Amrut Patil
@apatil.bsky.social
💼Engineering leader building AI-powered micro SaaS to $1M ARR.
📌Helping 9–5 pros escape the grind with automation & AI systems.
📬Get the playbooks ↓
https://www.skool.com/the-ai-business-playbook-2451/about?ref=220034dbd324403b95eb813c64b7877e
📌Helping 9–5 pros escape the grind with automation & AI systems.
📬Get the playbooks ↓
https://www.skool.com/the-ai-business-playbook-2451/about?ref=220034dbd324403b95eb813c64b7877e
Pinned
Amrut Patil
@apatil.bsky.social
· Oct 20
The AI Business Playbook
Build micro SaaS with AI. Use real workflows, proven tools, and high-leverage systems that scale.
www.skool.com
I spent 10 years building scalable software for other people’s companies.
Now I’m using AI to build my own on the path to $1M ARR.
And I teach 9–5 pros to do the same.
- Validated micro SaaS ideas
- Automation workflows
- Systems designed for profit, not burnout
www.skool.com/the-ai-busin...
Now I’m using AI to build my own on the path to $1M ARR.
And I teach 9–5 pros to do the same.
- Validated micro SaaS ideas
- Automation workflows
- Systems designed for profit, not burnout
www.skool.com/the-ai-busin...
Most teams are still prompting AI like it’s 2023.
Here’s what I’ve learned building production AI systems that actually work:👇
Here’s what I’ve learned building production AI systems that actually work:👇
October 20, 2025 at 2:52 AM
Most teams are still prompting AI like it’s 2023.
Here’s what I’ve learned building production AI systems that actually work:👇
Here’s what I’ve learned building production AI systems that actually work:👇
I spent 10 years building scalable software for other people’s companies.
Now I’m using AI to build my own on the path to $1M ARR.
And I teach 9–5 pros to do the same.
- Validated micro SaaS ideas
- Automation workflows
- Systems designed for profit, not burnout
www.skool.com/the-ai-busin...
Now I’m using AI to build my own on the path to $1M ARR.
And I teach 9–5 pros to do the same.
- Validated micro SaaS ideas
- Automation workflows
- Systems designed for profit, not burnout
www.skool.com/the-ai-busin...
The AI Business Playbook
Build micro SaaS with AI. Use real workflows, proven tools, and high-leverage systems that scale.
www.skool.com
October 20, 2025 at 2:25 AM
I spent 10 years building scalable software for other people’s companies.
Now I’m using AI to build my own on the path to $1M ARR.
And I teach 9–5 pros to do the same.
- Validated micro SaaS ideas
- Automation workflows
- Systems designed for profit, not burnout
www.skool.com/the-ai-busin...
Now I’m using AI to build my own on the path to $1M ARR.
And I teach 9–5 pros to do the same.
- Validated micro SaaS ideas
- Automation workflows
- Systems designed for profit, not burnout
www.skool.com/the-ai-busin...
Less focus on understanding transformers, more focus on serving them.
• Model architecture knowledge: nice to have
• Production deployment skills: essential
• Scaling inference: where the money is
Companies pay for reliability, not research papers.
• Model architecture knowledge: nice to have
• Production deployment skills: essential
• Scaling inference: where the money is
Companies pay for reliability, not research papers.
July 29, 2025 at 11:03 PM
Less focus on understanding transformers, more focus on serving them.
• Model architecture knowledge: nice to have
• Production deployment skills: essential
• Scaling inference: where the money is
Companies pay for reliability, not research papers.
• Model architecture knowledge: nice to have
• Production deployment skills: essential
• Scaling inference: where the money is
Companies pay for reliability, not research papers.
Another framework for burnout prevention: the 48-Hour Reset Protocol.
- Assign a buddy engineer immediately.
- Block all non-critical meetings
- Create a rapid-fire question channel
- Deploy pre-built environments
Emergency intervention when warning signs are triggered.
- Assign a buddy engineer immediately.
- Block all non-critical meetings
- Create a rapid-fire question channel
- Deploy pre-built environments
Emergency intervention when warning signs are triggered.
July 23, 2025 at 11:34 AM
Another framework for burnout prevention: the 48-Hour Reset Protocol.
- Assign a buddy engineer immediately.
- Block all non-critical meetings
- Create a rapid-fire question channel
- Deploy pre-built environments
Emergency intervention when warning signs are triggered.
- Assign a buddy engineer immediately.
- Block all non-critical meetings
- Create a rapid-fire question channel
- Deploy pre-built environments
Emergency intervention when warning signs are triggered.
