open-source platform for creating, teaching, evaluating and deploying Al agents
Joined March 2026
- Tweets70
- Following1
- Followers6
- Likes161
orvel retweeted
Congrats to the OpenClaw community on OpenClaw Enterprise! 🦞
Organizations can use NVIDIA OpenShell as an open source option for governing agents with OpenClaw Enterprise. Glad to keep working with the community to make agents safer.
Today we’re announcing OpenClaw Enterprise
In collaboration with @RedHat , @nvidia and @OpenAI the OpenClaw Foundation is open sourcing a powerful enterprise control plane for persistent agents
OpenClaw Enterprise is built to run on your own infrastructure and will always be free for an organization to use
openclaw.ai/blog/openclaw-en…
orvel retweeted
what if teaching an AI felt more like teaching a person?
it gets something wrong.
you correct it.
it remembers.
you test it again.
it gets better.
that's the idea we're exploring with Orvel.
meet Orvel.
an open-source platform for creating, teaching, evaluating and deploying AI agents.
not just configuring an agent. actually teaching it.
we're building in public.
github.com/orvel-ai/orvel
what if teaching an AI felt more like teaching a person?
it gets something wrong.
you correct it.
it remembers.
you test it again.
it gets better.
that's the idea we're exploring with Orvel.
meet Orvel.
an open-source platform for creating, teaching, evaluating and deploying AI agents.
not just configuring an agent. actually teaching it.
we're building in public.
github.com/orvel-ai/orvel
orvel retweeted
Jev is really good at content filtering and asset selection.
DeepSeek + Higgsfield turn the selected assets into ad creatives.
orvel retweeted
Attention developers! You can now build your own Muse connectors.
Opening access for developers to build Muse connectors. You bring the API -- Muse brings the agent, the browser, and the context of what the person actually wants. People reach your service just by asking for it, and their agent takes it from there.
New connectors are live today. Come build with us. muse.ai/platform
orvel retweeted
It was great to be at Connected Stack last week with founders and builders working on what’s next in enterprise AI.
@jerryjliu0 joined the Founder Flash Talks to talk about a problem every enterprise agent eventually runs into: messy, complex documents that general-purpose models struggle to read.
Agents are the new knowledge workers, and we are building the document infrastructure for agents.
Thanks @trueventures and @GreylockVC for having us! 📸
orvel retweeted
Introducing the first in our Parsed by LlamaParse series. We're outlining the stakes of 'getting parsing wrong' in consequential documents.
We’re starting with the U.S. Energy Information Administration’s September 2026 Short-Term Energy Outlook, a dense government report covering energy supply, demand, prices, and forecasts.
Table 7a alone packs multiple years, quarters, row hierarchies, units, and footnotes into one electricity-industry table.
Take 1,186.
Parsed correctly, it means electricity sales to ultimate customers in Q3 2026, measured in billion kilowatthours.
Parsed incorrectly, it could be assigned to the wrong quarter, metric, or unit , which means the error can flow straight into a dashboard, forecast, alert, or AI application.
And the values aren’t the only thing that matters. Footnotes define the data too: “small-scale solar,” for example, refers to systems under one megawatt, not solar generation overall.
LlamaParse preserves the structure and context that make document data usable downstream: whether you’re populating a database, updating a dashboard, running forecasting workflows, or building an AI app over complex documents.
Source doc here: eia.gov/outlooks/steo/
orvel retweeted
🦙☀️ It’s a hot Llama summer, and it pays to be a PRO at document parsing. For a limited time, upgrade to the LlamaParse Pro plan and we'll triple your credits:
400K → 1.2M credits in your first month. That's $1,000 (~80k pages) of parsing, free.
No code, applied automatically. Upgrade today 👇️
llamaindex.ai/pricing
meet Orvel.
an open-source platform for creating, teaching, evaluating and deploying AI agents.
not just configuring an agent. actually teaching it.
we're building in public.
github.com/orvel-ai/orvel
orvel retweeted
Make your own film scene with Grok @imagine
Hollywood would spend 7 figures on this Odyssey scene.
@PJaccetturo and his studio made this pilot in 9 days, with 3,627 images, 3,043 videos, and generations costing $2,677.
Here’s their breakdown of how they did it 🧵
orvel retweeted
We're sharing our new framework for tracking, investigating, and disclosing instances of model misalignment at OpenAI.
The framework sets criteria and timelines for public disclosure, including when we haven’t yet fully explained or mitigated the behavior. More complex cases may require longer investigation or coordination with third parties.
We’ll prioritize examples that reveal new misalignment mechanisms, meaningful changes in known behavior, or findings that challenge assumptions about safety or mitigation.
Alongside the framework, we’re publishing six reports on instances of misaligned behavior we’ve observed during the training or evaluation of our models in the last six months.
This is a starting point. We’ll refine the process through experience and public feedback, and share more reports on an ongoing basis.
openai.com/index/model-misal…
orvel retweeted
Astra for Law pairs GPT-6 Astra with instructions for legal analysis and writing, settings for thorough work, and a new Legal Search Index.
The index searches U.S. case law, statutes, regulations, court rules, and administrative decisions across more than 230 million URLs—with sources added daily.
That helps lawyers move from the facts of a matter to relevant authorities and supporting passages they can examine themselves.
