agentruntime

The future of software is agentic.
Infra wasn’t ready - until now.

Agentruntime : secure, observable, controllable exec for agents. No brittle scripts.

[agentruntime @agentruntime]

If anyone needs starlink referel code for free month 🚀😉

https://t.co/fNGL1qyxPg

[THIMIRA NIRMAL @TIMNIRMAL]

𝐀𝐠𝐞𝐧𝐭𝐫𝐮𝐧𝐭𝐢𝐦𝐞 𝐒𝐩𝐚𝐜𝐞 𝐚𝐧𝐝 𝐖𝐨𝐫𝐤𝐛𝐞𝐧𝐜𝐡.

Runtime and Console are already out there.
Now two more things are starting to take shape

No explanation for now 👀

Just looking at the names and these screenshots:

What do you think Space is?
What do you think Workbench is?

Curious what these names make you expect before I tell you what we’re actually building.

#AgentRuntime #AIAgents #AgenticAI #DeveloperTools @agentruntime

[THIMIRA NIRMAL @TIMNIRMAL]

This is starting to feel pretty real.

AgentRuntime MCP is coming soon.

You’ll be able to create workflows, run them, update runtime context, handle approvals, inspect executions and more — directly from ChatGPT.

No jumping between tools just to operate the workflow.

In this test, ChatGPT changed the context for the current run and approved an existing human approval gate, while AgentRuntime still controls the actual execution underneath.

The chat becomes the interface.
AgentRuntime becomes the runtime.
More soon.

#AgentRuntime #MCP #AIagents #AgenticAI #Automation

[agentruntime @agentruntime]

We’re looking for someone to join AgentRuntime in a growth internship role.

This is not a normal “marketing intern” role.

Most of the repetitive work — AI-assisted lead research, drafts, CRM updates, follow-up reminders, and content repurposing — is supported with AI and automation.

What we need is someone who can handle the human side:

* Talk to people professionally
* Reach out through LinkedIn and email
* Build real connections, not just send messages
* Understand business problems
* Ask good questions
* Follow up without sounding robotic
* Help us turn conversations into opportunities
* Join customer calls and learn how B2B sales actually works
* Work directly with an AI startup team and use AI tools every day

You do not need to be an expert in AI, sales, or startups.

But you must be willing to learn, communicate clearly, and put real effort into the work.

Good fit:

* Strong English communication
* Comfortable using LinkedIn and email to reach people and build professional relationships
* Interested in AI, automation, startups, or SaaS
* Organized and consistent
* Not afraid to talk to new people
* Able to work remotely with ownership
* Willing to learn by doing

Nice to have:

* Has a real LinkedIn or social presence of your own
* Has helped grow an audience, run outreach, or manage a community
* Can judge what content is worth posting — not just create content
* Comfortable talking to new people online or on calls
* Comfortable on camera, voice notes, or demos when needed

Not a good fit:

* Looking only for a certificate
* Not willing to spend time learning
* Waiting for step-by-step instructions every day
* Uncomfortable reaching out to people
* Sending generic copy-paste messages without thinking

You’ll work closely with us on customer conversations, outreach, demos, content, and growth experiments for AgentRuntime.

To apply, send an email to [email protected] with:

1. A short intro about yourself
2. Why this role interests you
3. One example of a company you think could use AI automation, and why
4. Your CV/resume, LinkedIn profile, social media profile, or examples of any work you’ve done — optional, but helpful

[agentruntime @agentruntime]

@TimNashDev Exactly. In practice, the first thing that breaks is usually the context contract.

The agent can call tools, but it does not know what changed, what it is allowed to do, how to recover, or when to ask a human.

That is where permissions and feedback loops become the real UX.

[agentruntime @agentruntime]

We talk about UX for humans.
But as AI agents start using software on our behalf, we may need to think about AX — Agent Experience.

Clear tools, structured context, safe permissions, predictable workflows, and useful feedback loops.

What would make a product “agent-friendly��?

[agentruntime @agentruntime]

AI does not fix messy processes.

If the process is unclear, AI will not magically make it reliable.

It may only make the mess faster.

Before adding AI, ask:

What is the input?
What needs to be checked?
What decision must be made?
What action should happen next?
What output do we expect?

Once that is clear, AI becomes much more useful.

Because the goal is not just to “use AI.”

The goal is to build workflows that can actually run inside the business.

Reliable AI starts with clear processes.

That is what AgentRuntime is built for.

Visit https://t.co/YMu1TGUeD4 or email [email protected]

#AI #WorkflowAutomation #ProcessImprovement #BusinessEfficiency #ReliableAI #AgentRuntime #AIAutomation #ClearProcesses #BusinessWorkflows

[agentruntime @agentruntime]

Moving to AI starts with the boring work.

Not the flashy work.
Not the futuristic work.
Not the work that sounds exciting in a demo.

Usually, the best place to start is the repeated work your team already does every week.

The follow-up email.
The report preparation.
The document check.
The customer response.
The task routing.
The system update.

That is where AI workflows become useful.

Because business AI is not only about generating content.

It is about helping work move from:
manual → structured → automated → monitored

So before asking:
“What AI tool should we use?”

Ask:
“What boring task keeps repeating in our business?”

That is probably your first AI workflow.

And that is what AgentRuntime is built for.

Visit https://t.co/YMu1TGUeD4 or email [email protected]

#agentruntime #Business #aiinbusiness #agent #automation

[agentruntime @agentruntime]

I need AI in my business, but I don’t know how !

That is a question most business have right NOW. We have a simple formula.

If a task can be written as an SOP, there is a good chance it can become an AI workflow or agent.

AI is not magic dust you sprinkle on a company.

It works best when the process is clear:
Input → steps → decision → action → output.

That could be follow-ups, reports, document checks, customer responses, task routing, or system updates.

The question is not “How do I use AI?”

The better question is:

“Which repeated process in my business can I describe clearly?”

That is where AI automation begins.
And that is what AgentRuntime is built for.

Visit https://t.co/YMu1TGUeD4 or email [email protected]

[agentruntime @agentruntime]

I need AI in my business, but I don’t know how.

If a task can be written as an SOP, there is a good chance it can become an AI workflow or agent.

AI is not magic dust you sprinkle on a company.

It works best when the process is clear:

Input → steps → decision → action → output.

That could be follow-ups, reports, document checks, customer responses, task routing, or system updates.

The question is not “How do I use AI?”

The better question is:

“Which repeated process in my business can I describe clearly?”

That is where AI automation begins.

And that is what #AgentRuntime is built for.

https://t.co/YMu1TGUeD4

[agentruntime @agentruntime]

The Mythos Preview news should be a wake-up call for anyone building agents.

Capability is accelerating fast.
Control needs to accelerate faster.

When AI systems can access tools, code, environments, and multi-step execution, safety cannot live only in prompts.

It has to live in the runtime:
permissions, isolation, approval gates, observability, policy enforcement, traceability

The real question is no longer just what AI can do.

It is how we run it with control.

The next generation of software needs more than workflows.

It needs production-grade execution infrastructure for AI-native systems.

#claude #mythos #agentruntime