https://community.wolfram.com RSS Feed for Wolfram Community showing any discussions tagged with Staff Picks sorted by active. https://community.wolfram.com/groups/-/m/t/3657330 ![The First Gamebook: a graph-theoretic computational analysis of Consider the Consequences (1930)][1] &[Wolfram Notebook][4] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=_Screenshot2026-03-12at2.22.56%E2%80%AFPM.jpg&userId=11733 [2]: https://community.wolfram.com//c/portal/getImageAttachment?filename=TheFirstGamebook.png&userId=20103 [3]: https://community.wolfram.com//c/portal/getImageAttachment?filename=TheFirstGamebook.png&userId=20103 [4]: https://www.wolframcloud.com/obj/796787d5-db95-467a-a734-e51d94b79f37 Zsombor Méder 2026-03-11T08:15:44Z https://community.wolfram.com/groups/-/m/t/3651250 ![Computational dynamics of the classical and perturbed circular restricted three-body problem][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=10346hero.png&userId=20103 [2]: https://www.wolframcloud.com/obj/f37e309d-f41e-45e5-a952-bb2953a400c4 Akram Masoud 2026-03-06T16:49:26Z https://community.wolfram.com/groups/-/m/t/3660024 &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/58299105-a4ba-48cc-b0a6-4e3bfc90fb6b Jana Rusrus 2026-03-13T14:50:35Z https://community.wolfram.com/groups/-/m/t/3660101 ![Gibbs Ensemble Monte Carlo simulations for fluid phase equilibria: experimental data and estimations][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=GibbsEnsembleMonteCarlosimulationsforfluidphaseequilibriaexperimentaldataandestimations.jpg&userId=20103 [2]: https://www.wolframcloud.com/obj/a1f60ec0-d9c9-487a-bdc9-9b3f487bc534 Michael Haring 2026-03-13T14:16:05Z https://community.wolfram.com/groups/-/m/t/3656731 &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/545ac7e4-f815-43fb-9d0f-33d85e0f5e2d Brian Beckman 2026-03-10T23:44:24Z https://community.wolfram.com/groups/-/m/t/3639468 ![Using Wolfram language for early breast cancer detection][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=57809493hero.png&userId=20103 [2]: https://www.wolframcloud.com/obj/0adc3b10-77ad-4ce6-b0c1-d07647aaa79c Jimena Rodríguez Vargas 2026-02-14T01:30:02Z https://community.wolfram.com/groups/-/m/t/3656544 [![Black Hole Vision: an interactive iOS application for visualizing black holes][1]][2] &[Wolfram Notebook][3] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=BlackHoleVision-aninteractiveiOSapplicationforvisualizingblackholes.jpg&userId=20103 [2]: https://community.wolfram.com//c/portal/getImageAttachment?filename=BlackHoleVision-aninteractiveiOSapplicationforvisualizingblackholes.jpg&userId=20103 [3]: https://www.wolframcloud.com/obj/c94b0ce3-acb0-4f23-adb6-e8aa2d4158f3 Alex Lupsasca 2026-03-10T20:30:37Z https://community.wolfram.com/groups/-/m/t/3656501 [![Analyzing LLM extraction (distillation) attacks: latent clustering & latency-based anomaly detection][1]][2] &[Wolfram Notebook][3] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=7838AnalyzingLLMextraction%28distillation%29attacks.png&userId=20103 [2]: https://community.wolfram.com//c/portal/getImageAttachment?filename=7838AnalyzingLLMextraction%28distillation%29attacks.png&userId=20103 [3]: https://www.wolframcloud.com/obj/a3538b50-0adc-40fe-b687-15c5f8933dd1 Ahmed Elbanna 2026-03-10T15:02:08Z https://community.wolfram.com/groups/-/m/t/3649858 &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/2b105707-a3af-4296-bfa6-f09b41705efe Valerie Artavia 2026-03-05T20:48:58Z https://community.wolfram.com/groups/-/m/t/3655721 &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/3eb36db8-fd30-4bb0-898a-19be77d0704f Housam Binous 2026-03-09T11:25:23Z https://community.wolfram.com/groups/-/m/t/3651601 &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/9c1d2066-2395-413c-bb7d-c4f9226eeeef Leslie Ann Goldberg 2026-03-06T17:55:51Z https://community.wolfram.com/groups/-/m/t/3647733 &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/b04b6551-fecf-465d-b02d-63d95abd751c Tigran Nersissian 2026-03-02T11:53:13Z