๐ ๏ธ๐งญย How to Build AI Agents from Scratch โ Even If Youโve Never Done It Before.
Using my ๐ฆ๐ ๐๐ฅ๐ง ๐๐ข๐ ๐ฃ๐๐ฆ๐ฆ ๐ฟ๐ผ๐ฎ๐ฑ๐บ๐ฎ๐ฝ I built ๐ฎ ๐๐๐ฏ๐ฒ๐ฟ ๐๐ฒ๐ณ๐ฒ๐ป๐๐ฒ ๐ฆ๐๐๐๐ฒ๐บ in 12 minutes in Langgraph.
Here is my roadmap so you can build it Yourself:
๐ฃ๐ต๐ฎ๐๐ฒ ๐ญ: https://t.co/Gvv77rys3M
Using my ๐ฆ๐ ๐๐ฅ๐ง ๐๐ข๐ ๐ฃ๐๐ฆ๐ฆ ๐ฟ๐ผ๐ฎ๐ฑ๐บ๐ฎ๐ฝ I built ๐ฎ ๐๐๐ฏ๐ฒ๐ฟ ๐๐ฒ๐ณ๐ฒ๐ป๐๐ฒ ๐ฆ๐๐๐๐ฒ๐บ in 12 minutes in Langgraph.
Here is my roadmap so you can build it Yourself:
๐ฃ๐ต๐ฎ๐๐ฒ ๐ญ: https://t.co/Gvv77rys3M
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Want to differentiate yourself as an AI Engineer?
๐ฆ๐๐ฎ๐ป๐ฑ ๐ผ๐๐ ๐๐ถ๐๐ต ๐๐ต๐ฒ๐๐ฒ ๐ต ๐ต๐ถ๐ด๐ต-๐ถ๐บ๐ฝ๐ฎ๐ฐ๐ ๐ฝ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐๐ ๐๐๐ถ๐ป๐ด ๐๐ด๐ฒ๐ป๐๐, ๐๐๐ ๐, ๐ฎ๐ป๐ฑ ๐ฅ๐๐.
ใ 1. Video Analyzer Multi-Agent RAG Agent with CrewAI Build a voice-enabled multi-agent https://t.co/drQqE6oPBK
๐ฆ๐๐ฎ๐ป๐ฑ ๐ผ๐๐ ๐๐ถ๐๐ต ๐๐ต๐ฒ๐๐ฒ ๐ต ๐ต๐ถ๐ด๐ต-๐ถ๐บ๐ฝ๐ฎ๐ฐ๐ ๐ฝ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐๐ ๐๐๐ถ๐ป๐ด ๐๐ด๐ฒ๐ป๐๐, ๐๐๐ ๐, ๐ฎ๐ป๐ฑ ๐ฅ๐๐.
ใ 1. Video Analyzer Multi-Agent RAG Agent with CrewAI Build a voice-enabled multi-agent https://t.co/drQqE6oPBK
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Generative AI Mindmap to learn in 2026!!!
#ai #tech #productivity #trending https://t.co/afV3VruRxA
#ai #tech #productivity #trending https://t.co/afV3VruRxA
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๐ ๏ธ๐ How to Fix AI Agents
Before They Break Your Workflow
๐ต ๐ฃ๐ฎ๐ถ๐ป ๐ฃ๐ผ๐ถ๐ป๐๐. ๐ต ๐๐ถ๐ ๐ฒ๐. ๐ง๐ต๐ฒ ๐จ๐น๐๐ถ๐บ๐ฎ๐๐ฒ ๐๐ฒ๐ด๐ถ๐ป๐ป๐ฒ๐ฟ ๐๐ต๐ฒ๐ฎ๐๐๐ต๐ฒ๐ฒ๐ ๐ณ๐ผ๐ฟ ๐๐ ๐๐ด๐ฒ๐ป๐๐.
ใ๐ฃ๐ฎ๐ถ๐ป ๐ฌ: I Donโt Even Know What an AI Agent Is
โ I know LLMs, but โagentsโ still https://t.co/PedTlQ2udA
Before They Break Your Workflow
๐ต ๐ฃ๐ฎ๐ถ๐ป ๐ฃ๐ผ๐ถ๐ป๐๐. ๐ต ๐๐ถ๐ ๐ฒ๐. ๐ง๐ต๐ฒ ๐จ๐น๐๐ถ๐บ๐ฎ๐๐ฒ ๐๐ฒ๐ด๐ถ๐ป๐ป๐ฒ๐ฟ ๐๐ต๐ฒ๐ฎ๐๐๐ต๐ฒ๐ฒ๐ ๐ณ๐ผ๐ฟ ๐๐ ๐๐ด๐ฒ๐ป๐๐.
