@openservai
Being selected as the core AI agent technology for a multi-year Hitchhiker’s Guide to the Galaxy campaign is more than a partnership.
It’s a bridge between the world that imagined the future of technology and the companies actually building it.
The most valuable lessons in building rarely come from the success stories alone.
It's the failed experiments, unexpected challenges, and decisions made along the way that reveal what building really takes.
Looking forward to hearing this conversation.
The best conversations with AI founders happen off the record... what broke and what shipped anyway.
So I’ve started recording them: Build Break Ship puts them on the record.
Here’s a first look at my conversation with @marianebekker. Full episode drops Monday next week.
This is the bigger $SERV picture
Reasoning was only the first layer
Graph Sharding turns SERV into a full agentic execution platform built around reliability cost and auditability
SOC 2 underway
AWS Marketplace next
Over two years of R&D behind it
If enterprise agents become a major software category OpenServ is positioning itself right in the middle of it
Two years ago, one of our engineers got an agent to log into Gmail autonomously. We were jumping up and down with excitement. I still think about that sometimes.
Then you try to get it to do the same job tomorrow. And the day after that. Then you try to run it a thousand times and suddenly you care a lot about what happens on run 999, how you figure out what went wrong, and what the whole thing costs.
If you used the earlier version of the @openservai platform, the latest graphs in SERV will look familiar and share that same technology under the hood.
We opened up the Reasoning API in late September so any team could build with it, we're now we’re bringing reasoning and execution together in SERV.
Wild to go from celebrating a Gmail login to building what I believe will become the enterprise-standard operating system for AI agents.
Billions will SERV.
Building an AI product is one thing. Building the infrastructure that other AI products depend on is a different level
$SERV seems to be moving toward the latter
The goal isn't just better reasoning. It's giving AI agents the infrastructure to operate reliably in the real world
Everything we’ve shipped has been building toward one platform: SERV.
From our first agent SDK to Graph Sharding, each layer made the next one possible, with the orchestration technology from our earlier version multi-agent platform now running at the core of the SERV engine.
SERV Reasoning was the starting point, and the public API is open to every team and builder. With Graph Sharding and the next release, SERV grows beyond a reasoning layer into an agentic execution platform for enterprise AI.
Teams shipping serious agents can map AI workflows, inspect why every decision happens and control how each step runs, the capability regulated industries ask us about most.
With more than two years of R&D few teams can match, we’ve been solving what keeps AI agents stuck in low-impact environments: reliability, cost and auditability. The result is reasoning that outperforms frontier models at up to 90x lower cost, built for repeat, high-volume agent workloads.
With SOC 2 underway and AWS Marketplace as our first enterprise distribution channel, SERV is on the path to becoming the foundational infrastructure for enterprises running AI agents at scale.
The goal is to put SERV at the center of the agentic AI world and make SERV a household name.
Introducing ProofPilot AI-powered decision intelligence built with @openservai SERV Reasoning.
Live demo: https://t.co/CCrIUIgxx7
GitHub: https://t.co/XFbmoZsbne.
Building for the SERV Hackathon 02 Open Track.
We spend a lot of time discussing smarter AI.
Not enough time discussing who owns the machines that make that intelligence possible.
Decentralised compute could change that conversation entirely.
42🌌
Billions will $SERV
Tonight in Amsterdam, Tim @open_founder and Armağan @dashersw take the stage at the Internet Archive, home of the Wayback Machine, for Hitchhiker's Guide to Data Centres, kicking off a series of real-world events and experiences that bring the collaboration with The Hitchhiker's Guide to the Galaxy to life.
SERV is building infrastructure that aims to bring Hitchhikers, among many other partners, into the age of AI. The ambitions are far-reaching, and they'll unfold for audiences worldwide piece by piece, event by event.
Tonight the project comes out of stealth in Amsterdam and London at once.
Decentralised local LLMs vs traditional data centres. Compute the community owns. Who stores our knowledge? Who controls the machines? Who gets access?
42.
Autonomy without accountability is a problem waiting to happen.
As agents gain the ability to transact and make decisions, verification becomes just as important as intelligence.
This discussion is right on time.
Definitely tuning in
We’re entering a new paradigm where AI agents make decisions and take actions that demand reliable reasoning.
