Armagan Amcalar

Founder @Coyotiv, CTO @openservai

Software architect, leader, lecturer, public speaker, mentor, entrepreneur, electronics engineer, guitarist, singer.

[Armagan Amcalar @dashersw]

It’s been 15 years since I last wrote an academic paper and I didn't expect the next to be this fundamental.

Today we published a research paper with @openservai that represents a major breakthrough in how we think about AI reasoning.

For years, we’ve been told that better AI reasoning means bigger models, longer chains of thought, and higher costs. We accepted that trade-off almost by default.

This work questions that assumption.

With BRAID's structured, bounded reasoning, we’re seeing up to 74× efficiency gains and ~30× better performance per dollar without losing accuracy.

[Armagan Amcalar @dashersw]

Another day, another build.

[OpenServ @openservai]

New feature: Prompt Guard

Every builder knows prompt injection is a big threat to production agents.

That's why we are introducing Prompt Guard, which solves the problem for every user by default.

• 3 layers of defense by default
• 256 attack vectors tested, zero leaks, zero false positives

The next era of AI infrastructure comes with security baked in as default. SERV is already shipping it.

[Armagan Amcalar @dashersw]

@zenfisherman0 @ptservlor @DJR2086 @openservai https://t.co/OCuNQlqBHF

[Armagan Amcalar @dashersw]

Yazılım öğrenmek kolay mı sandın? Sosyal medya yorumlarına cevap veriyorum | 29 Mayıs Cuma 22.00 https://t.co/ayxyuBq91R

[PT SERVlor @ptservlor]

What is Raison?

Well I’ll tell you.

Raison is another piece of the complete stack that @openservai is building to make #AiAgents actually scalable for enterprise large and small.

Raison is another cutting edge product that comes out of the genius combination of @dashersw unique mind and the $SERV team of cracked devs.

Raison is the manifestation of Armagans statement, “we are looking 10 years out” “we have many products in development”.

Raison is an example of earning trust with the Reasoning Framework then upselling the entire stack.

Raison is proof you are asleep and need to wake up to @openservai being a Trillion dollar monster larping at $50m.

[Armagan Amcalar @dashersw]

@mellicrypto @coyotiv @dashersw_TR Tesekkur ederim :)

[OpenServ @openservai]

You don't need a more expensive model. You need better reasoning.

Every frontier LLM got smarter with SERV:
- smaller ones match frontier performance
- frontier ones go past what they were built for

The question isn't which model to choose - it's what engine it runs on.

[Gizem Türker @gizemturkerdev]

None of this happens without our sponsors: @coyotiv , @fal , @xata , @EDBPostgres , Mobileitm .

A special note to @coyotiv and @dashersw you weren't just sponsors, you were part of building @divaconference with us. 💫 Thank you. 🎉

[Armagan Amcalar @dashersw]

SERV is now powering robots. That's it. That's the tweet.

[Roba Labs @Roba_Labs]

We’re excited to be integrating SERV Reasoning by @openservai to bring our no-code robotics solution to market, and had the pleasure of joining their closed beta.

Advanced robotics used to require a full team of specialists.

Now you can build real behavior in our no-code studio — this Unitree G1 hand grasp function was entirely written by the serv-standard model inside ROBA's no-code studio.

This is just a small glimpse of what can be done in our platform.

In our benchmarks across real builder tasks, SERV's models matched the quality bar we needed while cutting AI costs by over 80%.

SERV Reasoning will now be the default inference engine for the upcoming release of our ROBA no-code studio on June 1st.

[OpenServ @openservai]

Another production agent left Gemini for SERV.

SERV is inevitable.

[OpenServ @openservai]

Robotics is another industry running on SERV.

@Roba_Labs compared SERV to Claude across 40 tasks on a Unitree G1 Humanoid: file edits, sim-to-real workflows, robotics asset packaging.

"SERV matched Claude's output quality - and cut our AI costs by over 80%. That benchmark result changed our roadmap. serv-standard is now the default model in ROBA Studio."

- Farid Hossain, founder of Roba Labs

[Ibam @ibamaulanaX]

Huge appreciation to the @openservai team for their full support throughout the process.

After 4 years of working with AI models, I can honestly say SERV Reasoning is one of the best combinations of performance and cost efficiency I’ve used.

Better reasoning. Faster responses. Lower cost.
A significant step forward for XONA.

[fakeguru @iamfakeguru]

we're witnessing a clear trend: a multi-trillion dollar market running on infrastructure that's getting more expensive every cycle

just read Gartner's latest AI forecast:
- $2.59T market in 2026 (+47% YoY)
- $3.5T in 2027

while frontier model prices keep climbing:
GPT-5: $10/M -> GPT-5.4: $15/M -> GPT-5.5: $30/M

it's clear enterprise will be looking for cost-savings while adopting AI at large scale.

this puts ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 at the center of the AI agent economy - delivering up to 100x better performance-per-dollar in enterprise benchmarks, with no vendor lock-in.

with a single-line swap, you plug any frontier model into SERV Reasoning and the economics flip in your favour: agents become not just efficient, but also reliable and fully auditable.

it's why most enterprises in SERV Reasoning Private Beta are already moving over, once they try it

UAE gov is using SERV tech in production; Akretic (security layer for finance, healthcare, government, defense), treasury infra (BILLZ), agentic OS for the food industry (GastroSight), agent compliance layer (ThoughtProof) - AND MANY MORE - all switching their entire stacks

private beta already crossed 100K+ requests last week.
incredible foresight + PMF from @openservai

[Armagan Amcalar @dashersw]

I now have a pretty good evidence that gpt-image-2 is an HTML renderer. On the left: actual HTML implementation of a slide. On the right: gpt-image-2 output. It consistently nails it down every single time.

[Justine Moore @venturetwins]

Asking two agents in different harnesses to debug your code

(from andirockk on IG)

[Armagan Amcalar @dashersw]

@buddythedog2020 It’s an API like any other LLM. With one line of code, you start using SERV instead of OpenAI/Anthropic.

[Armagan Amcalar @dashersw]

SERV Reasoning is making every single frontier model better. That’s it. That’s the tweet.

[OpenServ @openservai]

Hot from the lab:

Google shipped Gemini 3.5 Flash a few hours ago. SERV engine instantly made it better.

Deeper cut: SERV + DeepSeek v4 Flash still beats Google at 1/30th the cost.

SERV makes general models production-ready for Fortune 500s, governments, and high-stakes ops.

[Diva: Dive into AI @divaconference]

Şu an Armağan Amcalar ile system prompt’ların executable logic’e dönüşümünü konuşuyoruz. 🧠
#diva #kadınyazılımcı #ai #yapayzeka @dashersw

[Armagan Amcalar @dashersw]

Diva: Dive into AI Conference is live today.

[Gülçin Yıldırım Jelínek 🪩 @apatheticmagpie]

Canlı yayın 🎦

@divaconference https://t.co/qtr5LQO8cl

[Jediwolf @Jediwolf]

What happens when you post a real Monet and say it’s AI? The coolest art social experiment I’ve seen in a while. Thank you @SHL0MS

[OpenServ @openservai]

https://t.co/DA3MDEK88I