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// SERVICE SPECIFICATION 09

AI Budget & Cost Limits Training

Training staff at every level to control AI spending: hard spending caps, token budgets, prompt caching, effort settings, and sending minor tasks to free and local models.

Train Team on AI Budgets & Cost Caps →

1. Service Overview & Scope

  • Hard Spending Caps: Setting limits per session, day, month and year so no person, team or agent can exceed its budget.
  • User & Team Budgets: Allocating token budgets across developers, departments and production services, with workspace-level limits on the Claude platform.
  • Prompt Caching & Context Trimming: Caching stable prompt prefixes for up to 90% lower cost on cached input, keeping context lean, and clearing it between task phases.
  • Model & Effort Matching: Using Haiku at low effort for simple jobs, Sonnet for most work, and Opus or Fable at higher effort only when a task needs it.
  • Free and Local Models: Moving minor tasks to local models (Gemma, Qwen, Llama and Mistral through Ollama or LM Studio) and to free models on OpenRouter.

2. Standard Architecture & Tools

  • Platform Controls: Workspace spend limits and usage reports on the Claude platform, per-key limits, and /usage in Claude Code.
  • Cost Tracking Scripts: Python scripts that read token usage from API responses and log cost per user, team and agent.
  • Token Reduction: Prompt caching, effort settings, the Batch API for non-urgent work, and smaller context windows.
  • Free Model Routing: Local models through Ollama or LM Studio, and free OpenRouter models for low-stakes tasks.

3. Deliverable Examples & 4-Week Schedule

  • Budget Policy & Limits Setup: Written spending policy plus configured limits for each user, team and workspace.
  • Prompt Caching & Context Playbook: Guide and Python code samples for adding caching and trimming context in your existing applications.
  • Cost Tracking Dashboard: Dashboard showing spend per team, tokens used, and which models handled which work.
  • Agent Kill Switch: Code that stops an agent run as soon as it reaches its token or cost budget.
Timeline Focus & Architecture Core Deliverables & Artifacts Verification & Sign-off Criteria
Week 1 Spend Audit & Workspace Budget Policy Setup Historical API spend audit, written AI spending policy, workspace-level limits on the Claude platform, per-key quotas, and /usage tracking in Claude Code Baseline cost mapping approved with hard spend ceilings and user/team quota limits active in workspace configuration
Week 2 Prompt Caching & Context Trimming Optimization Prompt caching integration for up to 90% input cost reduction, context trimming and phase-clearing guide, and Python context-optimization code samples Verified prompt cache hit rates on repeated system prompts and measured reduction in average prompt token consumption
Week 3 Model/Effort Matching & Free/Local Model Routing Model tier routing guidelines (Haiku at low effort, Sonnet for standard work, Opus or Fable for high reasoning), Ollama and LM Studio local model setup (Gemma, Qwen, Llama, Mistral), and free OpenRouter routing for low-stakes tasks Demonstration of routine and low-stakes tasks routed to free and local models with zero degradation on critical tasks
Week 4 Cost Tracking Dashboard, Agent Kill Switches & Handover Python cost-tracking scripts, live dashboard displaying spend per team and model usage, automated agent budget kill-switch code, Batch API setup for non-urgent tasks, and 30-day support onboarding Agent kill-switch stops runs reaching token limits, spend dashboard operational, 30%-50% cost savings measured, and client sign-off

4. Guarantees & Commitments

  • No Surprise Bills: Hard caps stop spending at the agreed limit.
  • Measurable 30%-50% Cost Savings: Lower token spend from caching, model matching and local routing, measured against your bills before the engagement.
  • 100% Client Ownership: All scripts, configurations, dashboards and training materials belong to you.
  • 30-Day Support: Help adjusting budgets, limits and model choices.

5. Investment & Pricing Quote

  • Modular Service Selection & Flexible Engagement: Clients can freely pick and choose their services, either individually or bundled under our comprehensive transformation programs:
    • Individual Service Pick (Personal / 1-on-1): $100 USD per service for 5 days of live training + 5 days of dedicated support (10 days total coverage per service). Strictly 1 person only.
    • Individual Service Pick (Business / Teams): $200 USD per service for 5 days of live training + 5 days of dedicated support (10 days total coverage per service). Covers up to 20 participants (additional seats at $100 USD per seat).
    • Comprehensive Business Training: $2,000 USD for 60 days (30 days live training + 30 days guidance and detailed guides and materials). Includes cohorts up to 20 participants. Extra seats at $100 USD per seat).
    • Comprehensive Personal Training: $1,000 USD for 30 days (15 days live training + 15 days guidance and detailed guides and materials). Strictly for 1 person only (private acceleration).
  • Global Purchasing Power Parity (PPP) Available for All Service Pricing:
    • Tier 1 (Standard / 100%): Individual $100 USD | Business $200 USD | Business 60d $2,000 USD | Personal 30d $1,000 USD (USA, UK, EU, Canada, Australia)
    • Tier 2 (Developing Nations / 25% Off): Individual $75 USD | Business $150 USD | Business 60d $1,500 USD | Personal 30d $750 USD (India, Brazil, Mexico, UAE, Poland)
    • Tier 3 & 4 (Lower-Middle/Low-Income & Startups / 50% Off): Individual $50 USD | Business $100 USD | Business 60d $1,000 USD | Personal 30d $500 USD
    • Tier 5 (Academia & Non-Profits / 75% Off): Individual $25 USD | Business $50 USD | Business 60d $500 USD | Personal 30d $250 USD
    • Tier 6 (Crisis-Affected & Under-Resourced Regions): Individual $10 USD | Business $20 USD | Custom Subsidized Relief / Micro-Rates
    • Calculate and lock in your exact tier rate live on the Pricing page.
  • Payment Schedule:
    • Zero upfront advance; billed in 5 equal milestone installments due only after verified instruction and runtime delivery.

6. Summary

  • Hard Spending Caps: User, team and workspace limits enforced on the platform and in code.
  • Strict 1-Month Delivery: 4-week program from spend audit to live cost tracking.
  • Prompt Caching: Cutting recurring token spend through caching and leaner context.
  • Free and Local Models: Minor tasks moved off paid APIs.
  • 100% IP & Governance Transfer: Configurations, workshop materials and 30-day support.
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