dan72ros

ideas, politics, religion and sometimes dark humor connected to life in Israel. Also, enjoys: steak, the beach

[𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰 @techwith_ram]

If you start learning LangChain by jumping straight into agents. That's usually where the confusion begins.

You see terms like chains, tools, messages, memory, structured outputs, and agent loops everywhere, but nobody explains how they connect together.

The truth is that LangChain becomes much easier when you learn it layer by layer.

A language model is just a function: text in, text out.

Messages give conversations context.

Tools let models interact with the real world.

Structured outputs turn messy text into reliable data.

Agents combine all of these pieces into a loop that can think, act, observe, and continue until a task is complete.

Once you understand that progression, the abstractions stop feeling overwhelming and start feeling obvious.

In this guide, I break down LangChain from the very first model call all the way to building a working agent, with practical examples and a mental model that actually sticks.

If you've ever felt lost while learning LangChain, this is the roadmap I wish I had when I started.

[Shweta singh @Tech_by_Shweta]

Most people think AI is about asking random questions.

But the people getting insane results from AI?
They follow systems.

This image explains the “20 Laws of Claude Prompts” — and honestly, these rules work for ChatGPT, Gemini, and every major AI tool.

The biggest mistake beginners make:
❌ Vague prompts
❌ No context
❌ No structure
❌ No clear outcome

And then they say:
“AI is overrated.”

No.

Your prompt decides the quality of the answer.

The best AI users don’t just type.
They think strategically.

They:
• Give context
• Define the format
• Set boundaries
• Ask for edge cases
• Refine responses
• Fact-check outputs
• Use AI like a system, not a toy

That’s the difference between average output and world-class output.

AI won’t replace humans.

But humans who know how to use AI effectively will outperform those who don’t.

Prompt engineering is becoming a real digital skill in 2026.

Save this.
Study it.
Use it.

Because better prompts create better thinking.
And better thinking creates better results. 🚀

Follow me @Tech_by_Shweta
For more

#AI #Claude #ChatGPT #ArtificialIntelligence #PromptEngineering #AITools #Productivity #Tech #FutureOfWork #Automation

[New York Basketball @NBA_NewYork]

City Hall announces another Knicks watch party capacity 5,000 at Bryant Park

Free, registration required

This is in addition to Wollman Rink and Brooklyn Bowl

[dan72ros @dan72ros]

@TheDunkCentral @awfulannouncing Uhhh he is NOT on the team. This is dumb

[Z-Dog @zdogmode]

Looking to #connect with builders on @X.

If you’re into:

• Building SaaS
• AI tools
• Vibe coding
• Building in public
• Figuring things out as you go

Drop a quick intro or tell us what you’re working on 👇

Always down to connect with builders!

[NBA Courtside @NBA__Courtside]

Michael Wilbon doesn’t see the Jalen Brunson and Kobe Bryant comparisons:

“Kobe had a ruthlessness that was shared with very few players in my observation. Bird, Jordan, Kobe. Idk if I put anyone else in that group. LeBron is a nicer guy than that. I don’t put LeBron in that group in terms of ruthlessness. I don’t put Jalen Brunson in it. Not yet”

[Bhanu singh yede @Bhanusinghyede]

🚀 𝟏𝟐𝟎 𝐌𝐢𝐧𝐝-𝐁𝐥𝐨𝐰𝐢𝐧𝐠 𝐀𝐈 𝐓𝐨𝐨𝐥𝐬 𝐘𝐨𝐮 𝐒𝐡𝐨𝐮𝐥𝐝 𝐊𝐧𝐨𝐰 𝐢𝐧 𝟐𝟎𝟐𝟔

Most people know 5–10 tools…
Top creators? They know the right 100+.