ใ๐ฃ๐ฎ๐ถ๐ป ๐ฌ: I Donโt Even Know What an AI Agent Is
โ I know LLMs, but โagentsโ still https://t.co/PedTlQ2udA
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How to Build Memory-Driven AI Agents with Short-Term, Long-Term, and Episodic Memory
In this tutorial, we build a memory-engineering layer for an AI agent that separates short-term working context from long-term vector memory and episodic traces. We implement semantic storage https://t.co/M1oxv4U1Ux
In this tutorial, we build a memory-engineering layer for an AI agent that separates short-term working context from long-term vector memory and episodic traces. We implement semantic storage https://t.co/M1oxv4U1Ux
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๐ง๐ต๐ถ๐ ๐ถ๐ ๐ต๐ฎ๐ป๐ฑ๐ ๐ฑ๐ผ๐๐ป ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐๐๐ฆ๐ง ๐จ๐๐ฒ ๐ฐ๐ฎ๐๐ฒ๐ ๐ผ๐ณ ๐๐ ๐๐ด๐ฒ๐ป๐๐. โฌ๏ธ
๐๐ฆ๐ต'๐ด ๐ฃ๐ณ๐ฆ๐ข๐ฌ ๐ช๐ต ๐ฅ๐ฐ๐ธ๐ฏ:
This AI Agents usecase saves millions of dollars and preventing fatal accidents on our highways.
During my PhD, I realized that hidden https://t.co/mCo0cwTB90
๐๐ฆ๐ต'๐ด ๐ฃ๐ณ๐ฆ๐ข๐ฌ ๐ช๐ต ๐ฅ๐ฐ๐ธ๐ฏ:
This AI Agents usecase saves millions of dollars and preventing fatal accidents on our highways.
During my PhD, I realized that hidden https://t.co/mCo0cwTB90
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12 AI Skills to Learn in 2026 and increase the changes to get new Job!! https://t.co/IhWH7rKDdm
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SQL Check Sheet to learn in 2026!!!
#sql #datascience #data https://t.co/gMlsgxOaFm
#sql #datascience #data https://t.co/gMlsgxOaFm
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"It's cheap and you should do it."
That's what ChromaDB's CTO said about fine-tuning embedding models.
He's right.
- 500 synthetic examples are often enough
- You can fine-tune locally on a MacBook
- Model deployment costs as low as 5โฌ/mo
- 10-30% recall gains are common https://t.co/66KvTkkGLG
That's what ChromaDB's CTO said about fine-tuning embedding models.
He's right.
- 500 synthetic examples are often enough
- You can fine-tune locally on a MacBook
- Model deployment costs as low as 5โฌ/mo
- 10-30% recall gains are common https://t.co/66KvTkkGLG
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Building Cybersecurity AI Agents sounds simple.
Then memory poisoning, prompt injection, and reasoning hijack hit hard.
I rebuilt the 3 agent implementations. here's how to survive each one โฌ๏ธ
I just finished reading a super recent 36-page research paper where They built 3 https://t.co/JUBHRsJeG3
Then memory poisoning, prompt injection, and reasoning hijack hit hard.
I rebuilt the 3 agent implementations. here's how to survive each one โฌ๏ธ
I just finished reading a super recent 36-page research paper where They built 3 https://t.co/JUBHRsJeG3
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I Handpicked 25 Real-World AI Agent Use Cases.
From 1000+ Papers these are Worth Building โฌ๏ธ
I did what any stubborn AI scientist would do:
๐ธReviewed 1000+ research papers
๐ธ Built a database of breakthroughs
๐ธ Filtered for execution, not speculation
๐ธ Curated 25 agent https://t.co/3Mm8CKLENV
From 1000+ Papers these are Worth Building โฌ๏ธ
I did what any stubborn AI scientist would do:
๐ธReviewed 1000+ research papers
๐ธ Built a database of breakthroughs
๐ธ Filtered for execution, not speculation
๐ธ Curated 25 agent https://t.co/3Mm8CKLENV
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What if AI actually reached the ๐ฝ๐ฎ๐๐ถ๐ฒ๐ป๐ ๐ฏ๐ฒ๐ฑ๐๐ถ๐ฑ๐ฒ?
Here is how to build a $๐ญ.๐ฑ๐ Medical AI Agent pipeline. โฌ๏ธ
Most medical AI dies in deployment.
Why?
+ Clinicians don't trust black-box AI.
+ Data scientists waste 80% of their time cleaning messy data.
While https://t.co/0trYUim4Ys
Here is how to build a $๐ญ.๐ฑ๐ Medical AI Agent pipeline. โฌ๏ธ
Most medical AI dies in deployment.
Why?
+ Clinicians don't trust black-box AI.
+ Data scientists waste 80% of their time cleaning messy data.
While https://t.co/0trYUim4Ys
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Looking for good resources to learn about @LangChain deep agents along with projects.
Need to build a custom deep agent with MCP and UCP integration.
Looking for something to get started with building and learning along the way.
Particularly not finding any resources on UCP
Need to build a custom deep agent with MCP and UCP integration.
Looking for something to get started with building and learning along the way.
Particularly not finding any resources on UCP
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You never truly understand the system until you draw the flow.
Debugging AI agents can get frustrating when they spiral into infinite loops.
I find it helpful to visualize the diagnosis as a decision tree.
We start with Detection (High tokens?), move to Classification (Is it a https://t.co/wkYO7h8ClJ
Debugging AI agents can get frustrating when they spiral into infinite loops.