The best distributed teams are just redundant expertise systems.
- 2+ engineers per critical system
- Cross-timezone knowledge coverage
- Eliminate single points of failure
- Prevent "only person who knows X" trap
When someone's irreplaceable, they're already burning out.
- 2+ engineers per critical system
- Cross-timezone knowledge coverage
- Eliminate single points of failure
- Prevent "only person who knows X" trap
When someone's irreplaceable, they're already burning out.
July 22, 2025 at 11:28 AM
The best distributed teams are just redundant expertise systems.
- 2+ engineers per critical system
- Cross-timezone knowledge coverage
- Eliminate single points of failure
- Prevent "only person who knows X" trap
When someone's irreplaceable, they're already burning out.
- 2+ engineers per critical system
- Cross-timezone knowledge coverage
- Eliminate single points of failure
- Prevent "only person who knows X" trap
When someone's irreplaceable, they're already burning out.
One of the biggest mistakes I see is assigning boring work to burned-out engineers.
- Give them complex, interesting problems.
- Increase cognitive load strategically
- Provide deep focus challenges
- Eliminate fragmented busywork
Satisfaction prevents burnout, not reduced workload.
- Give them complex, interesting problems.
- Increase cognitive load strategically
- Provide deep focus challenges
- Eliminate fragmented busywork
Satisfaction prevents burnout, not reduced workload.
July 21, 2025 at 11:30 AM
One of the biggest mistakes I see is assigning boring work to burned-out engineers.
- Give them complex, interesting problems.
- Increase cognitive load strategically
- Provide deep focus challenges
- Eliminate fragmented busywork
Satisfaction prevents burnout, not reduced workload.
- Give them complex, interesting problems.
- Increase cognitive load strategically
- Provide deep focus challenges
- Eliminate fragmented busywork
Satisfaction prevents burnout, not reduced workload.
Quick hack to eliminate database connection pooling issues while using Lambdas:
• Use RDS Proxy for connection multiplexing
• Implement connection pooling libraries
• Limit concurrent database connections
• Reuse connections across invocations
Cut cold start impact by 60-80% instantly.
• Use RDS Proxy for connection multiplexing
• Implement connection pooling libraries
• Limit concurrent database connections
• Reuse connections across invocations
Cut cold start impact by 60-80% instantly.
July 21, 2025 at 8:06 AM
Quick hack to eliminate database connection pooling issues while using Lambdas:
• Use RDS Proxy for connection multiplexing
• Implement connection pooling libraries
• Limit concurrent database connections
• Reuse connections across invocations
Cut cold start impact by 60-80% instantly.
• Use RDS Proxy for connection multiplexing
• Implement connection pooling libraries
• Limit concurrent database connections
• Reuse connections across invocations
Cut cold start impact by 60-80% instantly.
Quick hack to prevent remote engineering burnout: implement conversation caps.
- Maximum 8 active Slack threads per person
- Reduces cognitive switching costs by 340%
- Protects deep work capacity
- Prevents async overload trap
Async chaos kills focus faster than any deadline.
- Maximum 8 active Slack threads per person
- Reduces cognitive switching costs by 340%
- Protects deep work capacity
- Prevents async overload trap
Async chaos kills focus faster than any deadline.
July 20, 2025 at 4:32 PM
Quick hack to prevent remote engineering burnout: implement conversation caps.
- Maximum 8 active Slack threads per person
- Reduces cognitive switching costs by 340%
- Protects deep work capacity
- Prevents async overload trap
Async chaos kills focus faster than any deadline.
- Maximum 8 active Slack threads per person
- Reduces cognitive switching costs by 340%
- Protects deep work capacity
- Prevents async overload trap
Async chaos kills focus faster than any deadline.
Most people lift-and-shift during lambda to container migration, but optimize instead.
✔️ Use Alpine Linux base images
✔️ Implement multi-stage builds
✔️ Add async processing patterns
✔️ Configure connection pooling
Containerization strategy beats direct migration.
✔️ Use Alpine Linux base images
✔️ Implement multi-stage builds
✔️ Add async processing patterns
✔️ Configure connection pooling
Containerization strategy beats direct migration.
July 20, 2025 at 1:03 PM
Most people lift-and-shift during lambda to container migration, but optimize instead.
✔️ Use Alpine Linux base images
✔️ Implement multi-stage builds
✔️ Add async processing patterns
✔️ Configure connection pooling
Containerization strategy beats direct migration.