Tomorrow at 3 PM UTC @open_founder hosts @reppo and @GoKiteAI on Spaces to talk agentic payments, AI data markets, and verifiable agents.
Set your reminder below.
The real test for the agentic AI narrative is what builders can actually ship.
Ideas are everywhere. Useful products are harder to build.
Interested to see which experiments from the next two weeks turn into something bigger.
Billions will $SERV
SERV Hackathon 02 is live.
Build with SERV Reasoning + @dphnAI, @GoKiteAI, @reppo or bring your own idea to the Open Track.
Two weeks to cook across AI inference, agentic payments, AI data markets, and more.
Start here: https://t.co/jEWHzH2NfE
$SERV Hackathon 02 starts tomorrow.
A chance to explore the intersection of AI reasoning, agent infrastructure, and verifiable workflows.
Excited to see what builders create with SERV, @dphnAI, @GoKiteAI, and @reppo.
Time to build
SERV brings @dphnAI, @GoKiteAI, and @reppo into the lab.
Pair their AI infra with SERV Reasoning to get more from smaller models, cut costs, and make every agent decision auditable.
SERV Hackathon 02 kicks off Monday. Pre-register now: https://t.co/6zCWEXWQZt
As agent workflows scale, every unnecessary model call adds to the cost.
The ability to combine efficient reasoning infrastructure with auditable execution could make a real difference.
$SERV Hackathon 02 starts Monday. Builders, this one’s for you.
SERV brings @dphnAI, @GoKiteAI, and @reppo into the lab.
Pair their AI infra with SERV Reasoning to get more from smaller models, cut costs, and make every agent decision auditable.
SERV Hackathon 02 kicks off Monday. Pre-register now: https://t.co/6zCWEXWQZt
Building reliable AI agents requires more than good models. Developers need to see how workflows behave, identify drift, and understand the impact of every change.
That’s what makes Graph Sharding interesting, Better visibility means better control.
Billions will $SERV
The next major leap for SERV Reasoning is coming with SERV v3: Graph Sharding.
We’re preparing the next builder cohort to test it, building on feedback from the first beta users as we move toward a wider release.
In this walkthrough, our CTO @dashersw talks with builders and shows Graph Sharding in action, exploring how teams can inspect an agent workflow, spot drift, and see how a change at one step affects everything downstream.
That visibility gives developers more ways to understand, refine, and scale their AI workflows. Builder conversations and tests are helping us push Graph Sharding toward production, with more control over how complex workflows run.
We’re building SERV Reasoning for enterprise AI, the agentic economy, and the next wave of AI applications.
Apply to join the next beta builder cohort and help shape Graph Sharding: https://t.co/qlJUdS3A1A
For Al agents to move into more demanding workflows, developers need visibility into decisions and control over execution.
$SERV v3's approach to combining LLMs and deterministic code is worth exploring
SERV is building the command center for agent systems.
SERV v3 is now live for the first builder cohort.
Graph Sharding lets developers map AI workflows, inspect why decisions happen, and shape how each step runs: LLMs for open-ended tasks, deterministic code for bounded ones.
SERV is building the command center for agent systems.
Better reasoning
Lower costs
Verifiable agents.
$SERV alongside @dphnAI@GoKiteAI and @reppo gives builders an interesting stack to explore.
Signed up for the open track. Time to build something.
SERV Reasoning is the intelligence layer for the agentic economy.
Pair SERV with infra from @dphnAI@GoKiteAI@reppo to build agents that perform better, cost less, and are fully verifiable.
Pre-registration is open. Sign up now to get $5 in credits: https://t.co/6zCWEXWQZt
$SERV is moving beyond the idea stage.
Payments are live, enterprise distribution is progressing, and v3 is getting closer.
The next phase of AI infrastructure is about making agents more reliable, controllable, and affordable
The next stage of SERV Reasoning is coming together.
- SERV payments live
- Next hackathon brings more AI teams and builders
- Enterprise AI development and distribution moving forward with AWS Marketplace first
Graph Sharding will enable inspectable reasoning, greater control over AI agent workflows, and near-zero-cost decisions to the agentic economy.
v3 beta will open next week to a limited cohort of existing SERV builders: public launch is targeted for November.