Late Lunch Update: Evolving Our AI’s Three‑Brain Architecture
Sometimes the best ideas emerge when you step away from the keyboard for a moment. After a quiet afternoon of reflection, we’re excited to share the next milestone in our AI’s evolution: it now thinks with three specialized “brains,” each tuned to a different type of knowledge.
Reminder Logic Refined
Our reminder feature has lived outside the core memory pipeline as a standalone subprocess—like a diligent secretary taking notes in a separate notebook. Over the past week, we’ve:
Streamlined decision paths, making reminders more reliable and predictable.
Isolated failure modes, so a hiccup in scheduling won’t pollute long‑term memory.
Next step: Once we’re confident it never drops the ball, we’ll fold reminders into the main memory chain—giving the AI the ability to “remember” upcoming events alongside everything else it knows.
Conversational Brain
This is the AI’s general‑chat cortex. It tracks everyday conversations, maintains context across back‑and‑forths, and recalls past discussions to keep the dialogue flowing naturally. Whether you’re brainstorming project ideas or unwinding with small talk, this brain is wired to sustain the human side of the interaction.
Code Brain
Designed from the ground up for programming dialogue, the Code Brain:
Reconstructs full functions or class definitions from fragmented discussions.
Chunks large codebases into manageable snippets for targeted analysis.
Keeps its own logical index, ensuring code queries don’t overwhelm general conversation memory.
When you ask, “What do you think about your kruel.ai code?”, the AI now merges insights from both its conversational and code memories—bridging design rationale and implementation details for a richer response.
Document Brain
Our third memory module specializes in arbitrary documents you upload—manuals, reports, PDFs, you name it. It:
Chunks and embeds document passages for efficient retrieval.
Validates relevance with a lightweight model check, so only the most pertinent excerpts are surfaced.
Stores metadata like file names, chunk numbers, and timestamps to keep everything organized.
Think of it as the AI’s personal library assistant—ready to pull the right excerpt in seconds whenever you reference an uploaded document.
Why Three Brains?
By dividing memory into three dedicated systems, we avoid the “one‑size‑fits‑none” trap and ensure each domain gets the attention it deserves. When your query spans multiple areas—say, “Can you update the firmware sequence in the M2000 manual and show me the corresponding code snippet?”—the AI:
Pulls the relevant manual steps from the Document Brain.
Retrieves code examples from the Code Brain.
Weaves in high‑level commentary from the Conversational Brain.
The result: seamless, context‑rich answers that feel as if you’re talking to a human expert with perfect recall.
What’s Next
Memory consolidation: refining how these brains share context without stepping on each other’s toes.
Deeper integration: migrating reminders and other subprocesses into the core chain for a unified experience.
Continuous feedback: your real‑world questions will guide further tuning of each “brain.”
That’s today’s update. Thanks for following our journey toward an AI that truly “knows”—in conversation, in code, and in every document you share. Stay tuned for more!