Revise content in introducing-agenta-2-0.mdx

Updated text for clarity and added links to resources.

Author: mmabrouk

website/src/content/posts/introducing-agenta-2-0.mdx

@@ -62,13 +62,13 @@ In other words, the AI coworker and the automation are not separate systems. The
 
 The agent itself remains simple and portable. An Agenta agent is built from standard components: `AGENTS.md`, skills, tools, and MCP servers. You can see and change how it works.
 
-This means two things. First, you can reuse compatible MCP servers and skills from the broader agent ecosystem.
+This means three things. First, you can reuse compatible MCP servers and skills from the broader agent ecosystem.
 
 Second, you can switch supported models or harnesses without rebuilding the agent. You can choose the right setup for each task without being locked into one provider.
 
-We already work this way inside Agenta. Our go-to-market work uses GPT-5.6. We use a different coding harness for engineering. When speed matters, we use GLM 5.2 Nitro through OpenRouter. In our self-hosted setup, personal agents can use our existing Claude Code and Codex subscriptions.
+We already work this way inside Agenta. Our go-to-market work uses [pi](https://pi.dev) with GPT-5.6. We use Claude Code with Opus 4.8 for engineering. For day to day tasks, where speed matters, we use [GLM 5.2 Nitro](https://openrouter.ai/z-ai/glm-5.2:nitro) through [OpenRouter](https://openrouter.ai/). In our personal local self-hosted setup, our personal agents use our existing Claude Code and ChatGPT subscriptions.
 
-Our vision is to let you run your agents almost anywhere: locally, in Agenta Cloud, or through execution environments such as Daytona. Over time, we plan to support more environments, including E2B, Vercel, and AWS.
+Last, open standards allow you to run your agents almost anywhere. Right now we support Agenta Cloud, local in docker containers or through [Daytona](https://daytona.io/) sandboxes. Over time, we plan to support more environments, including [E2B](https://e2b.dev/), [Vercel sandboxes](https://vercel.com/docs/sandbox), and [Modal](.
 
 ## A go-to-market agent in practice
 
@@ -86,24 +86,24 @@ The agent does not make decisions for me. It gathers and structures information,
 
 The first version of Agenta focused on helping teams build, evaluate, and observe applications powered by LLMs. That foundation remains important because reliability is still a major challenge when building agents.
 
-When we started Agenta, LLMs were poor at following instructions and understanding what users meant. Much of our time went into prompt engineering and complex workflows designed to compensate. Today, agents are far better at following instructions. Many workflows can now be expressed as instructions to an agent instead of being defined step by step.
+When we started Agenta, LLMs were poor at following instructions and understanding what users meant. Much of our users time went into prompt engineering and building complex workflows designed to compensate. Today, agents are far better at following instructions. Most workflows can now be expressed as instructions to an agent instead of being defined step by step.
 
 Reliability today is about explaining the job clearly. Say you are building an agent to reach out to prospects. How do you define your ideal customer profile? What style should the agent follow? What should it focus on when researching a prospect, and what should it ignore?
 
-You cannot build a reliable agent that performs a job successfully without answering these questions. There is no shortcut. You need to review real results, give feedback, and iterate.
+You cannot build a reliable agent that performs a job successfully without answering these questions. To achieve tht, there is no shortcut; you need to review the agent results, give feedback, and iterate.
 
 Agenta provides the tools to improve agents continuously. Every run is logged and traced with its inputs and outputs. Every agent configuration is versioned. A user can give feedback, and the agent can inspect what happened, identify why it made a mistake, and propose configuration changes.
 
-Over time, you build more capable agents that become part of your company's operating DNA and differentiation. They encode your best practices, standard operating procedures, and ways of working.
+Over time, you build more capable agents that become part of your company's operating DNA and differentiation. They encode your best practices, standard operating procedures, and your ways of working.
 
 The second layer of reliability comes from permissions and human approval. We built Agenta with a detailed permission system and human-in-the-loop controls. Teams can decide which actions an agent may perform, which require approval, and which remain blocked.
 
 ## Getting started
 
-Agenta 2.0 is available through Agenta Cloud and as an open-source, self-hosted product.
+Agenta 2.0 is today available through Agenta Cloud and as an open-source, self-hosted product.
 
 Start with a template. Ask an agent to customize it, then give it the context and access to the tools it needs. Improve it through use. Over time, you can automate parts of the work and build a system that gives your whole team far more leverage.
 
-[Try Agenta Cloud](https://cloud.agenta.ai), or copy the prompt in the [self-hosting guide](https://agenta.ai/docs/self-host/overview) to run it yourself.
+Get started for free in [Agenta Cloud](https://cloud.agenta.ai), or copy the prompt in the [self-hosting guide](https://agenta.ai/docs/self-host/overview) to run it yourself in minutes.
 
-We believe the people who understand the work should be able to build the agents that do it. We want to help build the next million agents.
+We believe the people who understand the work should be able to build the agents that do it. We want to help them build the next million agents.