Here’s a curated list to upgrade your entire workflow 👇

𝟏. 𝐈𝐝𝐞𝐚𝐬
🔹YOU
🔹Claude
🔹ChatGPT
🔹Perplexity
🔹Bing Chat

𝟐. 𝐏𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧
🔹Prezi
🔹Pitch
🔹PopAi
🔹Slides AI
🔹Slidebean

𝟑. 𝐖𝐞𝐛𝐬𝐢𝐭𝐞
🔹Dora
🔹Wegic
🔹10Web
🔹Framer
🔹Durable

𝟒. 𝐖𝐫𝐢𝐭𝐢𝐧𝐠
🔹Rytr
🔹Jasper
🔹Copy AI
🔹Textblaze
🔹Writesonic

𝟓. 𝐀𝐈 𝐌𝐨𝐝𝐞𝐥𝐬
🔹RenderNet
🔹Glambase App
🔹Luma AI
🔹Sora (OpenAI)
🔹Leonardo AI

𝟔. 𝐌𝐞𝐞𝐭𝐢𝐧𝐠
🔹Tldv
🔹Krisp
🔹Otter
🔹Avoma
🔹Fireflies

𝟕. 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬
🔹Poe
🔹Claude
🔹Gemini
🔹ChatGPT
🔹HuggingChat

𝟖. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧
🔹ClickUp
🔹Drift
🔹Outreach
🔹Emplifi
🔹Phrasee

𝟗. 𝐔𝐈/𝐔𝐗
🔹Uizard
🔹Visily
🔹Khroma
🔹Galileo AI
🔹VisualEyes

𝟏𝟎. 𝐈𝐦𝐚𝐠𝐞
🔹Stylar
🔹Freepik
🔹Phygital+
🔹StockIMG
🔹Bing Create

𝟏𝟏. 𝐕𝐢𝐝𝐞𝐨
🔹Pictory
🔹HeyGen
🔹Nullface
🔹Decohere
🔹Synthesia

𝟏𝟐. 𝐃𝐞𝐬𝐢𝐠𝐧
🔹Looka
🔹Clipdrop
🔹Autodraw
🔹Vance AI
🔹Designs AI

𝟏𝟑. 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠
🔹AdCopy
🔹Predis AI
🔹Howler AI
🔹Bardeen AI
🔹AdCreative

𝟏𝟒. 𝐓𝐰𝐢𝐭𝐭𝐞𝐫
🔹Typefully
🔹Postwise
🔹Metricool
🔹Tribescaler
🔹TweetHunter

⚡ Save this. You’ll need it.

Because in 2026:
AI isn’t optional. It’s your unfair advantage.

Follow me & DM @Bhanusinghyede For more

[Zephyr @Zephyr_hg]

https://t.co/PxkhllkGbF

[XenAI @AlexRiad84837]

🚀 Most people treat like a README.

Big mistake.

A great gives your AI: • Clear project context • Coding standards • Workflows & commands • Team conventions •

Specific rules
The better the instructions, the better the output.

[Marcel Velica @MarcelVelica]

Most people use Claude like a chatbot.

Ask a question.
Get an answer.

Move on.

That's leaving a lot of value on the table.

The real power comes from using the right prompts.

These 15 prompts can help you:

✓ Make better decisions
✓ Analyze complex problems
✓ Learn new skills faster
✓ Create better content
✓ Research markets and customers
✓ Summarize information in seconds
✓ Plan strategies with more confidence

The quality of your output depends on the quality of your input.

Save this for later.

Which Claude prompt do you use the most?

🔁 Repost to help others
📌 Follow @MarcelVelica for more AI insights

[David Marco💡 @David_TornAI]

𝗟𝗟𝗠 𝘃𝘀 𝗔𝗴𝗲𝗻𝘁 𝘃𝘀 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝘃𝘀 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺

Most people treat these as the same thing.

They're not.

Understanding the difference can save you time, money, and countless debugging headaches.

Here's the simplest way to think about it:

𝗟𝗟𝗠 → 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲

A language model generates responses based on the context it receives.

