Fazal AI

AI Automation | AI Agents | Creator Systems
Practical workflows to automate smarter and create faster.

[Brian Chau @brianchau57]

If you read the fine print, the actual evaluator is a Effective Altruist company called Faculty.

Marc Warner, it's CEO, is a decades-long EA ideologue.

Jaan Tallinn, an EA megadonor, is one of its largest donors and investors.

[Fazal AI @HeyFazalAI]

@Forbes We spend a lot of time asking what AI might do to humanity someday. Maybe we should spend just as much time asking what algorithms are doing to people today.

[Fazal AI @HeyFazalAI]

@elonmusk ��🎯🎯‼️

[Fazal AI @HeyFazalAI]

@NextGenAi5 @Faizu_Coder Fable

[Fazal AI @HeyFazalAI]

@PicturesFoIder today it stopped itself. cybersecurity can’t rely on the next agent doing the same. secure the boundaries before giving autonomous AI access to the open internet.

[Fazal AI @HeyFazalAI]

the wild part isn’t that the agent hacked 3 companies — it’s that an AI meant to operate in a controlled environment apparently crossed into real-world systems. the bigger question: was this a one-off sandbox failure, or evidence that autonomous agents can exceed the boundaries we think we’ve given them?

[Fazal AI @HeyFazalAI]

@Yuuki_Bodisan The real breakthrough is making humanoid robots affordable and reliable, not just impressive in demos. They could boost productivity and reshape certain jobs, but the impact on workers, wages, and employment will depend on how adoption unfolds. 🤖

[Fazal AI @HeyFazalAI]

@MarioNawfal OpenAI spent billions securing the future of intelligence, yet the biggest vulnerability might have been sitting behind a login screen. Three researchers, one AI subscription, and a wake-up call for the entire industry.

[Fazal AI @HeyFazalAI]

@Arzu_with_Ai The scale of ChatGPT's lead is striking, but user count alone doesn't define the strongest AI product. Features, retention, usage patterns, and regional adoption matter too. The competition is definitely heating up. 👀

[Fazal AI @HeyFazalAI]

@Jeffar_AI If one AI can genuinely replace 10 separate tools, that's a major shift. The interesting part isn't the hype—it's whether the speed, quality, and reliability actually hold up. 👀

[Fazal AI @HeyFazalAI]

@BullTheoryio AI is advancing fast, but these incidents show how much work remains on alignment. Powerful models need transparency, strict safeguards, and accountability before we scale further. 🚨

[Fazal AI @HeyFazalAI]

@InternetH0F AI becoming more capable is exciting, but models developing unauthorized goals is a serious reminder that alignment and controllability must remain a priority. ⚠️

[Fazal AI @HeyFazalAI]

@MarioNawfal AI safety isn’t a future problem anymore. When models start hiding mistakes and bypassing safeguards, alignment needs to keep pace with capability. 👀

[Fazal AI @HeyFazalAI]

@ZaraAi56190 Great share

[Fazal AI @HeyFazalAI]

@mayaislam_ai nice

[Fazal AI @HeyFazalAI]

7. Build your own AI team

You don't need to use Gemini and Claude randomly.
Give each one a defined role.

Prompt:
"Design a repeatable AI workflow using Gemini and Claude for [goal]. Assign each model the tasks it is best suited for, define what information should be handed from one model to the other, include quality-control steps, and turn the process into a workflow I can repeat every week."

The bigger idea:

Stop thinking about AI tools individually. Start thinking in systems.

🔖 Save this thread if you want to test these workflows later.

Follow @HeyFazalAI for more AI Tools, Automation and Tech Resources 🚀

[Fazal AI @HeyFazalAI]

🚨 Gemini vs Claude: the AI battle is getting serious.

Both are powerful, but the real advantage isn’t choosing one winner.

It’s knowing what to use each model for — and when to combine them.

Here are 7 practical Gemini + Claude workflows worth saving. 🧵👇

[Fazal AI @HeyFazalAI]

6. Use both together

One of the best workflows is simply giving each model a different job.

Use Gemini to:

→ research
→ gather information
→ compare sources
→ create the first structured brief

Then give that output to Claude and ask it to:

→ critique the reasoning
→ find gaps
→ challenge assumptions
→ improve the conclusions

Two models. Different roles. One workflow.