PROMPT ENGINEERING - AI Dynamics

Guide to building an AI second brain with Claude and Obsidian

By

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22 June 2026 9h00

🚨 Yarchi just published an awesome guide on building an AI "second brain" using Claude and Obsidian

Based on @karpathy's LLM Wiki concept, the idea is to stop starting from a blank chat window and start building a compounding knowledge graph.

Obsidian handles the local… https://t.co/Jl8sflLBuH pic.twitter.com/kbXaJaD0gw
— Charly Wargnier (@DataChaz) 22 juin 2026

Yarchi just published an awesome guide on building an AI "second brain" using Claude and Obsidian Based on @karpathy
's LLM Wiki concept, the idea is to stop starting from a blank chat window and start building a compounding knowledge graph. Obsidian handles the local

→ View original post on X — @datachaz

22 June 2026

Structured prompts for better AI results

By

@ingliguori

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21 June 2026 9h45

Better prompts = better AI outputs • Structured → precision
• Analytical → research
• Conversational → ideas
• Planning → execution Great prompts are frameworks, not guesses. Via Giuliano Liguori (
@ingliguori
) #AI #Prompts #GenAI

→ View original post on X — @ingliguori

21 June 2026

Request to make him hold a minigun

By

@plinz

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21 June 2026 4h50

@grok can you make it look like he is holding a minigun

→ View original post on X — @plinz

21 June 2026

Traditional manufacturing software vs AI-generated: bespoke in a week

By

@fogoros

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21 June 2026 0h30

Traditional manufacturing software: buy standard package, customize for months, vendor teams build features. AI-generated software: bespoke from day one, one week to production, any operator builds through prompts. Partner content with Cybus. #cybus_iiot pic.twitter.com/zkVkJWYcAZ
— Lucian Fogoros (@fogoros) 20 juin 2026

Traditional manufacturing software: buy standard package, customize for months, vendor teams build features. AI-generated software: bespoke from day one, one week to production, any operator builds through prompts. Partner content with Cybus. #cybus_iiot

→ View original post on X — @fogoros

21 June 2026

Building LLM Applications with DSPy

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@gp_pulipaka

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20 June 2026 20h26

Building LLM Applications with DSPy! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Books #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode

→ View original post on X — @gp_pulipaka

20 June 2026

ColBERT more accurate than embedding model with long tool descriptions and prompts

By

@maximelabonne

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20 June 2026 20h19

Yes, it also works well with the embedding model, but ColBERT is a bit more accurate thanks to long tool descriptions + prompts.

→ View original post on X — @maximelabonne

20 June 2026

100 useful tips to master Claude

By

@mit_csail

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20 June 2026 18h00

100 useful tips to master Claude, by @rubenhassid.

→ View original post on X — @mit_csail

20 June 2026

Chain-of-Thought Reasoning Declared Decorative in Major LLMs

By

@ronald_vanloon

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20 June 2026 12h56

Chain-Of-Thought Reasoning Proven ‘Decorative’ in Major Language Models
by Martin Anderson @UniteAi Learn more: https://
bit.ly/3QI83F4 #AI #GenerativeAI #LLM #ArtificialIntelligence #MachineLearning

→ View original post on X — @ronald_vanloon

20 June 2026

Mastering AI communication for productivity

By

@mvollmer1

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20 June 2026 8h07

The biggest AI productivity hack isn't a new model. It's learning how to communicate with the models we already have. Most people use AI like a search engine: short prompt in, average answer out. The real value comes from providing context, defining the role, setting

→ View original post on X — @mvollmer1

20 June 2026