How to build AI agents from scratch (9 steps): 1. Purpose & scope 2. I/O schemas 3. System instructions 4. Reasoning + tools 5. Multi-agent orchestration 6. Memory & context 7. Multimodal 8. Structured outputs 9. UI / API Ship agents that do work, not just talk.
@ingliguori
-
AI Agents: Reasoning, Planning, and Tool Use for Goal Achievement
By
–
AI Agent = AI that reasons + plans + uses tools + acts to hit a goal.
Loop: goal → sense → plan → tool use → act → eval → memory → improve. Core parts: system prompt, tools/APIs, short- & long-term memory, adaptive traits. Shift: chatbots give answers; agents deliver -
Exploring AI Layers: Neural Networks and Deep Learning Fundamentals
By
–
Peeling back the layers of AI! This infographic unravels the complex world from Neural Networks to Deep Learning. Dive deeper into AI with the insights from @ingliguori
's 'The Digital Edge' http://
bit.ly/3u4pILl #ArtificialIntelligence #MachineLearning #DeepLearning -
AI-Powered Learning: Master Anything Faster with Smart Techniques
By
–
How to learn anything faster with AI Explain it like I’m 5
Examples & analogies
Quizzes, mind maps, role-play
Expert debates + feedback loops AI = tutor, coach, and study partner. #AI #Learning #Productivity #GenAI -
Machine Learning Success: Mastering the Consistent Workflow Loop
By
–
ML isn’t magic — it’s a workflow. 1. understand data 2. choose right algorithm 3. train 4. test 5. optimize 6. deploy + monitor + retrain The winners are the teams who run this loop consistently. #MachineLearning #AI #DataScience #MLops
-
AI Success: 8-Step Process for Real Machine Learning Value
By
–
AI isn’t magic. It’s a process. 8 steps:
define problem
collect/prepare data
choose model
train
evaluate
fine-tune
deploy
ensure ethics & safety Real value comes from running this loop well. #AI #MachineLearning #DataScience #ResponsibleAI -
25 Killer AI Tools Across the Stack for Every Need
By
–
25 killer AI tools across the stack Bots: ChatGPT, Claude, Bard/Gemini, Bing AI Video: Runway, HeyGen, Veed, Pictory Images: Midjourney, DALL-E 3, Leonardo, Firefly Slides: Tome, http://
Slides.ai, Decktopus, http://
Beautiful.ai Productivity: Taskade, -
AI Tools Reach Massive Scale: ChatGPT Leads with 4.7B Monthly Visits
By
–
AI tool usage at scale is here. ChatGPT: 4.7B monthly visits (Jan 2025)
Canva: 887M
Google Translate: 595M
DeepSeek: 268M (massive surge) http://
Character.AI: 226M
Perplexity: 133M
Gemini: 118M
Claude: 105M AI isn’t a trend anymore — it’s infrastructure. What’s your #1 -
9 AI Skills That Will Matter in 2026 Beyond ChatGPT
By
–
9 AI skills that will actually matter in 2026
(not just “use ChatGPT”) Prompt engineering RAG pipelines Agentic workflows Fine-tuning & distillation LLM evaluation & red-teaming Cost & latency optimization Tool calling + function calling Multimodal -
AI Exceeds Humans in Technical Tasks, Humans Lead in Multimodal Reasoning
By
–
AI now exceeds human performance in most technical tasks — but humans still lead in multimodal reasoning The next frontier isn’t about replacing humans, but amplifying how we think across data, images & language. Source: Stanford AI Index 2025
#AI #Innovation #FutureOfWork