Amira Zairi

AI Educator & Creator | Ambassador @Adobe | Partner with leading brands | 📧Collab → [email protected]

[Amira Zairi @azed_ai]

An EU server doesn't guarantee AI sovereignty.

A company can host its AI infrastructure in Europe while leaving critical decisions about access, encryption keys, and data handling in someone else's hands

TrueFoundry is challenging that assumption with the EMEA launch of its self-hostable TrueFoundry AI Gateway

[TrueFoundry @truefoundry]

TrueFoundry is expanding across EMEA, with London as our regional hub 🇬🇧🇪🇺

[Amira Zairi @azed_ai]

@nrqa__ Yes! Especially when a bug is hard to reproduce, being able to jump straight back to where it happened would save so much time

[Amira Zairi @azed_ai]

Debugging AI agents shouldn't mean starting from scratch every time.

Plurai just launched a simulation tool that lets developers replay an agent failure from the exact moment things went wrong, with the tools and data restored to their previous state.

No need to recreate the entire conversation. You can investigate the issue and test fixes directly inside Claude Code, Cursor, Codex, or Copilot.

Paid partnership with Plurai

[Ilan Kadar @ilan_kadar]

Big day for us at @pluraiAI ! Plurai Simulation is live and free for every AI engineer.

AI agents look great in demos. Until real users break them.

So we built a world where your agent can fail, learn, and get fixed before your users ever see it.

→ Digital twin: Your real agent, its tools, and environment recreated from your code

→ Simulated users & tasks: Realistic users, tasks, and workflows that push your agent into the edge cases that matter

→ Auto evals: Check what your agent actually did, not just what it said

→ Verified fixes: Every failure comes with the run that exposed it and a fix you can verify

→ Replays: Turn any production failure into a simulation and replay it against every new version of your agent

All inside the coding agent you already use: @claudeai code, @OpenAICodexCli , or @GitHubCopilot .

Start simulating for free: https://t.co/1PNPQdW29S

[Amira Zairi @azed_ai]

@codewithhajra Exactly! Knowing where your data is stored means little if you don't control who can access it

[Amira Zairi @azed_ai]

An EU server doesn't guarantee AI sovereignty.

A company can host its AI infrastructure in Europe while leaving critical decisions about access, encryption keys, and data handling in someone else's hands

TrueFoundry is challenging that assumption with the EMEA launch of its self-hostable TrueFoundry AI Gateway

[TrueFoundry @truefoundry]

TrueFoundry is expanding across EMEA, with London as our regional hub 🇬🇧🇪🇺

[Amira Zairi @azed_ai]

@jacewbuilds That's a really good question! Keeping everything else the same would make it much easier to see if the fix actually worked

[Amira Zairi @azed_ai]

@DanielLenton1 @letsunifyai Is anyone close to solving it?

[Amira Zairi @azed_ai]

@AlexWithAi_ That's such a useful feature, especially when you're trying to figure out why an agent failed

[Amira Zairi @azed_ai]

@aaliya_va Exactly! It makes testing fixes so much easier when you don't have to recreate the whole issue every time

[Amira Zairi @azed_ai]

@abxxai Yes! Being able to see exactly where things went wrong would make debugging so much easier

[Amira Zairi @azed_ai]

@iamfakhrealam Oh definitely! This could save them so much time and frustration

[Amira Zairi @azed_ai]

@Preda2005 Wow! so beautiful
I would def do it

[Amira Zairi @azed_ai]

@CodeByPoonam Having to explain the same project to an agent every single session gets old so fast

[Amira Zairi @azed_ai]

@DanielLenton1 @letsunifyai That's a good point! Remembering what happened and actually learning from it are two very different things

[Amira Zairi @azed_ai]

@eng_khairallah1 That cost difference is huge! Better memory without burning through tokens every time is something I'd actually use

[Amira Zairi @azed_ai]

@eng_khairallah1 @hedra_labs It's crazy how something as small as changing a gripper can throw everything off, getting that performance back without retraining is impressive

[Amira Zairi @azed_ai]

@eng_khairallah1 @inkbox_ai I like the idea of an agent that can pick up where it left off without having to set everything up again

[Amira Zairi @azed_ai]

@eng_khairallah1 The purple gradients are never going away haha, but I'm definitely saving these to try later

[Amira Zairi @azed_ai]

@eng_khairallah1 That's the kind of control I'd want before trusting an agent with my inbox too

[Amira Zairi @azed_ai]

@eng_khairallah1 At this point I have enough saved AI agent prompts to run an entire company, I just need to actually try them

[MO @MO_IAI]

What happens when you ask Seedream 5.5 for a full character sticker collection instead of just one image? The result is terrifyingly good. 👀

So, I created “LITTLE MOMENTS” a complete character sticker collection built around one original character, MILO.

What interests me most is the creative workflow.
Generating one great character is cool but being able to develop that character into a consistent collection, make revisions, and reuse the assets is where things get really interesting.

I'm testing character consistency, editing precision, and the overall quality of the final assets.
And the best part is that Seedream runs at just $0.02 per image.

Here's how I built the collection, the prompts I used, and what happened along the way.
Also Check other Styles

[Amira Zairi @azed_ai]

@PromptSin @dreamina_ai hope your day is going well my friend

[Amira Zairi @azed_ai]

@PromptSin Exactly! I hate when one small edit changes everything else in the image and I have to start all over again