I find it helpful to visualize the diagnosis as a decision tree.
We start with Detection (High tokens?), move to Classification (Is it a https://t.co/wkYO7h8ClJ
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๐ ๏ธ๐งญ How to Build AI Agents from Scratch โ Even If Youโve Never Done It Before.
๐ง๐ต๐ถ๐ ๐ถ๐ ๐ญ๐ฌ ๐ฆ๐๐ฒ๐ฝ ๐ฟ๐ผ๐ฎ๐ฑ๐บ๐ฎ๐ฝ ๐ณ๐ฟ๐ผ๐บ ๐ฝ๐ฟ๐ผ๐บ๐ฝ๐ ๐๐ผ ๐๐๐ฎ๐น๐๐ฎ๐๐ถ๐ผ๐ป.
ใ๐ฆ๐๐ฒ๐ฝ ๐ญ: Define the Agentโs Role and Goal
โธ What will your agent do?
โธ Who is it helping?
โธ What https://t.co/VOgMHWXznX
๐ง๐ต๐ถ๐ ๐ถ๐ ๐ญ๐ฌ ๐ฆ๐๐ฒ๐ฝ ๐ฟ๐ผ๐ฎ๐ฑ๐บ๐ฎ๐ฝ ๐ณ๐ฟ๐ผ๐บ ๐ฝ๐ฟ๐ผ๐บ๐ฝ๐ ๐๐ผ ๐๐๐ฎ๐น๐๐ฎ๐๐ถ๐ผ๐ป.
ใ๐ฆ๐๐ฒ๐ฝ ๐ญ: Define the Agentโs Role and Goal
โธ What will your agent do?
โธ Who is it helping?
โธ What https://t.co/VOgMHWXznX
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Google AI Releases Universal Commerce Protocol (UCP): An Open-Source Standard Designed to Power the Next Generation of Agentic Commerce
Google AI releases the Universal Commerce Protocol as an open standard that lets agents move from product search to secure checkout inside a https://t.co/41fIP6WpfU
Google AI releases the Universal Commerce Protocol as an open standard that lets agents move from product search to secure checkout inside a https://t.co/41fIP6WpfU
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How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents
AgeMem is a new agentic memory framework that integrates long term and short term memory management directly into an LLM agent policy through tool based actions. Instead of using external https://t.co/vYoxjvnyb2
AgeMem is a new agentic memory framework that integrates long term and short term memory management directly into an LLM agent policy through tool based actions. Instead of using external https://t.co/vYoxjvnyb2
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Andrew Ng's Agentic Blueprint has a "LEGO mindset".
๐ฐ๐ฌ Concrete Lessons on How to Build Agents That Work โฌ๏ธ
AGENTIC MINDSET
๐ญ. Stop debating โis it an agent?โ โ think degrees of autonomy.
๐ฎ. Low-autonomy flows are fine if they solve the problem.
๐ฏ. Autonomy = dial, not https://t.co/MkPwsWcQcr
๐ฐ๐ฌ Concrete Lessons on How to Build Agents That Work โฌ๏ธ
AGENTIC MINDSET
๐ญ. Stop debating โis it an agent?โ โ think degrees of autonomy.
๐ฎ. Low-autonomy flows are fine if they solve the problem.
๐ฏ. Autonomy = dial, not https://t.co/MkPwsWcQcr
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Gm guys!
MiniMask is finally here and honestly, this is a big deal for Minima
If youโve ever thought, โI love crypto, but why does everything have to feel so complicated?โ
This update is for you.
@Minima_Global just launched MiniMask Beta
You
๐ https://t.co/KlDuXy35qr
MiniMask is finally here and honestly, this is a big deal for Minima
If youโve ever thought, โI love crypto, but why does everything have to feel so complicated?โ
This update is for you.
@Minima_Global just launched MiniMask Beta
You
๐ https://t.co/KlDuXy35qr
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Meta and Harvard Researchers Introduce the Confucius Code Agent (CCA): A Software Engineering Agent that can Operate at Large-Scale Codebases
Confucius Code Agent from Meta and Harvard shows how much performance on real world software tasks comes from scaffolding rather than https://t.co/KUmR5VotHW
Confucius Code Agent from Meta and Harvard shows how much performance on real world software tasks comes from scaffolding rather than https://t.co/KUmR5VotHW
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VP & Chief AI Scientist | AI Agents Training | 100k+ Followers | 20+ Years in AI | Free AI Agents Training ๐ https://t.co/PTt2NLXDyZ
8.5K Followers
10 Contributions
๐ AI Dev News Platform (1 million+monthly traffic) | 100 k+ ML subreddit | Contact: Asif@marktechpost.com
10.2K Followers
4 Contributions
I create content that makes AI easy to understand. I share practical ideas for everyday creative work.
80 Followers
3 Contributions
Senior AI Engineer | Building NLP and IR systems | Talking about Software, AI, Self-improvement
184 Followers
1 Contributions
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Feb 10, 2026 21.9K +19
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Jan 28, 2026 21.6K โ
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