https://community.wolfram.com/groups/-/m/t/3649071 ![Claude cycles -- How to split a 3D toroidal lattice. -- AI logic & Knuth's conjecture: Claude LLM's generalized rule for 3D toroidal Hamiltonian lattices ][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=Claudecycles--Howtosplita3Dtoroidallattice.png&userId=20103 [2]: https://www.wolframcloud.com/obj/cbad4daa-0f63-4d5b-a142-078ad6c26421 Ed Pegg 2026-03-04T23:01:22Z https://community.wolfram.com/groups/-/m/t/3646989 ![Salvo Combat Modeling: Battle of Coronel][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=SalvocombatmodelingBattleofCoronel.png&userId=20103 [2]: https://www.wolframcloud.com/obj/3a7678cb-0540-4a1d-85d8-793ac90dbe65 Anton Antonov 2026-03-01T18:18:51Z https://community.wolfram.com/groups/-/m/t/3649769 ![Special Functions: A Computational Approach now available in Wolfram Notebook format][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=SpecialFunctionsAComputationalApproachnowavailableinWolframNotebookformat.png&userId=20103 [2]: https://www.wolframcloud.com/obj/4a2dc2d7-e361-4e5e-9336-8922f7cde0a3 Tigran Ishkhanyan 2026-03-05T13:10:41Z https://community.wolfram.com/groups/-/m/t/3646965 &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/4f0a4ff2-ffad-46b5-ab11-ba4964d1a296 Jana Rusrus 2026-02-28T15:27:16Z https://community.wolfram.com/groups/-/m/t/3647051 [![The entropy bagel: complex roots of Littlewood polynomials][1]][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=_test.jpg&userId=11733 [2]: https://www.wolframcloud.com/obj/97dc0591-1fe8-45a9-9cf7-8074051c6b12 Ed Pegg 2026-02-27T17:34:59Z https://community.wolfram.com/groups/-/m/t/3648303 Wolfram has developed several features for integrating our technology with LLMs. The major products are [chat notebooks](https://reference.wolfram.com/language/tutorial/ChatNotebooks.html), [Notebook Assistant](https://www.wolfram.com/notebook-assistant-llm-kit/), [LLM functions](https://reference.wolfram.com/language/guide/LLMFunctions.html), [remote MCP server](https://www.wolfram.com/artificial-intelligence/mcp-service/), [the MCPServer paclet](https://resources.wolframcloud.com/PacletRepository/resources/Wolfram/MCPServer/), and [AgentOne](https://www.wolfram.com/apis/documentation/cag/wolfram-agent-one-api/). With all these offerings, it is confusing to know which one to use. This notebook should help you figure it out. > **Please comment about your experience with our AI product, we'd love to hear:** - Questions - Suggestions - Use cases - Anything else you'd like to share # Chat Notebook and Notebook Assistant ## Who are they for If you are using a notebook and you want AI to help you by writing, fixing, or editing the code, these are the tools for you. [Chat notebooks](https://reference.wolfram.com/language/tutorial/ChatNotebooks.html) and [Notebook Assistant](https://www.wolfram.com/notebook-assistant-llm-kit/) are built right into the notebooks that Wolfram users are familiar with. These are great for quick tasks with a relatively small scale. You can ask them for pure code assistance help or to help solve problems where you think Wolfram will be a helpful tool. ## How do I use it To use either chat notebooks or Notebook Assistant, it's easiest with an [Wolfram Notebook Assistant + LLM Kit subscription](https://www.wolfram.com/notebook-assistant-llm-kit/). In recent versions, all notebooks are essentially chat notebooks. To use Chat notebooks, just insert a ChatInput cell into the body of a notebook (just click between cells and click single quote character). You can ask an LLM about whatever comes above that cell. ![enter image description here][1] To use Notebook Assistant, open the sidebar using the button in the toolbar ![enter image description here][2]. Type your question or demand in the input field and send it. The AI will "see" whatever is in the notebook. [![enter image description here][3]][4] There are subtle differences between the responses generated by Notebook Assistant and chat notebooks, because there are differences in the prompting, tools, and context. But I find the interface to be the most important difference. Most of the time I find it useful to have the chat conversation outside of the main notebook, so I use Notebook Assistant more than chat notebook cells. If I want to change the way the AI is working by customizing the LLM model, persona or tools, I use a chat cell. It has a [menu](https://reference.wolfram.com/language/tutorial/ChatNotebooks.html?