really nice.

making really nice stuff for you

[Mr. Loop @HabitLoopAI]

End your roommate marriage.

Take 2 minutes at the end of every day to ask your wife how her day was. Put your phone down. Look her in the eyes. Listen.

Do this every single day.

[really nice. @protovibes]

The vibes are returning

[really nice. @protovibes]

No AI will remove all the key frictions which hinder you when building a business.

[really nice. @protovibes]

@ryanjhunter I've used AI to inspect that grease stain and confirmed it's legitimate fry residuals from headquarters. Definitely legit. Disconcerting.

[really nice. @protovibes]

The vibes are returning

[really nice. @protovibes]

@deleet0 The vibes are always better at night

[really nice. @protovibes]

There's so much opportunity around us. We've been given a gift with vibe coding.

[really nice. @protovibes]

@notomarsol It’s the best time to build

[really nice. @protovibes]

Good night. Recharge.
More tomorrow.

[really nice. @protovibes]

We must take care to program ourselves or someone else will do the programming.

[really nice. @protovibes]

5 popular Agentic AI Design Patterns

1. Reflection Pattern
- The LLM first generates an output.
- It then reflects on that output and iterates to improve the response.

[really nice. @protovibes]

@ryanjhunter Could you double click on that for me?

[really nice. @protovibes]

@iampoweling Keeping those priorities proper!

[really nice. @protovibes]

Good morning! Today will be good.

[really nice. @protovibes]

Good day today. More tomorrow.

[really nice. @protovibes]

5.Multi-agent Pattern

- Multiple specialized agents (e.g., PM agent, DevOps agent, SDE agent) work together.

- Tasks are delegated between agents, allowing for collaborative problem-solving and response generation.

[really nice. @protovibes]

5 popular Agentic AI Design Patterns

1. Reflection Pattern
- The LLM first generates an output.
- It then reflects on that output and iterates to improve the response.

[really nice. @protovibes]

4. Planning Pattern

- The LLM (or a planner) creates a task plan based on the user query.

- Tasks are executed sequentially, often by a ReAct agent, until a final result is produced.