Blum ✓

@Blum_OG · US, Florida · joined 27 Feb 2009

AI | Automation | Agents | Follow for practical LLM use

43 320Followers

2 616Following

35 752Posts total

37.7KViews on collected posts

Postingan terbaru

Blum ✓@Blum_OG12 Sep

Stop spending crazy amounts on tokens. Co-founders of Factory AI and LangChain explain why the best agent doesn't mean the most expensive agent. 20:59 - the case against a model-independent harness 44:20 - why memory might be AI's most overused word 55:35 - agent readiness, the

76:12

1.3K views · 11 likes · 0 reposts · 4 replies Open on X →

Blum ✓@Blum_OG12 Sep

Microsoft engineer: “the average spend on tokens goes down by almost 78%" she explained how to properly manage tokens and stop complaining about limits paid courses charge $700 for this info, but here it's free watch this 21-min video, and then read the article below to learn

21:09

1.4K views · 11 likes · 1 reposts · 3 replies Open on X →

Blum ✓@Blum_OG12 Sep

https://t.co/lpKut54G8N 6.8K views · 15 likes · 0 reposts · 8 replies Open on X →

Blum ✓@Blum_OG11 Sep

stop spending your evenings fixing the same mistakes your AI agent keeps making a LangChain engineer shows how to make AI check its own work before handing it back to you 08:06 - state, nodes, and edges 10:47 - checking documents and generated answers 11:48 - retrying code http

141:36

1.4K views · 17 likes · 0 reposts · 5 replies Open on X →

Blum ✓@Blum_OG10 Sep

stop paying for AI courses until you've watched this an Anthropic engineer shows how to make AI agents check and improve their own work in under 40 mins 13:28 - a basic agent that makes slides 19:15 - the prompt for grading slides 28:02 - a QA loop for slide generation 33:08 -

38:55

1.5K views · 14 likes · 1 reposts · 4 replies Open on X →

Blum ✓@Blum_OG16 Aug

https://t.co/4Y9iZ1kblj 7.2K views · 33 likes · 3 reposts · 13 replies Open on X →

Blum ✓@Blum_OG7 May

> downloaded Claude Code > thought it was just another AI chatbot > opened it up > found a chat bar > typed a prompt > nothing happened to my files > realized the difference > browser AI waits for you to bring your files > Claude Code goes into your folder > all 45 PDFs > all ht

183:53

18.1K views · 125 likes · 7 reposts · 15 replies Open on X →

Dibandingkan akun berukuran sama

6 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. jangkauan biasa untuk ukurannya, reaksi lebih lemah dari kebanyakan.

Median tayangan1 493akun ini1 061median untuk 10K–100K

Jangkauan, %3.45%akun ini3.72%median untuk 10K–100K

Interaksi, %1.14%akun ini1.65%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	1 493	1 061	1.41×
Jangkauan (tayangan ÷ pengikut)	3.45%	3.72%	0.93×
Tingkat interaksi	1.14%	1.65%	0.69×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

18.1K7 May

7.2K16 Aug

1.5K10 Sep

1.4K11 Sep

6.8K12 Sep

1.4K

1.3K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.81%7 May

0.68%16 Aug

1.23%10 Sep

1.53%11 Sep

0.34%12 Sep

1.11%

1.17%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.

What the audience does

Likes52.9%226 in total

Reposts2.8%12 in total

Replies12.2%52 in total

Bookmarks32.1%137 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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