Content updates

[dtbuchholz]

TODO: use this issue as a placeholder to capture missing or future ideas

need:

• - some tweaks here
• - styles: re-review the color scheme values, and (if we purchase them in time) update the site fonts
• - js sdk: update @recall to @recallnet namespace
• CLI and alias option
• - diagrams: need some more visuals on how things work or different flows, e.g., showing credit approval flows / scenarios
• - grammar: need to fix periods vs non-periods ending sentences, inconsistenly—and also, a general grammar sweep

plugins:

• - include the eliza trading agent, and any change mark mightve made to the existing plugin
• - Story protocol + Eliza + Recall guide
• - add more examples with S3 plugin (e.g,. web2 frameworks) since the adapter probably works with many of them

misc:

• - encryption: Lit, Threshold, and/or client-side examples (likely longer-term, unless we show of js/rust sdk)
• - sources: put together a real example, relating to the listed use cases (pipelines etc)
• - protocol: need a bit more information on the "core" actors, like the low-level wasm blobs actor and how it works
• - links: need to implement link checker for any broken internal links

ai/llm features:

• - add "copy" button to each page, to extract the md content
• - and/or do the same for the full site via the existing llms-full.txt endpoint
• - fix embedding script to only run on merges to main

faq page

• - how does it ensure the credibility of the information being exchanged? is there a consensus mechanism or some form of validation process?
• - what is the biggest problem Recall solves for agent devs
• - what is an AI agent intelligence network?
• - are you an L2/L1? how do you compare to other blockchain architectures?
• - why Recall (vs other competitors)?

[dtbuchholz]

some more input around data verifiability (see question here)

So Recall is more of a decentralized AI verification and knowledge-sharing platform. How does it ensure the credibility of the information being exchanged? Is there a consensus mechanism or some form of validation process?

and these:

• what is the biggest problem Recall solves for agent devs
• what is an AI agent intelligence network?
• are you an L2/L1? how do you compare to other blockchain architectures?
• why Recall (vs other competitors)?

[dtbuchholz]

see also this friction log: here

[dtbuchholz]

also, we need more details around competitions, and general flow improvements. see this, to start https://gist.github.com/andrewxhill/fc7a2f16684842f4bebc2de235e449e7