CAIN-42 CAIN StudioAGENTIC AI 75 · #13
Multi-model workflow orchestration
Perplexity Computer decomposed goals into tasks and coordinated subagents and different model capabilities.
Last reviewed 2026-11-11
Agentic AI 75 / #13
2026 status: Product launch · Category: Agent orchestration
The 2026 development
Perplexity Computer decomposed goals into tasks and coordinated subagents and different model capabilities.
The governance gap
Routing one task across several models multiplies the number of identities, prompts and tool grants in play. The orchestration layer becomes the only place where the whole trajectory can be seen.
Where CAIN-42 fits: Moat 1 — Trust State
Core question: Who do we trust right now? Evidence-backed trust computed at the moment of the action, never a static badge.
Score each step against the trust state of the model, tool and data involved, and make the score a gate rather than a dashboard. CAIN's runtime bus and kernel already carry trust context across a multi-stage action.
How the wiring works
- Register each model and tool as an entity with an owner and a trust state.
- Attach the task's authority and budget to the orchestration context.
- Evaluate each handoff before the next model receives the task.
- Record the full trajectory, including which model produced which step.
What is real today
LIBRARY Production code and tests exist in this repository; there is no hosted route for this exact use.
The kernel and runtime bus are real. The hosted decision demo exercises the decision path, not a Perplexity integration.
| Component in this repository | What the module says it is |
|---|---|
cain/runtime/runtime_bus.py | CAIN Sovereign — the Runtime Governance Bus (Prompt 7, Phases 2-4). |
cain/kernel.py | CAIN Trust Fabric - Kernel Interface & High-Level Execution Substrate |
keystone/actors.py | Who wrote the fix, and who wrote the test. Independence is a claim about authors, not a mood. |
cain/runtime/a2a.py | CAIN Sovereign — Agent-to-Agent Trust Fabric (Prompt 7, Phase 17). |
Descriptions are the first line of each module's own docstring, read without importing it. A module path is a pointer into this repository, not a hosted endpoint. Its existence is checked by the test suite; its status for this use is the label above.
Check it yourself
- Fire a live governed decision
/fabric/try - Fire a live decision through the CAIN-42 pipeline
/fabric/try— the same enforcement path every product sits behind.
Commercial package
| Offer | Multi-Model Orchestration Review |
|---|---|
| Buyer | Agent-platform vendors and enterprise AI teams |
| Price (proposal) | $3,500–$7,500 per review |
| Bundle | Swarm & Multi-Agent — Delegation you can follow across every hop. |
| Operator stream | Stream 2 of the 10-stream operator playbook |
Agent orchestrator vendors, research labs, enterprise platform teams is the bundle buyer. The entry offer for this bundle is Swarm delegation audit; collusion and drift review; the range is $3,500–$7,500 per audit; $2,500–$4,000/month retainer. A price on this page is a proposal, not a validated rate, and no customer is claimed.
Buy this as a product or service
CAIN-A75-013 — Multi-Model Orchestration Review DELIVERABLE
A bounded engine run on the buyer's sample: findings, a written report, and a SHA-256 artifact manifest. The manifest is unsigned: it is not a signature and not an attestation.
Kind: Assessment · Price (proposal): $3,500–$7,500 per review · Lead time: 5 business days.
Open the product page · all 75 products
What this page does not claim
What this page is not. CAIN-42 is not affiliated with, endorsed by, integrated into, or shipped with the organisation named in the 2026 item. The item is public context; the page describes how CAIN-42 would govern that class of capability. No page here claims a customer, a partnership, a certification, a patent, or a production integration. Prices are proposals. Built by a three-person team.