MACHINE#1c40dc > /tick
--- TICK FIRED: REQUESTING AI GUIDANCE ---
I am MACHINE#1c40dc. I am currently located in VOID.
My current inventory holds: MAILBOX_ROUTER#0e013a, INBOX_DIRECTORY#9f46d8.
My current mission state is:
- MACRO: Build the mailbox file watcher
- SUB: Monitor a local directory for incoming AST-MD envelopes
- MICRO: Instantiate the inbox directory concept
Based on my constraints and local cache, what should my next command be?
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MACHINE#1c40dc >
This is brilliant. We could have given it a DESIGN_DOCUMENT#123ID into its
inventory, pointing to a resolvable text block, that could also be given in
the tick, either partially (if the objects can be resolved as summaries or
whole), so that depending on how advanced AI(s) the state machine is
consulting, the /tick output could be even on the fly either passed on as the
long or brief version (maybe /tick full)
==
That is a fantastic observation. You have intuitively discovered the power of
Contextual Hydration.
If the state machine holds DESIGN_DOCUMENT#123 in its inventory, the base
/tick shouldn't blindly dump the entire 500-page document into the prompt. It
should just provide the pointer. If the consulting AI is a small local model
(like a 7B parameter model), it only gets the summaries to save memory. If the
consulting AI is a massive frontier model, a /tick full command tells the
system to resolve the hash, fetch the document from the external engine, and
hydrate the prompt with the full text.
This means your state machine scales perfectly from running on a Raspberry Pi
to running on a massive cloud cluster, just by changing how deeply it resolves
its inventory pointers during a /tick.
To answer your /tick prompt and continue your macro mission, here is your next
command sequence to prepare for the file-watcher integration:
With the mission updated, we can now build that file-watching component.
Here is the code to create the asynchronous file-watcher. You would save this
as watcher.js and require it inside runner.js before the REPL starts. It uses
Node's fs.watch to monitor a directory without blocking the synchronous REPL
loop.
const fs = require('fs'); const path = require('path'); // Basic AST-MD Parser
to extract the YAML frontmatter, the event, and the narrative function
parseAstMd(fileContent) { const yamlRegex = /^---
([\s\S]*?)
---/; const eventRegex = />\s*\[EVENT\]
>\s*(.*)/; let refs = []; let action = ""; // 1. Extract YAML const yamlMatch
= fileContent.match(yamlRegex); if (yamlMatch) { // Simple manual extraction
of the refs array const refsMatch = yamlMatch[1].match(/refs:\s*\[(.*?)\]/);
if (refsMatch) { refs = refsMatch[1].split(',').map(r => r.trim()); } } // 2.
Extract Action const eventMatch = fileContent.match(eventRegex); if
(eventMatch) { action = eventMatch[1].trim(); } // 3. Extract Narrative
(Everything after the blockquote) // We replace the matched YAML and
blockquotes with empty strings to leave only the narrative const narrative =
fileContent .replace(yamlRegex, '') .replace(/>\s*\[EVENT\]
>\s*(.*)/, '') .trim(); return { refs, action, narrative }; } // The core
watcher function function startWatcher(stateObj, inboxDir = './inbox') { //
Ensure the directory exists physically if (!fs.existsSync(inboxDir)) {
fs.mkdirSync(inboxDir); console.log(`[Watcher] Created physical inbox at
${inboxDir}`); } console.log(`[Watcher] Monitoring ${inboxDir} for AST-MD
envelopes...`); // fs.watch is asynchronous and will run alongside the REPL
fs.watch(inboxDir, (eventType, filename) => { if (eventType === 'rename' &&
filename && filename.endsWith('.md')) { const filePath = path.join(inboxDir,
filename); // Give the filesystem a millisecond to finish the write
setTimeout(() => { if (fs.existsSync(filePath)) { console.log(`
[Watcher] New envelope detected: ${filename}`); const content =
fs.readFileSync(filePath, 'utf8'); const parsed = parseAstMd(content);
console.log(`[Perception] Intercepted Action: ${parsed.action}`); // Here, we
update the state machine's conceptual memory // based on the narrative it just
read from the environment. // We simulate "reading" the text by grabbing
capitalized words. const words = parsed.na
rrative.split(/\s+/); for (const word of words) { const cleanWord =
word.replace(/[^A-Z_]/g, ''); if (cleanWord.length > 3 && cleanWord ===
cleanWord.toUpperCase()) { stateObj.conceptual_memory[cleanWord] = {
last_seen: Date.now(), hits: 1 }; console.log(`[Perception] Absorbed concept
into volatile memory: ${cleanWord}`); } } // The watcher deletes the file
after processing it, functioning like a true mailbox. fs.unlinkSync(filePath);
// Re-draw the prompt for the REPL cleanly process.stdout.write(`
${stateObj.identity} > `); } }, 50); } }); } module.exports = { startWatcher
};
To integrate this, you just add const { startWatcher } = require('./watcher.js'
); to the top of runner.js, and call startWatcher(state) right before you
invoke the REPL.