feat: minor web copy changes

pull/721/head
Travis Fischer 2025-07-03 07:38:52 -05:00
rodzic 1812754d46
commit a9809bcbe1
3 zmienionych plików z 15 dodań i 19 usunięć

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@ -17,28 +17,25 @@ export default function AboutPage() {
<Markdown>
<h2>Setting the stage</h2>
<p>Building reliable agents is hard.</p>
<p>But building them without the right tools is even harder.</p>
<p>
It's 2025. LLMs are still scaling. AI agents are just starting to
take off. MCP is exploding. The singularity looms. Shoggoth looks
back on us from the near future and gives a sly smile that doesn't
quite reach His inhuman eyes.
MCP is really promising, but it's still early and the ecosystem's a
bit of a mess.
</p>
<p>
In this increasingly AI-native world, what's the best way for
"normal" software engineers like us to stay relevant and provide
value for both our families as well as our future AI edgelords?
Add to that the fact that most MCPs are just thin wrappers around
REST APIs which works, but is far from ideal in terms of context
efficiency and instruction following.
</p>
<p>
Well, I don't know about you, but contributing to foundation models,
AI alignment, and AGI research all seem incredibly sexy but are also
a lil outside my areas of expertise.
</p>
<p>
That's why Agentic is focused solely on building value at the LLM
tool calling layer. MCPs are a great example here.
The best LLM tools require a fundamentally different UX than REST
The best agents require their tools to be optimized for LLM usage
with a fundamentally different UX than REST APIs.
</p>
<p>
@ -48,7 +45,7 @@ export default function AboutPage() {
<span className='font-semibold'>
providing access to high quality tools that are specifically
designed and optimized for agents will become increasingly
important over time
important
</span>
.
</p>

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@ -59,8 +59,7 @@ export async function ExampleUsageSection() {
<span className='font-semibold'>MCP servers</span> as well as simple{' '}
<span className='font-semibold'>HTTP APIs</span>. MCP is important for
interop and future-proofing, whereas simple HTTP POST requests make
tool use easy to debug and simplifies integration with existing LLM
tool calling.
tool use easy to debug and simplifies usage with LLM tool calling.
</p>
</div>
</section>

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@ -66,7 +66,7 @@ const mcpGatewayFeatures: FeatureData[] = [
<span className='font-semibold'>MCP servers</span> as well as simple{' '}
<span className='font-semibold'>HTTP APIs</span>. MCP is important for
interop and future-proofing, whereas simple HTTP POST requests make
tools easy to debug and simplifies integrating with LLM SDKs.
tools easy to debug and simplifies usage with LLM tool calling.
</>
),
icon: CheckCheckIcon,