✓ Single-step output
✓ No independent decision-making
✓ Limited to provided context
✓ Tool usage depends on external systems

Best for: • Writing • Summarization • Q&A • Brainstorming

Autonomy: ★☆☆☆☆

𝗔𝗴𝗲𝗻𝘁 → 𝗔𝗰𝘁

An agent doesn't just respond—it takes action.

✓ Goal-oriented ✓ Uses tools ✓ Plans next steps ✓ Can retry when things fail

Best for: • Research • Automation • Troubleshooting • Task completion

Autonomy: ★★★☆☆

𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 → 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗲

AI operates inside a structured process with predefined steps.

✓ Predictable flow ✓ Easier monitoring ✓ Optional human approvals ✓ Higher reliability

Best for: • Business operations • Document processing • Compliance workflows • Repetitive processes

Autonomy: ★★★★☆

𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺 → 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲

Multiple specialized agents work together toward a shared objective.

✓ Specialized expertise ✓ Parallel execution ✓ Coordinated decision-making ✓ Handles complex problems

Best for: • Large-scale projects • Enterprise automation • Complex research • Multi-stage workflows

Autonomy: ★★★★★

𝗧𝗵𝗲 𝟭-𝗟𝗶𝗻𝗲 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸

→ Need an answer? Use an LLM.

→ Need actions taken? Use an Agent.

→ Need consistency and control? Use an Agentic Workflow.

→ Need multiple specialists working together? Use a Multi-Agent System.

The biggest mistake isn't choosing a simple solution.

It's choosing a complex one when you don't need it.

Many teams build multi-agent architectures for problems a single prompt could solve.

More autonomy means more coordination, more latency, more cost, and more failure points.

The best AI architecture isn't the most advanced.

It's the one that's just advanced enough for the problem you're solving.

What's your definition of the line between a true Agent and an Agentic Workflow?

👇 Share your thoughts.

🔖 Save this for later. 🔁 Repost if you found it useful. ➕ Follow for more AI insights.

[George Conway ⚖️🇺🇸 @gtconway3d]

"I consider myself an originalist in the following sense: The original intent of Congress was not to have federal courts enjoining a criminal president. It was to have Congress impeach and remove that president. That's the originalism I'm standing for here—the originalism of Congress reasserting its power to act as a check on the president. That's the reason why they created an executive, is they thought that Congress would have the gumption and strength to exercise its power and duty to remove a criminal from office."

[Hridoy Rehman @hridoyreh]

