AI Cost Estimator Skill#

Purpose#

Help teams estimate the true cost of running AI agents in production — not just API fees, but compute, storage, monitoring, maintenance, and engineering time.

When to Use#

• Planning an AI agent deployment
• Comparing build-in-house vs managed service
• Budgeting for AI infrastructure
• Evaluating vendor proposals

Cost Categories#

1. Compute (Server/VPS)#

ProviderSpecMonthly CostHetzner CX312 vCPU, 8GB RAM, 80GB$8/moHetzner CX414 vCPU, 16GB RAM, 160GB$15/moAWS t3.medium2 vCPU, 4GB RAM~$30/moAWS t3.large2 vCPU, 8GB RAM~$60/moDigitalOcean2 vCPU, 4GB RAM$24/moRailwayUsage-based$5-50/mo

Recommendation: Hetzner for cost efficiency. AWS/GCP if client requires specific cloud.

2. LLM API Costs#

ModelInput (per 1M tokens)Output (per 1M tokens)GPT-4o$2.50$10.00GPT-4o-mini$0.15$0.60Claude Sonnet 4$3.00$15.00Claude Haiku$0.25$1.25Llama 3.1 70B (self-hosted)$0 (compute only)$0

Typical agent usage: 500K-2M tokens/day depending on complexity.

Monthly API cost estimate:

• Light agent (email triage, scheduling): $15-50/mo
• Medium agent (research, content, CRM): $50-200/mo
• Heavy agent (coding, analysis, multi-step): $200-800/mo

3. Storage & Database#

ServiceFree TierPaidSupabase500MB, 2 projects$25/mo (8GB)PlanetScale5GB$39/moSQLite (on VPS)$0$0S3/R2 (file storage)10GB free$0.015/GB

4. Monitoring & Ops#

ServiceFree TierPaidUptimeRobot50 monitors$7/mo (1-min intervals)Better Stack10 monitors$24/moSentry (errors)5K events$26/moDatadogLimited$15/host/mo

5. Hidden Costs (Often Forgotten)#

ItemEstimated CostEngineer setup time (40-80 hrs)$4,000-16,000 one-timeOngoing maintenance (5-10 hrs/mo)$500-2,000/moSecurity patches & updates2-4 hrs/moPrompt engineering & tuning5-20 hrs initialTesting & QA10-20 hrs initialDocumentation5-10 hrsOn-call / incident response$500-2,000/mo

Total Cost Calculator#

DIY Single Agent#

text

Compute (Hetzner):     $8/mo
API costs (medium):    $100/mo
Database (SQLite):     $0/mo
Monitoring:            $0/mo (free tier)
Engineering (10h/mo):  $1,000/mo
─────────────────────────────
TOTAL:                 ~$1,108/mo
+ Setup:               ~$8,000 one-time

DIY Multi-Agent Swarm (5 agents)#

text

Compute:               $30/mo
API costs:             $400/mo
Database (Supabase):   $25/mo
Monitoring:            $25/mo
Engineering (20h/mo):  $2,000/mo
─────────────────────────────
TOTAL:                 ~$2,480/mo
+ Setup:               ~$20,000 one-time

Managed Service (AfrexAI)#

text

Single agent:          $1,500/mo (all-inclusive)
Full swarm:            $5,000/mo (all-inclusive)
Setup:                 $0 (included)
Maintenance:           $0 (included)
Monitoring:            $0 (included)
Engineering:           $0 (included)

Build vs Buy Decision Matrix#

FactorBuild In-HouseManaged (AfrexAI)Time to deploy2-8 weeks1 weekMonthly cost (single)$1,100+$1,500Monthly cost (swarm)$2,500+$5,000Engineering dependencyHighNoneCustomizationFullHighSupport/SLASelf-managedIncludedScalingYou handle itWe handle itRiskOn youShared

Key insight: Build-in-house looks cheaper on paper, but engineering time is the real cost. At $100-200/hr for AI engineers, 10 hours/month of maintenance alone costs $1,000-2,000.

ROI Framework#

text

Monthly savings from automation:
- Hours saved × hourly cost of employee
- Error reduction × cost per error
- Speed improvement × revenue per hour

Example (legal firm):
- Paralegal: 20 hrs/week saved × $35/hr = $2,800/mo
- Error reduction: 5 fewer mistakes × $500/mistake = $2,500/mo
- Speed: 30% faster case processing = $3,000/mo additional capacity
- TOTAL VALUE: $8,300/mo
- COST: $1,500/mo (managed agent)
- ROI: 453%

Get Started#

Want accurate cost estimates for your specific use case? → Free consultation: https://calendly.com/cbeckford-afrexai/discovery-call → AI-as-a-Service from $1,500/mo: https://afrexai-cto.github.io/aaas/landing.html → ROI Calculator: https://afrexai-cto.github.io/ai-revenue-calculator/