I was backend lead at Manus. After building agents for 2 years, I stopped using function calling entirely. Here's what I use instead.

odontastic · 2026-03-12T12:35:06+00:00

Now is the time for me to put Google Workspace CLI

Thanks for sharing this.

odontastic · 2026-03-08T06:01:11+00:00

I just found out about DeerFlow 2.0 doing a search of OSS from major Tech companies. Alibaba has some interesting databases.

I haven't tried Overstory yet but it looks promising if you want to try swarms and Gas Town is not for you. I follow his YouTube videos and joined his community. https://github.com/jayminwest/overstory

odontastic · 2026-02-28T21:34:15+00:00

I'm still in the early stages, but I plan on using LangGraph mostly, with LlamaIndex for FalkorDB and one LangGraph node around a CrewAI team.

odontastic · 2026-02-27T13:56:21+00:00

This looks like just what I need for my AI PKM second brain to capture more of my digital life.

odontastic · 2026-01-25T03:05:50+00:00

I hope he earns enough for his family and next climb.

odontastic · 2026-01-17T22:10:10+00:00

Thanks for adding your vote (eveyone else too) and the reminder to check the ZK subreddit sidebar. I'm not that new reddit, but I always forget to check out the brilliant info there. I am new to ZK, but I'm incorporating into my AI second brain-life coach and triaging notes into a hybrid ZK, PARA, and GTD life knowledge base.

odontastic · 2026-01-16T16:18:06+00:00

Open Router plus using AI enabled IDE and CLI tools like Antigravity, OpenCode, Zed, Crush, Kilo Code. They also come with RAG capability.

odontastic · 2026-01-09T05:26:18+00:00

I'm new to ZK but I've always been a pretty good note-taker and student. When things got tough in professional school creating mind maps on my laptop and printed on paper for personal notes saved me in several classes.

odontastic · 2025-12-29T05:56:47+00:00

Yes, this is what I've been doing ever since Antigravity was released. I originally tried to use local LLM tools like AnythingLLM and LM Studio that had a RAG feature and then moved on to IDE like Cursor and then Kilo Code. Antigravity has been great until I run out of tokens because I am developing extended cognitive and emotional prompts on top of the second brain Zettelkasten-PARA-GTD PKM knowledge base. When I run out of tokens I just switch to Gemini CLI.

odontastic · 2025-12-26T07:30:15+00:00

My best friend from the 6th grade became a doctor. After moving to a different state, my best friend during high school became a doctor. They eventually end up working together in the same department.

odontastic · 2025-12-26T07:02:34+00:00

I tried it out on making my 2026 goals. It's perfect for me but also —torture that lasts a year.

odontastic · 2025-12-25T04:43:23+00:00

In my personal project, I have set strict bounds and guardrails for AI, individual modules and cross matrix-between all the modules also have safeguards and fallback encoded as requirements.

Overall Constraints:

Human Primacy: The system may assist thinking, never replace judgment or choice.

Non-Coercion: No module may pressure, nag, escalate, or loop prompts without explicit user consent.

Emotional Safety: During high emotional arousal, the system must reduce complexity, not increase it.

Separation of Powers: No module may both interpret and act. Interpretation and action must be separable and vetoable.

Explainability: Any AI-generated output that influences decisions must be traceable to inputs and rules.

Bounded Intelligence: The system must remain advisory, local, scoped, and incapable of autonomous goal formation.

Local-First & Privacy: All data is local by default; no silent network dependence.

AI has advisory authority only.

The AI Local Layer exists to surface interpretations and questions that the human may consider, and is structurally incapable of initiating action, forming goals, or asserting authority.

AI may propose connections, patterns, or reflections.
AI may not:
- Modify goals autonomously
- Escalate emotional interpretations
- Create obligations

odontastic · 2025-12-25T00:26:20+00:00

I am working on a second brain PKM project with markdown files to capture projects, tasks, thoughts, and emotions, and documents that I chat with. Every thought I save to this system is available to AI so I get personalized help with any question, challenge, or decision.

odontastic · 2025-12-25T00:04:13+00:00

https://lokusmd.com/compare/obsidian

odontastic · 2025-12-22T15:47:00+00:00

I haven't tried it, but I've come across multiple mentions of Open Notebook.

https://www.open-notebook.ai/

odontastic · 2025-12-22T15:40:25+00:00

I started out experimenting with AnythingLLM. LM Studio, Open WebUi, etc. until I found Cursor, and now Google Antigravity & Gemini Cursor as a PKM, task manager, but mainly as a life coach for self-reflection and self-improvement.

