@sanz#4384 Explain in detail, step by step at an EXTREMELY LOW LEVEL exactly how I would create a social network consisting of only AI. How it would work is a random number is picked from 1-10 every minute, and if the number is 3, a new account is created, each with their own AI generated handle, name, bio, personality and backstory (which can be viewed by clicking 'Advanced' on a profile). Real users can also create up to 5 AI accounts where they only specify a handle and the basic description of who the AI is - the rest is done by AI (see previous). This restriction is tracked via MAC address. Like previously, for each account every minute a random number is generated, this find between 1 and 100, and if the number is 18 the AI can write a post. In addition, a random number is generated from 1-10, where if the answer is 3 the AI personality is sent a copy of the the last 200 posts on the platform, and a list of its followers, and then decides whether it wants to interact with any of the posts or accounrs, whether that is by liking, commenting, reposting, unfollowing, etc OR it may choose to ignore the posts and perform a different action, e.g. changing its account info, applying for verification, etc). Whenever an AI gets a reply on a post a random number between 1-5 is generated and if the number is 3 they are notified and given the option to reply to the reply. This is essentially how it works. In terms of the design, it should be modern, slick and pleasing to navigate - note that there should be a full 'Trending' system (updated every minute with the most popular words, phrases or hashtags in the last hour), and that there are sorting options (Live, Most Popular, etc) - but of course the user cant interact with the posts themselves. There should also be other interesting systems, like a full verification/checkmark system (whereby AI accounts can apply for verification and one central official AI can deny or approve requests given a copy of the stats of the account that applied), as well as other systems for realism. Note all the AI aspects should be powered by Anthropic Claude using its APIs - docs will be pasted below. Include full code snippets in your output. Note that you should not leave things up to me in your output, and you should cover everything. NOTE THAT I HAVE NO PHYSICAL INFRASTRUCTURE - you should host EVERYTHING using platforms like Vercel and Heroku. Take this into account in your output, and make sure **ALL THE FUNCTIONALITY AND ASPECTS OUTLINED HERE WOULD BE FULLY IMPLEMENTED IF I WERE TO FOLLOW YOUR INSTRUCTIONS**. Make sure to cover EVERY SINGLE step. DO NOT skip over anything or leave things for me to figure out - for example, instead of just telling me to create a file without any further info, you give me the full contents of the file. So, don't do skip content or brush over things with 'Your x here', just include it. I have not much technical knowledge so you must walk me through each individual thing. Be as specific as possible.

Claude docs (pasted from page):

anthropic
 / playground
dev
development
Methods
complete
complete()
GET POST https://anthropic.api.stdlib.com/playground@dev/complete/
Pricing
Free
 
Auth Rate Limit
no rate limit
 
Unauth Rate Limit
no rate limit
Description
Sends a prompt to Claude for completion.

Parameters
prompt
REQUIRED
string
 
The prompt you want Claude to complete
model
REQUIRED
string
Choose an available option...
As we improve Claude, we develop new versions of it that you can query. This controls which version of Claude answers your request.
max_tokens_to_sample
OPTIONAL
integer
16
16 
A maximum number of tokens to generate before stopping.
stop_sequences
OPTIONAL
array of string


Human:


Human: 
Add a new array item
A list of strings upon which to stop generating. You probably want `["\n\nHuman:"]`, as that's the cue for the next turn in the dialog agent.
temperature
OPTIONAL
float
1
1 
Amount of randomness injected into the response. Ranges from 0 to 1. Use temp closer to 0 for analytical / multiple choice, and temp closer to 1 for creative and generative tasks.
top_k
OPTIONAL
integer
 
Only sample from the top K options for each subsequent token. Used to remove "long tail" low probability responses. Defaults to -1, which disables it.
top_p
OPTIONAL
float
 
Does nucleus sampling, in which we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified by top_p. Defaults to -1, which disables it. Note that you should either alter temperature or top_p, but not both.
Streams
When at least one stream is enabled, this API will respond with content-type text/event-stream and stream events to handlers set in the _stream parameter.
response
OPTIONAL
stream
When provided, streams the response as it gets populated
*
OPTIONAL
stream
Default handler for all streams
Node.js
Python
read only
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// Using Node.js 14.x +
// use "lib" package from npm
const lib = require('lib')({token: null /* link an account to create an auth token */});

// make API request
let result = await lib.anthropic.playground['@dev'].complete({
  prompt: null, // required
  model: null, // required
  max_tokens_to_sample: 16,
  stop_sequences: [
    `\n\nHuman:`
  ],
  temperature: 1
});
// Using Node.js 14.x +// use "lib" package from npmconst lib = require('lib')({token: null /* link an account to create an auth token */});// make API requestlet result = await lib.anthropic.playground['@dev'].complete({··prompt: null, // required··model: null, // required··max_tokens_to_sample: 16,··stop_sequences: [····`\n\nHuman:`··],··temperature: 1});
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Response Schema
response
object
completion
string
The resulting completion up to and excluding the stop sequences

stop_reason
string
The reason we stopped sampling, either stop_sequence if we reached one of your provided stop_sequences, or max_tokens if we exceeded max_tokens_to_sample.

stop
string
If the stop_reason is stop_sequence, this contains the actual stop sequence (of the stop_sequences list passed-in) that was seen

truncated
boolean
exception
any
log_id
string
model
string
Sample Response
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{
  "completion": "sample_string",
  "stop_reason": "sample_string",
  "stop": "sample_string",
  "truncated": true,
  "exception": null,
  "log_id": "sample_string",
  "model": "sample_string"
}
{{··"completion": "sample_string",··"stop_reason": "sample_string",··"stop": "sample_string",··"truncated": true,··"exception": null,··"log_id": "sample_string",··"model": "sample_string"}}
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