Torchrouter by Cubefarm Systems

Sell the control plane, not the buzz.

Torchrouter is control-plane routing for agentic work: governed lanes, scoped memory, policy gates, and evidence built in. The first commercial offer is a paid control audit that shows where agent workflows are leaking time, trust, and money, followed by a 30-day assisted pilot to prove the fix.

Design-partner first 2-5 launch slots Audit in 7-10 days 30-day pilot Evidence packet included Human-in-control
Queue-aware routing Human review gates Scoped memory Observable fallback paths Hybrid local-first where it helps
design.partner.launch
Control Audit 7-10 day review of routing chaos, approval gaps, cost leaks, and evidence gaps.
30-Day Assisted Pilot One bounded workflow under control, with weekly executive summaries and before/after proof.
$3k-$5k audit $7.5k-$15k pilot 50% up front

Revenue offers

Two offers. One buyer problem. Fast path to cash and proof.

The launch site should not sell Torchrouter as a generic AI platform. It should sell an operator-grade audit first, then a bounded pilot for teams already running agentic work.

Offer 1 best first sale

Torchrouter Control Audit

$3k-$5k fixed price anchor

7-10 day assessment of an existing agent or AI workflow.

  • Workflow map: where requests enter, route, stall, and escape review.
  • Failure and risk map: cost leaks, weak approvals, brittle fallbacks, and evidence gaps.
  • Control-plane memo: recommended routing, policy, and operating model.
  • Delivery pack: baseline, ROI/risk memo, and a 30-day implementation plan.
Offer 2 design partner motion

30-Day Assisted Pilot

$7.5k-$15k collect 50% up front

One bounded workflow under active support to prove the control plane in practice.

  • One live route: a narrow workflow with explicit policy and fallback behavior.
  • Operator proof: before/after cost, latency, and reliability view.
  • Weekly summary: decision log, blocker log, and next-step recommendation.
  • Expansion memo: whether the pilot should scale, pause, or change shape.

Proof framing

What this site can safely promise today.

The page should be bold about the buyer pain and careful about the proof. It should sound like a control-plane operator, not a hype deck.

Claim now

Route the work with evidence.

Current copy can lead with governed routing, reviewable decisions, and preserved run context.

Brand law: calm, inspectable, infrastructure-grade.

Claim now

Keep humans in control.

Design partners should understand exactly where the system escalates, blocks, or asks for review.

The buyer should feel safety, not magic.

Claim carefully

Hybrid local-first when it helps.

Use local or cloud lanes as controlled smoothing, not as the core story.

Do not imply general managed-service maturity.

Claim carefully

Observable fallback paths.

Talk about fallback behavior only as something the pilot will prove and document.

Use screenshots, logs, or the audit packet to back it up.

How it works

Simple buyer motion, bounded support, visible outcomes.

Keep the process short so the first call feels like a sales conversation, not a consulting maze.

01

Discovery

Identify the workflow, the owner, the current pain, and the path that can actually be fixed first.

02

Audit

Map routing, policy, memory, queue state, approval gaps, and the evidence the team is missing.

03

Pilot

Activate one bounded workflow with support, then prove the new lane with weekly executive updates.

04

Decision

Use the evidence packet to decide whether to expand, pause, or change the operating model.

Design partner positioning

Built for teams already feeling the routing pain.

Good fit

AI platform teams, technical operators, and engineering leaders

  • Already running agent workflows and seeing cost, latency, or trust issues.
  • Need review and fallback discipline rather than another generic gateway.
  • Want evidence first so they can justify the next step internally.
  • Can move with a founder-led pilot and tolerate a sharp product edge.
Not yet

What this site should not pretend to sell

  • Self-serve GA software with no support overhead.
  • Generic AI transformation language that ignores operations reality.
  • Broad enterprise maturity claims that the runtime cannot prove.
  • A cheap tool-only story when the real value is control plus evidence.

Launch ask

Qualified design partners should start with the audit.

The fastest path to revenue is a paid control audit that produces a credible pilot plan. If the workflow is a fit, the next step is a 30-day assisted pilot with real proof.