Tools & playbooks

Interactive unit-economics modeling for multi-agent teams, alongside production orchestration kits, zero-server executive dashboards, and utility software built on the AI Signal stack.

Live catalog pricing 5 releases

Multi-model token & prompt caching ROI calculator

Using live model catalog pricing

Unoptimized monolith spend

100% Lead model, 0% cache

Routed + cached spend

Delegated worker split + cache reads

Net monthly & annual savings

$0/mo

$0/yr saved (0% reduction)

Prompt cache break-even

2 turns

Minimum reuse turns to offset write overhead

Workload & routing parameters

Pick a quick preset below or adjust sliders to model lead-to-worker delegation

Quick Presets (Plain English):

Lead / Orchestrator Model (Frontier Tier)

Handles architecture, decomposition, and pre-merge verification gates.

Worker Subagent Model (Fast Execution Tier)

Executes bounded worktree implementation and unit test loops.

Monthly agentic task runs 250 runs / mo

Total multi-turn coding, research, or operations tasks dispatched per month.

Worker delegation share (%)

Share of token volume offloaded from the Lead model to Worker subagents.

Average input tokens per task 80,000 tok

Cumulative context window read across turns in a single task run.

Average output tokens per task 6,000 tok

Generated code, reasoning tokens, and structured handoff envelopes per task.

Prompt cache hit rate (%) 70% cached input

Percentage of input tokens served from warm prefix cache (system prompts, repository maps, and frozen specs).

Tools, playbooks & apps

Production kits and open-source infrastructure