Logan Kilpatrick
@OfficialLoganK · 6d ago@boneGPT Database, auth, payments all coming soon!
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@boneGPT Database, auth, payments all coming soon!
Vertex is our platform for enterprise AI!
🍌 nano banana prompt
Kids’ Crayon Travel Journal Illustration Prompt
This prompt generates a vibrant, child-like crayon-style vertical (9:16) travel-journal illustration for a {City Name} trip, automatically creating a winding route with daily recommended attractions, cute doodles, local landmarks, foods, and playful handwritten notes. The tone is warm, fun, and full of childlike curiosity.
--- Prompt ---
Please create a vibrant, child-like crayon-style vertical (9:16) illustration titled “{City Name} Travel Journal.”
The artwork should look as if it were drawn by a curious child using colorful crayons, featuring a soft, warm light-toned background (such as pale yellow), combined with bright reds, blues, greens, and other cheerful colors to create a cozy, playful travel atmosphere.
I. Main Scene: Travel-Journal Style Route Map
In the center of the illustration, draw a “winding, zigzagging travel route” with arrows and dotted lines connecting multiple locations.
The route should automatically generate recommended attractions based on {Number of Days}:
Example structure (auto-filled with {City Name}-related content):
- “Stop 1: {Attraction 1 + short fun description}”
- “Stop 2: {Attraction 2 + short fun description}”
- “Stop 3: {Attraction 3 + short fun description}”
- …
- “Final Stop: {Local signature food or souvenir + warm closing remark}”
Rules:
- If no number of days is provided, default to a 1-day highlight itinerary.
II. Surrounding Playful Elements (Auto-adapt to the City)
Add many cute doodles and child-like decorative elements around the route, such as:
1. Adorable travel characters
- A child holding a local snack
- A little adventurer with a backpack
2. Q-style hand-drawn iconic landmarks
- “{City Landmark 1}”
- “{City Landmark 2}”
- “{City Landmark 3}”
3. Funny signboards
- “Don’t get lost!”
- “Crowds ahead!”
- “Yummy food this way!”
(Auto-adjust contextually for the city)
4. Sticker-style short phrases
- “{City Name} travel memories unlocked!”
- “{City Name} food adventure!”
- “Where to next?”
5. Cute icons of local foods
- “{Local Food 1}”
- “{Local Food 2}”
- “{Local Food 3}”
6. Childlike exclamations
- “I didn’t know {City Name} was so fun!”
- “I want to come again!”
III. Overall Art Style Requirements
- Crayon / children’s hand-drawn travel diary style
- Bright, warm, colorful palette
- Cozy but full and lively composition
- Emphasize the joy of exploring
- All text should be in a cute handwritten font
- Make the entire page feel like a young child’s fun travel-journal entry
---
Input :
Chicago 7-Day Trip, English




Infographics and Slide Decks are BACK for Free + Pro users! 🥳
To celebrate, try "publishing" your handwritten stories by creating a Slide Deck. Using photos of the notes, @NotebookLM can add stunning visuals and narrative support to accompany any storyline!
(Prompt in reply)


You must be willing to do things in the unique ways you think are best-- and to open-mindedly reflect on the feedback that comes inevitably as a result of being that way.
Learning to be radically transparent is like learning to speak in public: While it's initially awkward, the more you do it, the more comfortable you will be with it. This has been true for me. For example, I still instinctively find being as radically transparent in the ways that I am in this book uncomfortable because I am exposing personal material to the public that will attract attention and criticism. Yet I am doing it because I've learned that it's best, and I wouldn't feel good about myself if I let my fears stand in the way. In other words, I have experienced the positive effects of radical transparency for so long that it's now uncomfortable for me not to be that way.
Besides giving me the freedom to be me, it has allowed me to understand others and for them to understand me, which is much more efficient and much more enjoyable than not having this understanding. Imagine how many fewer misunderstandings we would have and how much more efficient the world would be--and how much closer we all would be to knowing what's true--if instead of hiding what they think, people shared it openly. I'm not talking about everyone's very personal inner secrets; I'm talking about people's opinions of each other and of how the world works. As you'll see, I've learned firsthand how powerful this kind of radical truth and transparency is in improving my decision making and my relationships. So whenever I'm faced with the choice, my instinct is to be transparent. I practice it as a discipline and I recommend you do the same. #principleoftheday
Opus 4.5: 7.5-8/10 helpful.
