Red Hat 

Tue, 05/05/2026 - 6:38pm
Post date: 05/05/2026 - 6:28pm

 

Wed, 04/29/2026 - 2:40pm
Post date: 04/28/2026 - 9:30pm

Connect the Smart Ingredients Project to Get Smart

Get Smart is a controlled decision layer that consumes structured ingredient data from the Smart Ingredients Project and produces deterministic, explainable outputs.

Tue, 04/28/2026 - 9:30pm
Post date: 04/28/2026 - 8:51pm

DEV then LIVE refresh completed

Date:
2026-05-06

Current verified facts

Recipes Backdrop is the source.
Views Data Export is the export mechanism.
Control Door is not part of the refresh process. It is only a viewer/client.

The original Views Data Export display was deleted during View cleanup.
Wed, 05/06/2026 - 11:50pm
Post date: 04/28/2026 - 1:33pm

You’ve built something sharper than a “prototype.” This is already a control philosophy wearing a hoodie.

Let’s anchor it cleanly in your world without inflating it into ceremony.


🏰 The Door (in your environment)

You don’t have “an API.”

You have a checkpoint.

Tue, 04/28/2026 - 1:33pm
Post date: 04/28/2026 - 12:24pm

🏰 The Model

“Nothing moves unless it passes through controlled gates—every step is verified.
We don’t waste intelligence where we already have enough, and when we need more, we call the right system for the job.”

Tue, 04/28/2026 - 5:23pm
Post date: 04/23/2026 - 10:38pm

dual-plane alignment

Let's step back and consider how this fits into the bigger picture. dual-plane alignment. Fancy term. I bet it just gets fancier. How many planes can we add? How is this technically coming together? What are the moving pieces?

Wed, 04/22/2026 - 10:39am
Post date: 04/22/2026 - 9:23am

 

Multi-step reasoning over events
The system does not react to just one prompt in isolation. It interprets a sequence of events, connects them, and works through intermediate steps before acting.
Example: “A file was uploaded, then scanned, then failed policy check, so quarantine it and notify ops.”

Mon, 04/20/2026 - 12:24pm
Post date: 04/18/2026 - 10:57am
TransferDepot Detection Roadmap (Recovered + Refined)

> - Extended the detector to parse structured events once, buffer them, and run the similarity search in
  detect_vector_outliers; renamed the analyzer and tightened the alert messaging so vector activity is explicit
  (src/detector.py:20,293-314,320-333,338-386).
Sat, 04/18/2026 - 10:57am
Post date: 04/11/2026 - 8:29pm

We’re circling a powerful idea here. Turn logs into something an AI can reason over, not just grep through. Vector embeddings are the hinge.

Every log line becomes a vector

Sat, 04/11/2026 - 8:28pm
Post date: 04/11/2026 - 1:18pm

Good catch. This is exactly the kind of boundary that breaks shiny ideas if we don’t design it deliberately.

Short answer:

❌ You do not need sh1re
❌ You do not need nginx reverse proxy
✅ You run the embedding model locally inside the air-gapped environment

Tue, 04/14/2026 - 8:54pm
Post date: 04/11/2026 - 1:31pm

Core definition (AI agent context)

A prompt is the structured input given to an AI system that defines what it should do, how it should behave, and what context it should use.

Think of it less like a question and more like a mission envelope.

Thu, 04/09/2026 - 8:53am
Post date: 04/09/2026 - 8:51am

Executive summary

Sat, 04/11/2026 - 1:30pm
Post date: 04/06/2026 - 11:36pm

The clean source is:

an array of current ingredient lines, with raw lines preserved separately

Recommended runtime shape

Sat, 03/28/2026 - 11:03am
Post date: 03/28/2026 - 11:01am

Scrum-master candy version

DONE

Thu, 04/09/2026 - 9:15pm
Post date: 03/28/2026 - 11:07am

The goal now is boring and good:

all callers read the contract, nobody reaches into internals

Yes — the contract is good. 


New input detected… parsing project spec 🧠

Fri, 03/27/2026 - 11:25pm
Post date: 03/27/2026 - 10:06pm

Background

Fri, 03/27/2026 - 9:42pm
Post date: 03/27/2026 - 9:31pm

SPEC-1-Nutrition-Intelligence-Runtime

Background

Sat, 03/28/2026 - 7:23pm
Post date: 03/27/2026 - 9:42pm

The immediate design goal is to preserve upstream ingredient lines exactly as provided so the system can safely layer parsing, rendering, and override logic on top later. The preferred validation target is the existing private recipe dataset rather than synthetic samples.

key rule 

Fri, 03/27/2026 - 9:12pm
Post date: 03/27/2026 - 3:39pm
The Flask recipe viewer reads recipes_normalized.jsonl, displays preserved ingredient lines
alongside a session-only editable override copy, and shows a plain-text preview plus a 
mailto: link for emailing the current edits. 

Original data remains untouched; overrides are stored only in the Flask session and are not yet persisted.

 

Fri, 03/27/2026 - 9:31pm
Post date: 03/26/2026 - 10:59pm

Core idea

Data-driven composition with conversational overrides means:

  • the recipe data is the baseline truth
  • the conversation can temporarily adjust, explore, or compare
  • the system keeps those two things separate

So:

Thu, 03/26/2026 - 10:21pm
Post date: 03/26/2026 - 2:57pm

SPEC-1-Recipe Ingredient Line Ingestion Fidelity

Fri, 03/27/2026 - 5:29pm
Post date: 03/26/2026 - 9:56am

Before we write a single line for the site, we design the voice system like we would an API. Clear rules, reusable, testable.


Phase 1: Voice System Design (No writing yet)

1. Core Voice Identity

We define the “speaker”:

AI Recipe Voice =

Thu, 03/26/2026 - 9:56am
Post date: 03/26/2026 - 8:43am

Once you've built an Agent using Agent Builder, you have to deploy it somewhere. That's where ChatKit comes in...

You can have it hosted, but at the very least you will need your own server to run authentication.

Wed, 03/25/2026 - 4:34pm
Post date: 03/25/2026 - 2:17pm

Wed, 03/25/2026 - 1:38pm
Post date: 03/25/2026 - 1:20pm
Thu, 03/26/2026 - 12:05am
Post date: 03/13/2026 - 12:15pm

# One Sentence Summary

The system combines **LLM reasoning, guardrails, tools, and a vector database** into a coordinated workflow managed by the **OpenAI Agents SDK Runner**.

🥐 Only ask questions about food

Wed, 03/25/2026 - 12:03pm
Post date: 03/12/2026 - 10:22pm
March 12, 2026 at 10:09 PM 
Thu, 04/09/2026 - 10:05am
Post date: 03/12/2026 - 9:12pm

You can find various examples of Chainlit apps here that leverage tools and services such as OpenAI, Anthropiс, LangChain, LlamaIndex, ChromaDB, Pinecone and more.

Wed, 03/25/2026 - 12:11pm
Post date: 03/12/2026 - 10:46am