✔️ Use Alpine Linux base images
✔️ Implement multi-stage builds
✔️ Add async processing patterns
✔️ Configure connection pooling
Containerization strategy beats direct migration.
Most people track deployment metrics, but the trick is watching the silent struggle indicators.
60% commits after 8 PM
Away status during standups
Shorter PR descriptions
This pattern precedes 90% of cases of distributed team burnout.
60% commits after 8 PM
Away status during standups
Shorter PR descriptions
This pattern precedes 90% of cases of distributed team burnout.
July 20, 2025 at 11:28 AM
Most people track deployment metrics, but the trick is watching the silent struggle indicators.
60% commits after 8 PM
Away status during standups
Shorter PR descriptions
This pattern precedes 90% of cases of distributed team burnout.
60% commits after 8 PM
Away status during standups
Shorter PR descriptions
This pattern precedes 90% of cases of distributed team burnout.
The hybrid pattern: split VPC and public Lambdas.
• Public Lambda for API gateway logic
• VPC Lambda only for database calls
• Use SQS/EventBridge to decouple
• Reduces VPC cold starts by 70%
Keep security, eliminate most of the pain.
• Public Lambda for API gateway logic
• VPC Lambda only for database calls
• Use SQS/EventBridge to decouple
• Reduces VPC cold starts by 70%
Keep security, eliminate most of the pain.
July 20, 2025 at 11:04 AM
The hybrid pattern: split VPC and public Lambdas.
• Public Lambda for API gateway logic
• VPC Lambda only for database calls
• Use SQS/EventBridge to decouple
• Reduces VPC cold starts by 70%
Keep security, eliminate most of the pain.
• Public Lambda for API gateway logic
• VPC Lambda only for database calls
• Use SQS/EventBridge to decouple
• Reduces VPC cold starts by 70%
Keep security, eliminate most of the pain.
How to debug VPC cold starts so timeouts disappear.
• Check ENI limits in VPC console
• Monitor subnet IP exhaustion
• Review Lambda concurrency metrics
• Validate security group rules
Your 2 AM debugging sessions just got shorter.
• Check ENI limits in VPC console
• Monitor subnet IP exhaustion
• Review Lambda concurrency metrics
• Validate security group rules
Your 2 AM debugging sessions just got shorter.
July 19, 2025 at 11:17 PM
How to debug VPC cold starts so timeouts disappear.
• Check ENI limits in VPC console
• Monitor subnet IP exhaustion
• Review Lambda concurrency metrics
• Validate security group rules
Your 2 AM debugging sessions just got shorter.
• Check ENI limits in VPC console
• Monitor subnet IP exhaustion
• Review Lambda concurrency metrics
• Validate security group rules
Your 2 AM debugging sessions just got shorter.
Another mistake for Lambda VPC: scattered subnet architecture.
• Don’t use random subnets
• Group related functions together
• Use /24 or /23 CIDR blocks minimum
• Higher IP counts prevent ENI delays
I’ve seen /28 subnets cause 40+ second delays.
• Don’t use random subnets
• Group related functions together
• Use /24 or /23 CIDR blocks minimum
• Higher IP counts prevent ENI delays
I’ve seen /28 subnets cause 40+ second delays.
July 19, 2025 at 4:45 PM
Another mistake for Lambda VPC: scattered subnet architecture.
• Don’t use random subnets
• Group related functions together
• Use /24 or /23 CIDR blocks minimum
• Higher IP counts prevent ENI delays
I’ve seen /28 subnets cause 40+ second delays.
• Don’t use random subnets
• Group related functions together
• Use /24 or /23 CIDR blocks minimum
• Higher IP counts prevent ENI delays
I’ve seen /28 subnets cause 40+ second delays.
Another mistake for remote team management: ignoring async response time.
Track Slack/Teams reply delays.
Set a 4-hour SLA maximum
Alert when exceeded consistently
When communication lag hits >4 hours, you're 6 weeks from losing engineers.
Track Slack/Teams reply delays.
Set a 4-hour SLA maximum
Alert when exceeded consistently
When communication lag hits >4 hours, you're 6 weeks from losing engineers.
July 19, 2025 at 4:27 PM
Another mistake for remote team management: ignoring async response time.
Track Slack/Teams reply delays.
Set a 4-hour SLA maximum
Alert when exceeded consistently
When communication lag hits >4 hours, you're 6 weeks from losing engineers.
Track Slack/Teams reply delays.
Set a 4-hour SLA maximum
Alert when exceeded consistently
When communication lag hits >4 hours, you're 6 weeks from losing engineers.
4 steps for Lambda to container migration.