📂 Marketing
┃
┣ 📂 Market Research
┃ ┣ 📂 Customer Research
┃ ┣ 📂 Competitor Analysis
┃ ┣ 📂 Audience Insights
┃ ┣ 📂 Surveys
┃ ┗ 📂 Trend Analysis
┃
┣ 📂 Branding
┃ ┣ 📂 Positioning
┃ ┣ 📂 Messaging
┃ ┣ 📂 Storytelling
┃ ┣ 📂 Visual Identity
┃ ┗ 📂 Brand Awareness
┃
┣ 📂 Content Marketing
┃ ┣ 📂 Blog Content
┃ ┣ 📂 Newsletters
┃ ┣ 📂 Case Studies
┃ ┣ 📂 Lead Magnets
┃ ┗ 📂 Content Distribution
┃
┣ 📂 SEO
┃ ┣ 📂 Keyword Research
┃ ┣ 📂 On-page SEO
┃ ┣ 📂 Technical SEO
┃ ┣ 📂 Link Building
┃ ┣ 📂 Content Optimization
┃ ┗ 📂 SEO Wins
┃
┣ 📂 Social Media Marketing
┃ ┣ 📂 X (Twitter)
┃ ┣ 📂 LinkedIn
┃ ┣ 📂 FB
┃ ┣ 📂 Insta
┃ ┣ 📂 TikTok
┃ ┗ 📂 Reddit
┃
┣ 📂 Email Marketing
┃ ┣ 📂 List Building
┃ ┣ 📂 Newsletters
┃ ┣ 📂 Automation
┃ ┣ 📂 Segmentation
┃ ┣ 📂 Deliverability
┃ ┗ 📂 Monetization
┃
┣ 📂 Video Marketing
┃ ┣ 📂 YouTube
┃ ┣ 📂 Shorts
┃ ┣ 📂 Reels
┃ ┣ 📂 Podcasts
┃ ┗ 📂 Live Streams
┃
┣ 📂 Paid Marketing
┃ ┣ 📂 Google Ads
┃ ┣ 📂 Meta Ads
┃ ┣ 📂 LinkedIn Ads
┃ ┣ 📂 TikTok Ads
┃ ┣ 📂 YouTube Ads
┃ ┗ 📂 Retargeting
┃
┣ 📂 Influencer Marketing
┃ ┣ 📂 Creator Outreach
┃ ┣ 📂 Sponsorships
┃ ┣ 📂 UGC
┃ ┣ 📂 Partnerships
┃ ┗ 📂 Brand Ambassadors
┃
┣ 📂 Community Marketing
┃ ┣ 📂 Reddit
┃ ┣ 📂 Discord
┃ ┣ 📂 Slack
┃ ┣ 📂 FB Groups
┃ ┗ 📂 Forums
┃
┣ 📂 Product Marketing
┃ ┣ 📂 Product Positioning
┃ ┣ 📂 Feature Launches
┃ ┣ 📂 GTM Strategy
┃ ┣ 📂 Customer Education
┃ ┗ 📂 Competitive Messaging
┃
┣ 📂 Growth Marketing
┃ ┣ 📂 Growth Hacking
┃ ┣ 📂 Referral Programs
┃ ┣ 📂 Viral Loops
┃ ┣ 📂 Product Led Growth
┃ ┗ 📂 Experimentation
┃
┣ 📂 Public Relations
┃ ┣ 📂 Press Releases
┃ ┣ 📂 Media Outreach
┃ ┣ 📂 Podcast Guests
┃ ┣ 📂 Thought Leadership
┃ ┗ 📂 Reputation Management
┃
┣ 📂 Affiliate Marketing
┃ ┣ 📂 Affiliate Programs
┃ ┣ 📂 Partner Recruitment
┃ ┣ 📂 Commission Structures
┃ ┣ 📂 Tracking
┃ ┗ 📂 Payouts
┃
┣ 📂 Analytics
┃ ┣ 📂 Attribution
┃ ┣ 📂 Funnel Analysis
┃ ┣ 📂 Cohort Analysis
┃ ┣ 📂 KPI Tracking
┃ ┗ 📂 Reporting
┃
┗ 📂 Revenue Optimization
┣ 📂 Upsells
┣ 📂 Cross Sells
┣ 📂 Pricing Strategy
┣ 📂 Subscription Growth
┗ 📂 LTV Maximization

[Chris Christie @GovChristie]

Trump's 0 for 4 on his midterm report card.

He promised to make the economy bigger and better, lower prices immediately, end the war in Ukraine in 24 hours, and stop endless wars. He's delivered on none of it.

[Amin @eCom_Amin]

i've been using Claude Opus 4.8 + Google Ads MCP to find the winning ad angles hiding inside our clients' accounts...

and results have been absolutely CRACKED

so i've decided to document the ENTIRE system...

covering the exact setup + the 6 prompts we run to surface the headlines and search intent already converting in your account, plus the competitor angles you've been ignoring, all of it invisible in the dashboard right now

here's what's included inside the guide:

> top performer hook extraction

(pulls headline-level RSA data and groups by angle. found a supplement client's symptom-led headlines converting 3.2x the product-claim ones (buried in RSAs, nobody saw them)

> search term intent gap

(finds the gap between what people search and what your ads say. an Australian health brand had "magnesium for leg cramps at night" hitting sleep ads. rewrote to match intent, CPA dropped 34%)

> competitor angle study

(reverse-engineers competitor ads through the transparency center. surfaced a "no bloating" angle 3 competitors had validated and the client ignored. became the top headline in the account in 2 weeks)

