AWS

Build on AWS with AI.
Your dashboard builder.

Anything you can do in the AWS CLI, your agent can do for you. Spin up servers, analyze spend, find savings, and automate operations — just by asking.

camelAI — AWS AgentConnected
you:"Shut down all idle instances in us-east-1"
$aws ec2 describe-instances --filters Name=instance-state-name,Values=running --query ...
3 instances stopped. Estimated savings: $127/day
you:"Open port 443 on the prod security group"
$aws ec2 authorize-security-group-ingress --group-id sg-0a1b2c3d --protocol tcp --port 443 ...
Ingress rule added to sg-prod-web (sg-0a1b2c3d)
you:"What are we spending the most on this month?"
$aws ce get-cost-and-usage --time-period Start=2026-03-01,End=2026-03-17 --granularity MONTHLY ...
Top spend: EC2 ($8,241) · RDS ($3,892) · S3 ($1,247)
you:"Spin up a t3.medium in us-west-2 with the api-server AMI"
$aws ec2 run-instances --image-id ami-0a1b2c3d --instance-type t3.medium --subnet-id ...
Instance i-0f4e8d2a launched. IP: 10.0.3.47

Your AWS infrastructure, at a glance.

47
Running instances
12
Security groups
$23.4k
Monthly spend
99.97%
Uptime SLA

Your cloud. One conversation.

camelAI connects to AWS and builds you real management tools — not just read-only dashboards. Spin up, shut down, resize, and reconfigure — all from a conversation.

Infrastructure Manager — us-east-1Live
5 running1 stopped1 terminated
NameTypeStatusCost
api-server-prod-1
c5.2xlargeRunning$4.90/day
api-server-prod-2
c5.2xlargeRunning$4.90/day
worker-queue-1
m5.xlargeRunning$2.76/day
staging-api
t3.mediumStopped$0.00/day
ml-training-gpu
p3.2xlargeRunning$22.03/day
legacy-monolithIdle
m4.largeRunning$2.88/day
test-env-feb
t3.smallTerminated$0.00/day
7 instances · 3 regions2 optimization opportunities found

We built our own cost dashboard. Then we built yours.

We use camelAI to monitor our own AWS spend every day. The same agent that optimizes our infrastructure can optimize yours.

Cost Explorer — March 2026
Month-to-date
$23,400
Potential savings
$1,629/mo
EC2$8,241
6 instances under 10% CPU — save ~$1,200/mo
RDS$3,892
Switch dev DB to Graviton — save ~$340/mo
S3$1,247
Lambda$892
CloudFront$634
EBS$521
14 unattached volumes — save ~$89/mo
Other$7,973
We use this at camelAI

camelAI runs on AWS. Our agent monitors our own infrastructure costs, identifies idle resources, and alerts us when spend anomalies occur. The cost dashboard it built for us has saved us over $4,800/mo in optimizations we would have missed manually.

Savings opportunities found
Right-size 6 over-provisioned instances
$1,200/mo
Switch dev RDS to Graviton processor
$340/mo
Delete 14 unattached EBS volumes
$89/mo
Total potential savings$1,629/mo

What DevOps engineers build with camelAI.

Infrastructure management

Spin up or shut down EC2 instances, resize servers, and configure load balancers — all through conversation. No more clicking through 14 console pages.

Cost optimization

Identify idle resources, right-size instances, and find Reserved Instance opportunities. Your agent surfaces savings you'd miss in the billing console.

Security & compliance

Audit security groups, find overly permissive IAM policies, and check for public S3 buckets. Build compliance dashboards your team can actually read.

Resource right-sizing

Analyze CPU, memory, and network utilization across your fleet. Get specific recommendations: 'Switch i-0a1b from c5.2xlarge to c5.xlarge — save $74/mo.'

Automated cleanup

Schedule your agent to run nightly, find unattached EBS volumes, unused Elastic IPs, and stale snapshots — then clean them up or report findings.

Multi-account inventory

Aggregate resources across all your AWS accounts into one dashboard. Know exactly what's running, where, and how much it costs — across the entire org.

Your agent checks for waste every night.

Schedule your camelAI agent to run on a cron. It scans your AWS account, finds idle resources, takes action on what you've pre-approved, and reports back in the morning.

cron: 0 2 * * * — nightly-aws-cleanup
[02:00:00]Starting nightly idle resource scan across 3 accounts...
[02:00:12]Scanned 47 EC2 instances, 23 RDS instances, 156 EBS volumes
[02:00:13]Found 6 EC2 instances with <10% avg CPU over 7 days
[02:00:14]Found 14 unattached EBS volumes (892 GB total)
[02:00:14]Found 3 Elastic IPs not associated with any instance
[02:00:15]Stopped 4 dev/staging instances (tagged auto-stop: true)
[02:00:15]Snapshotted & deleted 8 unattached EBS volumes
[02:00:16]Released 3 unused Elastic IPs
[02:00:17]Night shift complete. Estimated savings: $41.20/day ($1,236/mo)
$
Runs at
2:00 AM
every night
Resources scanned
226
across 3 accounts
Monthly savings
$1,236
fully automated

What will you automate on AWS?

Connect to our AWS account and build a cost dashboard that breaks down spend by service, team, and environment. Update it daily via cron and alert me in Slack when any service spikes more than 20%.

Try this prompt

Scan all our EC2 instances across us-east-1 and us-west-2. Find anything running below 15% CPU utilization for the past week and give me right-sizing recommendations with projected savings.

Try this prompt

Audit our security groups — find any that allow 0.0.0.0/0 ingress on ports other than 80 and 443. Build a compliance report I can share with the security team.

Try this prompt

Set up a nightly cron job that checks for unattached EBS volumes, unused Elastic IPs, and idle instances. Auto-stop anything tagged 'env:dev' after 8 PM, and email me a summary.

Try this prompt

Your cloud is complex.

Your tools shouldn’t be.