I finally trust this model to write for me and it actually has good judgement/taste as to what matters.
For coding, it feels like it can just work forever and not get stuck in the same vibe coding doom loops as previous models.
Some things are still not perfect: memory, computer use, document creation, proactivity, etc but there's a clear line of sight to improvements on those (some product UX innovations are required here as well).
At this point it feels like we are only a few model generations away from nearing a 10/10 for me.
Claude 2: rewrote some emails for me, cleaned up grammar in docs. 1.5/10 helpful.
3 Opus: first model I felt I could intelligently talk with, helped with some small coding/scripting. 3/10 helpful.
3.5 Sonnet: started experimenting with end to end coding projects, maybe some life advice here and there. 4/10 helpful.
New 3.5 Sonnet: most of the time better at coding than I am, lots of life advice/counseling, first model I trust with health/fitness recs, use image in/multimodal much more, I turn to it first for most of my work tasks. 5.5/10 helpful. With external integrations (MCP, etc), is probably 6.5/10 helpful.
This progression happened in just about a year which is crazy to think. 10/10 helpful on this scale would be basically an immensely wise and knowledgable life assistant with all the context on you and the things you do. We will get there soon.
📞🤖 Phone Calling Agents Course
Made by the LangChain Community
Build production-ready voice AI agents for real calls via Twilio. Uses Opik (native LangChain integration), open-source models, multi-week course with live sessions.
Check it outgithub.com/neural-maze/re…iV
Five new Mistral models today, but the one I'm most excited about is this tiny 3B model that has vision support and can run entirely in a browser!
NEW: @MistralAI releases Mistral 3, a family of multimodal models, including three start-of-the-art dense models (3B, 8B, and 14B) and Mistral Large 3 (675B, 41B active). All Apache 2.0! 🤗
Surprisingly, the 3B is small enough to run 100% locally in your browser on WebGPU! 🤯
llama.cpp (PR #16095) just added support for Qwen3-Next — Qwen’s new hybrid architecture!
You can now run Qwen3-Next locally with efficient CPU/GPU inference. 🚀
🔗 PRgithub.com/ggml-org/llama…mI
Fun stat: Claude Code went from 0->$1b in run-rate revenue in 6 months since being made generally available🚀
Claude Code over Excel++ 🤖📊
Claude already 'works' over Excel, but in a naive manner - it writes raw python/openpyxl to analyze an Excel sheet cell-by-cell and generally lacks a semantic understanding of the content. Basically the coding abstractions used are too low-level to have the coding agent accurately do more sophisticated analysis.
Our new LlamaSheets API lets you automatically segment structure complex Excel sheets into well-formatted 2D tables. This both gives Claude Code immediate semantic awareness of the sheet, and allows it to run Pandas/SQL over well-structured dataframes.
We've written a guide showing you how specifically to use LlamaSheets with coding agents!
Guidedevelopers.llamaindex.ai/python/cloud/l…Bo
Sign up to LlamaCloudcloud.llamaindex.aiz8
Build scripts that automate spreadsheet analysis using coding agents and LlamaSheets to extract clean data from messy Excel files.
🤖 Set up coding agents like @claudeai and @cursor_ai to work with LlamaSheets-extracted parquet files and rich cell metadata
📊 Use formatting cues like bold headers and background colors to automatically parse complex spreadsheet structures
⚙️ Create end-to-end automation pipelines that extract, validate, analyze, and generate reports from weekly spreadsheets
🔍 Leverage cell-level metadata to understand data types, merged cells, and visual formatting that conveys meaning
The video below is an example of metadata analysis of spreadsheets via LlamaSheets, with Claude creating a script to parse budget spreadsheets by reading formatting patterns and generating structured datasets automatically.
Complete setup guide with sample data and workflowdevelopers.llamaindex.ai/python/cloud/l…wO2