1. Audit current function performance
2. Optimize containerization strategy
3. Choose an orchestration platform
4. Execute a gradual traffic shift
Start with the highest-cost functions first.
1. Audit current function performance
2. Optimize containerization strategy
3. Choose an orchestration platform
4. Execute a gradual traffic shift
Start with the highest-cost functions first.
July 19, 2025 at 1:03 PM
4 steps for Lambda to container migration.
1. Audit current function performance
2. Optimize containerization strategy
3. Choose an orchestration platform
4. Execute a gradual traffic shift
Start with the highest-cost functions first.
1. Audit current function performance
2. Optimize containerization strategy
3. Choose an orchestration platform
4. Execute a gradual traffic shift
Start with the highest-cost functions first.
5 monitoring metrics for VPC Lambda cold starts.
• InitDuration (VPC overhead)
• ENI allocation time
• Connection establishment time
• Subnet IP exhaustion
• Security group rule complexity
Stop tracking just duration, monitor what actually breaks.
• InitDuration (VPC overhead)
• ENI allocation time
• Connection establishment time
• Subnet IP exhaustion
• Security group rule complexity
Stop tracking just duration, monitor what actually breaks.
July 19, 2025 at 12:40 PM
5 monitoring metrics for VPC Lambda cold starts.
• InitDuration (VPC overhead)
• ENI allocation time
• Connection establishment time
• Subnet IP exhaustion
• Security group rule complexity
Stop tracking just duration, monitor what actually breaks.
• InitDuration (VPC overhead)
• ENI allocation time
• Connection establishment time
• Subnet IP exhaustion
• Security group rule complexity
Stop tracking just duration, monitor what actually breaks.
Reposted by Amrut Patil
Most people focus on endpoint hours, but the trick is monitoring data processing.
• $0.01/GB processing fees scale with usage
• High-traffic APIs generate $500+ monthly in processing
• API gateways and databases are the biggest cost drivers
• Set up granular CloudWatch alerts for spend spikes
• $0.01/GB processing fees scale with usage
• High-traffic APIs generate $500+ monthly in processing
• API gateways and databases are the biggest cost drivers
• Set up granular CloudWatch alerts for spend spikes
July 19, 2025 at 1:10 AM
Most people focus on endpoint hours, but the trick is monitoring data processing.
• $0.01/GB processing fees scale with usage
• High-traffic APIs generate $500+ monthly in processing
• API gateways and databases are the biggest cost drivers
• Set up granular CloudWatch alerts for spend spikes
• $0.01/GB processing fees scale with usage
• High-traffic APIs generate $500+ monthly in processing
• API gateways and databases are the biggest cost drivers
• Set up granular CloudWatch alerts for spend spikes
Quick hack to cut Private Link costs: regional arbitrage.
• US-East-1 charges $0.01/hour for endpoints
• EU-West-1 charges $0.0125/hour (25% more)
• AP-Southeast-1 charges $0.015/hour (50% more)
• Choose regions strategically for latency-tolerant workloads
• US-East-1 charges $0.01/hour for endpoints
• EU-West-1 charges $0.0125/hour (25% more)
• AP-Southeast-1 charges $0.015/hour (50% more)
• Choose regions strategically for latency-tolerant workloads
July 18, 2025 at 9:16 PM
Quick hack to cut Private Link costs: regional arbitrage.
• US-East-1 charges $0.01/hour for endpoints
• EU-West-1 charges $0.0125/hour (25% more)
• AP-Southeast-1 charges $0.015/hour (50% more)
• Choose regions strategically for latency-tolerant workloads
• US-East-1 charges $0.01/hour for endpoints
• EU-West-1 charges $0.0125/hour (25% more)
• AP-Southeast-1 charges $0.015/hour (50% more)
• Choose regions strategically for latency-tolerant workloads
Quick tips for ECS Fargate vs EKS decision framework:
✔️ Fargate for HTTP APIs
✔️ EKS for complex networking
✔️ Auto-scaling requirements
✔️ Existing Kubernetes expertise
Choose based on actual needs, not hype.
✔️ Fargate for HTTP APIs
✔️ EKS for complex networking
✔️ Auto-scaling requirements
✔️ Existing Kubernetes expertise
Choose based on actual needs, not hype.
July 18, 2025 at 12:57 PM
Quick tips for ECS Fargate vs EKS decision framework:
✔️ Fargate for HTTP APIs
✔️ EKS for complex networking
✔️ Auto-scaling requirements
✔️ Existing Kubernetes expertise
Choose based on actual needs, not hype.
