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docs: fix typos and awkward copy (#6115)

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* [bug:6109:README]: fix typos and awkward copy

* trigger ci

* rerun checks
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Trisha
2026-03-11 02:38:37 -04:00
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README.md
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@@ -111,7 +111,7 @@ This sets up:
- **LLM provider** - Interactive default model configuration
- All required Python dependencies with `uv`
- At last, it will initiate the open hive interface in your browser
- Finally, it will open the Hive interface in your browser
> **Tip:** To reopen the dashboard later, run `hive open` from the project directory.
@@ -125,18 +125,18 @@ Type the agent you want to build in the home input box
### Use Template Agents
Click "Try a sample agent" and check the templates. You can run a templates directly or choose to build your version on top of the existing template.
Click "Try a sample agent" and check the templates. You can run a template directly or choose to build your version on top of the existing template.
### Run Agents
Now you can run an agent by selectiing the agent (either an existing agent or example agent). You can click the Run button on the top left, or talk to the queen agent and it can run the agent for you.
Now you can run an agent by selecting the agent (either an existing agent or example agent). You can click the Run button on the top left, or talk to the queen agent and it can run the agent for you.
<img width="2500" height="1214" alt="Image" src="https://github.com/user-attachments/assets/71c38206-2ad5-49aa-bde8-6698d0bc55f5" />
## Features
- **Browser-Use** - Control the browser on your computer to achieve hard tasks
- **Parallel Execution** - Execute the generated graph in parallel. This way you can have multiple agent compelteing the jobs for you
- **Parallel Execution** - Execute the generated graph in parallel. This way you can have multiple agents completing the jobs for you
- **[Goal-Driven Generation](docs/key_concepts/goals_outcome.md)** - Define objectives in natural language; the coding agent generates the agent graph and connection code to achieve them
- **[Adaptiveness](docs/key_concepts/evolution.md)** - Framework captures failures, calibrates according to the objectives, and evolves the agent graph
- **[Dynamic Node Connections](docs/key_concepts/graph.md)** - No predefined edges; connection code is generated by any capable LLM based on your goals