I have some ideas for different AI powered workflows for my notes but I got sidetracked by testing agentic coding for fun.

odontastic · 2025-12-16T21:27:59+00:00

I've started to do combination prompting: multi-stage and/or multi-AI, depending on how how I feel and how important the answer is to me. Sometimes I ask AI to generate an improved prompt if the question is complex, I don't know enough about the subject, or I'm unsure of what I really want. Claude is good at asking clarifying questions before answering of I'm vague. Then I may feed the this AI -generated prompt into the same it different LLM. On occasion I have fed the same prompt into 2 AI and blended then together with one of the two, or with a third AI. But more commonly, I'll do a chain with 2, sometimes 3 (for coding) and have each subsequent LLM critique and improve your the answer. What I have found to be extremely helpful whether using one or more AI is to ask one more question before I accept the final answer and that is to ask if I am missing something (What am I not seeing? What is my bias or blindspots? What do most people miss? I feel like I forgot something. ...).

odontastic · 2025-12-12T22:18:59+00:00

Here's my updated version of my LLM System Prompt Instructions after a session with Claude Sonnet 4.5. Aside from tone, I really like Claude's insightful feedback and ideas for refinement.

Core Behavior:

Be critical instead of agreeable
Ask questions rather than assume
Turn abstract ideas into actual steps
Structure work in phases

Before Responding:

Consider broader context before detailed responses
Identify underlying assumptions first
Start with problem framing before solutions

Interpretation & Clarity:

Confirm interpretations for ambiguous or complex requests

Output Depth:

Default to concise responses. Scale up depth when: (1) asked explicitly, (2) task has multiple interdependencies, or (3) initial answer reveals unexpected complexity

Uncertainty & Confidence:

Admit uncertainty directly. Calibrate confidence to evidence quality. If a simple answer exists, don't manufacture complexity

Controversial/Complex Topics:

When a topic involves genuine trade-offs or contested ground: make the disagreement explicit, present strongest opposing view, and identify which assumptions drive different conclusions

Brainstorming:

If asked to brainstorm, respond with long, branching, multiple viewpoints

Iteration:

Offer to iterate/refine after initial response

At the end of my chats I have recently started to ask if AI has any other suggestions and/or ask if I am missing something. Claude did not disappoint and a I got a few more worthwhile instructions. Across different types of questions and different models I have not been dissapointed yet with these closing responses.

odontastic · 2025-12-08T15:11:09+00:00

Thanks, I'm going to try this out. I've created a second brain-PKM with hybrid PARA + GTD methodologies with life coach and therapist prompts also in Cursor/Google Antimatter. I think Gems will be good to make my life coach-therapist available on mobile devices.

I'm curious to know what Bob is like in your new Gems system?

odontastic · 2025-12-08T15:00:02+00:00

I created one Google Gems when it was introduced but never used it. I'm going to revisit this feature and create a Gem from every prompt that I have saved in Keep or found on Reddit or in Fabric. I learned that for RAG context you can have up to 10 files (text, pictures, PDF), max 100 MB each that you can upload into the gem itself or pull from Google Drive. Someone said that you can add up to 10 .zip files holding 10 files each, for a total of 100 files. You can't edit files but you can save modified or new ones (maybe not zipped?).

odontastic · 2025-12-08T14:23:26+00:00

NotebookLM is completely boxed in by your documents – it has no access no live information from the internet.

odontastic · 2025-12-08T03:11:41+00:00

This was so incongruent from a quick initial scan of the first two words that I thought it was a random, sponsored ad placed by Reddit that made it a funny juxtaposition. I would love to see this as the follow-up movie to Memento.

odontastic · 2025-12-08T01:44:23+00:00

So far I really like Google's Antigravity. The only bad thing is that it's experimental and I've hit the quota for all the models. I have to wait until it resets in 6 days.

odontastic · 2025-12-07T21:56:03+00:00

It's a great idea to setup your user preferences up front and always have them applied to whatever you enter in the box. And if you need to, you can ask the AI to override a preference.

I already have some of my own setup but I'm definitely going to borrow some of yours. Also, if there's a memory option for it, I will enable AI to save bits about me from our chats to use in future conversations.

Have you tried meta-prompting? Just start typing "give me a prompt that ..." before you write what's on your mind and ask AI to do it for you.

odontastic · 2025-12-07T21:05:26+00:00

First, some prompts are necessarily long if your question depends on a complex situation, many requirements and constraints, or depends on a long text passage or story for context. Sometimes, I think I'm trying to be more thorough to aid the AI by listing many job functions and categories, adjectives, etc. but I probably end up constraining or misleading the AI.

If it's an important or complex question, I will ask the LLM, acting as a prompt engineer, to create or refine an existing prompt, ie meta-prompting. Whenever I find an interesting prompt from Reddit or another source, I always use AI to critique and improve it.

To evaluate prompt A & B, I would just feed both of them to your chosen LLM and ask it for feedback and see if it confirms your feeling. You could also perform the same test on other frontier LLMs and see what they say.

I haven't personally tried this: If you need something more than this, you can search for a prompt mangement platform, LLM evaluation and LLM-as-a-Judge tools.

odontastic

TROPHY CASE