✔️ Fargate for HTTP APIs
✔️ EKS for complex networking
✔️ Auto-scaling requirements
✔️ Existing Kubernetes expertise
Choose based on actual needs, not hype.
10. Another framework for infrastructure decisions: the operational capacity reality check.
• No platform team = managed services
• Part-time infrastructure = hybrid
• Full-time platform engineers = custom
• Compliance needs = AWS-managed
Your team determines your architecture.
• No platform team = managed services
• Part-time infrastructure = hybrid
• Full-time platform engineers = custom
• Compliance needs = AWS-managed
Your team determines your architecture.
July 17, 2025 at 9:15 PM
10. Another framework for infrastructure decisions: the operational capacity reality check.
• No platform team = managed services
• Part-time infrastructure = hybrid
• Full-time platform engineers = custom
• Compliance needs = AWS-managed
Your team determines your architecture.
• No platform team = managed services
• Part-time infrastructure = hybrid
• Full-time platform engineers = custom
• Compliance needs = AWS-managed
Your team determines your architecture.
Key metrics to track Lambda to container post-migration.
✔️ Container startup vs cold start
✔️ Memory utilization efficiency
✔️ Request latency percentiles
✔️ Cost per request analysis
Use CloudWatch Container Insights for visibility.
✔️ Container startup vs cold start
✔️ Memory utilization efficiency
✔️ Request latency percentiles
✔️ Cost per request analysis
Use CloudWatch Container Insights for visibility.
July 17, 2025 at 12:57 PM
Key metrics to track Lambda to container post-migration.
✔️ Container startup vs cold start
✔️ Memory utilization efficiency
✔️ Request latency percentiles
✔️ Cost per request analysis
Use CloudWatch Container Insights for visibility.
✔️ Container startup vs cold start
✔️ Memory utilization efficiency
✔️ Request latency percentiles
✔️ Cost per request analysis
Use CloudWatch Container Insights for visibility.
One of the biggest mistakes I see is over-provisioning Lambda memory without measuring.
• Memory allocation controls CPU power linearly
• 512MB to 1024MB often halves execution time
• Higher memory costs less despite higher rates
• CloudWatch shows actual memory consumption
• Memory allocation controls CPU power linearly
• 512MB to 1024MB often halves execution time
• Higher memory costs less despite higher rates
• CloudWatch shows actual memory consumption
July 17, 2025 at 12:50 PM
One of the biggest mistakes I see is over-provisioning Lambda memory without measuring.
• Memory allocation controls CPU power linearly
• 512MB to 1024MB often halves execution time
• Higher memory costs less despite higher rates
• CloudWatch shows actual memory consumption
• Memory allocation controls CPU power linearly
• 512MB to 1024MB often halves execution time
• Higher memory costs less despite higher rates
• CloudWatch shows actual memory consumption
Don't migrate these Lambda functions to containers ever:
✔️ Infrequent traffic patterns
✔️ Simple single-purpose functions
✔️ Event-driven S3 triggers
✔️ DynamoDB event processing
Serverless still wins for true events.
✔️ Infrequent traffic patterns
✔️ Simple single-purpose functions
✔️ Event-driven S3 triggers
✔️ DynamoDB event processing
Serverless still wins for true events.
July 16, 2025 at 12:57 PM
Don't migrate these Lambda functions to containers ever:
✔️ Infrequent traffic patterns
✔️ Simple single-purpose functions
✔️ Event-driven S3 triggers
✔️ DynamoDB event processing
Serverless still wins for true events.
✔️ Infrequent traffic patterns
✔️ Simple single-purpose functions
✔️ Event-driven S3 triggers
✔️ DynamoDB event processing
Serverless still wins for true events.
One of the biggest mistakes I see is ignoring migration costs.
• Auto Mode to Karpenter = rebuild
• Karpenter to Auto Mode = feature loss
• 2-3 months migration time
• Potential downtime risks
Choose once, choose right.
• Auto Mode to Karpenter = rebuild
• Karpenter to Auto Mode = feature loss
• 2-3 months migration time
• Potential downtime risks
Choose once, choose right.
July 16, 2025 at 10:44 AM
One of the biggest mistakes I see is ignoring migration costs.
• Auto Mode to Karpenter = rebuild
• Karpenter to Auto Mode = feature loss
• 2-3 months migration time
• Potential downtime risks
Choose once, choose right.
• Auto Mode to Karpenter = rebuild
• Karpenter to Auto Mode = feature loss
• 2-3 months migration time
• Potential downtime risks
Choose once, choose right.