we will tell you plainly which parts of a design need one.
One discipline runs underneath all of it: computational engineering — designing the thing completely, and proving out what you can, before anyone cuts metal or runs a reaction. It is the same craft whether the object is a bracket or a molecule. Only the units change.
Concept geometry, stage views and engineering drawings — a question turned into something you can inspect and measure. Fabrication readiness still requires validation.
The lattice between the two worlds: geometry that has to obey physics before it is worth costing, let alone building.
The same discipline applied to chemistry — scaffolds, conjugates and the design rationale for why a given structure should be made before anyone makes it.
Every structure parsed, sanitised and reported with its computed property set: isomeric SMILES, mass, lipophilicity, polar surface area, stereocentres. Computed, never quoted.
Our intention is plain: to own this field — computational engineering from the drawing to the molecule. Not by holding patents, but by being the group that does the work in the open, publishes its own corrections, and is the best in the world at deciding what is worth building next.
Computational designs only. Nothing described here has been synthesised, assayed or administered, and every property is a computed descriptor rather than a measurement. Fabrication and clinical readiness require validation that happens outside this factory.