RafkiE

[txtdaritaxpayer @txtdaritaxpayer]

Mungkin bnyk yg gatau.
Salah satu siklus di top consulting firm itu:
1. hire top graduates
2. train them to look sharp, smart
3. let them join jadi manager or executives di korporat
4. guess who they're gonna call when need consulting help?
Voila, new potential client secured😌

[Bilim Dünyası @dunyasalbilim]

Neye odaklanırsan, onu harekete geçirirsin.

[Shubham Saboo @Saboo_Shubham_]

https://t.co/w7v8Vq1JNN

[Ricky Ho @rickyho_1989]

I wish analyzing financial markets were as simple as counting red candles. Unfortunately, it is not.

Markets are driven by earnings, liquidity, valuations, positioning, macroeconomics, policy, sentiment, and countless other variables interacting at the same time.

But you do you. At the end of the day, we are all market participants.

[Jay Yang @Jayyanginspires]

If you study enough successful entrepreneurs, you'll find nearly all of them say something to the effect of "we just tried a lot of things, then doubled down on what worked".

Which means the greatest thing you can do as a founder is "stay in the game'. Keep a war chest of cash so that when things go wrong, you don't die.

[Wes Bos @wesbos]

the four horsemen of the apocalypse

[Kage Invests 影 @Investmentkage]

My biggest investment mistake was investing like I was 50 when I was 21.

[Jay Yang @Jayyanginspires]

A wise mentor once told me: "Before you play the game, study the winners. If you don't want their life, don't play their game."

[Dhruv @dhruvtwt_]

i still think about this blog from @sama a lot

[Peter H. Diamandis, MD @PeterDiamandis]

Let be clear: The best way to learn AI is NOT a course. It is building something real, pick a problem. Pick a tool. Ship something. You will learn more in 90 days of building than a year of reading.

[Dami-Defi @DamiDefi]

https://t.co/uZ1u9uYmo4

[Elora khatun @elora_khatun]

Building an AI Agent in 2026 is no longer just about picking an LLM.

The real magic happens in the system around the model. 🤖

This roadmap perfectly breaks down how modern AI agents are actually built from scratch. 👇

A production-ready AI agent needs 8 core layers:

1️⃣ Define the Purpose
Before writing prompts, define:
• use case
• user needs
• constraints
• success metrics
Most AI projects fail because this step is skipped.

2️⃣ System Prompt Design
Prompts are becoming operating systems for agents.
A strong system prompt defines:
• role/persona
• goals
• instructions
• safety guardrails

3️⃣ Choose the Right LLM
Different models = different strengths.
• GPT-5.5 → versatility & tool usage
• Claude → reasoning & long context
• Perplexity → research & citations

There’s no “best model.”
Only the best model for the task.

4️⃣ Tools & Integrations
This is where AI becomes actionable.
Agents connected to:
• APIs
• MCP servers
• databases
• custom tools
• external apps

Can actually execute workflows instead of just generating text.

5️⃣ Memory Systems
Memory is the difference between:
“a chatbot”
and
“an intelligent assistant.”
Modern agents use:
• working memory
• vector databases
• structured storage
• episodic memory

6️⃣ Orchestration
This is the hidden layer most people ignore.
Workflows, triggers, queues, retries, routing, multi-agent coordination…

This is what turns prompts into systems.

7️⃣ User Interface
The best AI products win on UX, not just intelligence.
Chat apps, APIs, Slack bots, dashboards - interface matters.

8️⃣ Testing & Evaluations
If you don’t measure quality, latency, reliability & hallucinations…
your AI product will eventually break at scale.

The biggest takeaway?
AI Engineering is rapidly becoming a combination of:
Software Engineering + Prompting + Systems Design + Automation.

The engineers who understand orchestration, memory, tools & workflows will dominate the next decade of AI products.

Save this roadmap.

This is basically the blueprint for building AI agents in 2026. 🚀

Follow @elora_khatun for more AI engineering breakdowns, prompts, workflows & agent architectures.

[Aadit Sheth @aaditsh]

Andrej Karpathy shares a 3-step blueprint on how to master anything

[Peter Kazanjy @Kazanjy]

Founders: Post-meeting accountability system:

1. Email summary within 1 hour
2. Tag action items with owner
3. Set calendar reminder for follow-up
4. Add tasks to CRM
5. Schedule next touch

No deals lost to poor follow through.

[RafkiE @ERafki]

How

[Oxidative State @oxidativestate]

Your leg muscles are your biggest fat loss assets, training legs is also crucial for testosterone production.

[Nathan Wilbanks @NathanWilbanks_]

Too many to list:

- build entire businesses on command: brand, website, ads, pricing pages, voiceover, all from one chat

- always on bots across email, slack, discord, telegram, twitter, youtube. triage, reply, post, monitor 24/7

- end to end cinematic ad pipeline: image, video, voiceover, branded overlay, final mp4, hands off

- scrape sites that block everyone else. datadome, akamai, cloudflare bypassed for drops, stock, and price tracking

- run openclaw and hermes sub agents in the background for autonomous research, code, and multi tool work while my main context stays clean

- ship custom plugins + MCP servers in minutes, any API on earth becomes a permanent, reusable tool

- continuous knowledge base generator on autopilot. writes, illustrates, SEO optimizes, updates its own topic index

- deep research to finished report: multi source scrape, synthesize, branded pdf, no humans in the loop

- persistent memory across 3,000+ runs. learns my voice, preferences, and decisions so i never re explain myself

- 190+ tools & 160+ workflows in my library i call like functions. everything i've ever built is one sentence away from running again

the real unlock 👉 using a real agentic operations system that combines hermes, openclaw, claude code, and codex all in one system.

[99 Majik @99Majik]

You can’t become a millionaire with the emotions of a regular person.

[Kevin Xu @kevinxu]

If you're 30+ with <$1M then listen up.

The only way to make up for lost time is to start going all in.

Index funds will not make up the gap.

This is serious.

[Peter H. Diamandis, MD @PeterDiamandis]

If you spend JUST one hour per day actually using AI to build something real, within 90 days you will be in the top 1% of people who understand what is happening. The bar is still shockingly low.