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)

Provider	Spec	Monthly Cost
Hetzner CX31	2 vCPU, 8GB RAM, 80GB	$8/mo
Hetzner CX41	4 vCPU, 16GB RAM, 160GB	$15/mo
AWS t3.medium	2 vCPU, 4GB RAM	~$30/mo
AWS t3.large	2 vCPU, 8GB RAM	~$60/mo
DigitalOcean	2 vCPU, 4GB RAM	$24/mo
Railway	Usage-based	$5-50/mo

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

2. LLM API Costs

Model	Input (per 1M tokens)	Output (per 1M tokens)
GPT-4o	$2.50	$10.00
GPT-4o-mini	$0.15	$0.60
Claude Sonnet 4	$3.00	$15.00
Claude Haiku	$0.25	$1.25
Llama 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

Service	Free Tier	Paid
Supabase	500MB, 2 projects	$25/mo (8GB)
PlanetScale	5GB	$39/mo
SQLite (on VPS)	$0	$0
S3/R2 (file storage)	10GB free	$0.015/GB

4. Monitoring & Ops

Service	Free Tier	Paid
UptimeRobot	50 monitors	$7/mo (1-min intervals)
Better Stack	10 monitors	$24/mo
Sentry (errors)	5K events	$26/mo
Datadog	Limited	$15/host/mo

5. Hidden Costs (Often Forgotten)

Item	Estimated Cost
Engineer setup time (40-80 hrs)	$4,000-16,000 one-time
Ongoing maintenance (5-10 hrs/mo)	$500-2,000/mo
Security patches & updates	2-4 hrs/mo
Prompt engineering & tuning	5-20 hrs initial
Testing & QA	10-20 hrs initial
Documentation	5-10 hrs
On-call / incident response	$500-2,000/mo

Total Cost Calculator

DIY Single Agent

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)

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)

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

Factor	Build In-House	Managed (AfrexAI)
Time to deploy	2-8 weeks	1 week
Monthly cost (single)	$1,100+	$1,500
Monthly cost (swarm)	$2,500+	$5,000
Engineering dependency	High	None
Customization	Full	High
Support/SLA	Self-managed	Included
Scaling	You handle it	We handle it
Risk	On you	Shared

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

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/30min → 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/