> landing page message match audit

(scores ad-to-page alignment and fixes quality score. a home goods client's "office chair for back pain" ads pointed at a generic page. built a dedicated page, quality score went 4 to 7, CPC dropped 28%)

> negative keyword intelligence sweep

(finds wasted spend and converting terms you're not bidding on. on a $94k/month brand, found $4.2k/month in waste plus 12 converting search terms missing from the keyword list. ROAS up 0.4x in one week)

> seasonal & trend angle detector

(looks forward instead of back. seasonal spikes, emerging demand, expansion regions, ranked by revenue impact)

all backed by everything i learned generating $13M+ in the past 6 months at my Google Ads agency

and for 24h, it can be ALL yours for free

like + comment "MCP" and i'll send it over

(must be following + RT for priority access)

[Shann³ @shannholmberg]

what is agent looping

for the last two years we prompted agents one task at a time. that is starting to change

instead of asking an agent to build the landing page and then driving every step yourself, you set up a loop that handles discovery, planning, the work, checking, and iterating until the goal is met

looping is a setup you build. almost any agent harness can run it, it just depends on how you wire it up

at its simplest, looping is one agent working on itself:

> researches
> drafts
> checks the draft against a goal
> fixes what is weak
> runs that cycle again until the work clears the requirements

you are not prompting each step anymore. the agent repeats the cycle for you

the bigger version is a fleet looping. you give an orchestrator agent a goal, it breaks the goal into pieces, hands each piece to a specialist agent, and those specialists hand smaller jobs to their own subagents

the whole tree keeps looping through discovery, planning, execution, and verification until the goal is met

one agent looping is like a person redoing their own draft. a fleet looping is a whole team running a project end-to-end

you create a goal, and the system runs the loop until it finishes within the reqs you set

open and closed looping:

OPEN LOOPING is exploratory. it still has conditions and a goal, but you give the agent or the fleet a wide space to move in. it can try different paths, discover things, build something you did not fully spec out

this is the exciting end, it is what Peter and others are doing, and tbh it is where I want to spend more time

the catch is cost, an open loop with real room to explore burns an insane amount of tokens. for the 90 percent of people without an unlimited budget it is not runnable yet, and pointed at projects with a loose standard it turns into a slop machine

CLOSED LOOPING is bounded. a human designs the end-to-end path first:

> clear goal
> defined steps
> an eval at each step
> a point where it stops or hands back to you (and feeds back performance data)

the agents still loop, but inside framework you built. it gets better every run because each pass feeds the next, and it runs on a normal budget because the path is tight.

for most marketing work, closed is the one that pays off today.

> the orchestrator owns the goal
> the specialists own the steps
> the subagents do the narrow work
> an eval gate make sure its not slop

[Yann @yanndine]

Claude is PERFECT for running a small business without a full team.

It's helped owners cut manual admin and run financial, sales, ops, and marketing tasks from one place. 382,000 downloads in a single day.

I've just broken the system down so you can do the same:

- Connect your business tools once - QuickBooks, Gmail, Stripe, HubSpot, Google Drive - and every skill that needs them can use them from that point forward
- The 5 skills to run in your first week: Business Pulse, Friday Brief, Invoice Chase, Close Month, and the Small Business Router that tells you which of the remaining 26 are most useful for your specific business type
- 31 skills across every function: financial ops, client work, team management, marketing, and weekly reporting — all pre-built, all running from a single slash command

Want me to send it over?

Like + comment "BUSINESS"

(must be following)

[Glenn Tunes @glenn_tunes]

WHAT THE FUCK HAPPENED TO AMERICA 🤷🤔

[dan72ros @dan72ros]

@TheDunkCentral @NBA__Courtside Uhh you went with him/supported him

[dan72ros @dan72ros]

@mjfree The people who can afford 13000 tickets will go. Probably most voted for him anyway, since he gave largest tax cuts to the wealthiest people