#1903336254) that makes it easy. But you should try them both and see what works for you. # LLM-based functions ## Who are they for If instead of wanting AI to help you create code, you want to create code that uses AI, then LLM-based functions are the right tool for you. There are many related functions: LLMSynthesize, LLMFunction, LLMSubmit, ChatEvaluate, ServiceExecute, etc. Each is well documented, so I won't go into details here. ## How do I use it First you need to think about which service you want to use (OpenAI, Anthropic, Gemini, etc). Whatever service you choose there is a way to do it using these functions. Usually you will need to use the [LLMEvaluator](https://reference.wolfram.com/language/ref/LLMEvaluator.html?q=LLMEvaluator) and [Authentication](https://reference.wolfram.com/language/ref/Authentication) options. The simplest way is to use Wolfram's [LLMKit subscription](https://www.wolfram.com/notebook-assistant-llm-kit/). Then we take care of everything, your normal Wolfram account will just make it work. LLMSynthesize["The sky was "] > Out[]= "The sky was painted with hues of orange and pink as the sun dipped below the horizon, casting a warm glow over the world. Wispy clouds drifted lazily, catching the fading light, while the first stars began to twinkle in the deepening blue. A gentle breeze whispered through the trees, carrying the sweet scent of blooming flowers. It was a moment of tranquility, a perfect transition from day to night." Here is an example using OpenAI: LLMSynthesize["The sky was ", LLMEvaluator -> <|"Model" -> {"OpenAI", "gpt-5.1"}|>, Authentication -> SystemCredential["OPENAI_API_KEY"]] > Out[]= "...the color of television, tuned to a dead channel.If you're writing and want options, here are a few more ways to continue that line:- "The sky was bruised purple, heavy with unshed rain."- "The sky was a flat, exhausted gray, like someone had rubbed all the blue out of it."- "The sky was the pale white of old bones, washed clean by years of wind."Tell me the tone or genre you're going for (poetic, sci‑fi, horror, romance, etc.), and I can tailor a bunch of variations." These functions are extremely customizable, for example, you can add [LLMTool](https://reference.wolfram.com/language/ref/LLMTool) and [LLMPromptGenerator](https://reference.wolfram.com/language/ref/LLMPromptGenerator) features to make your own functions work with the AI. # MCP Service and the MCPServer paclet ## Who are they for If you are using an AI tool outside of a Wolfram product, like Cursor, Claude Code, or Antigravity and want to add Wolfram technology to it, you want to use one of our MCP servers. There are multiple ways to do that. If you have a Wolfram desktop product like Mathematica or Wolfram Engine AND are focused on Wolfram Language development, then you should use the [MCPServer paclet](https://resources.wolframcloud.com/PacletRepository/resources/Wolfram/MCPServer/). This is the best choice for people building large-scale projects featuring Wolfram Language code. If you do not have a Wolfram desktop product OR if you are more interested in using Wolfram's tools, like computation and knowledge APIs, for creating non-Wolfram code then you should use the [MCP Service](https://www.wolfram.com/artificial-intelligence/mcp-service/). Most applications support our remote-hosted MCP server, but a few require special authentication protocols so in that case we also have a desktop application for connecting to the remote MCP server. ## How do I use the MCPServer paclet First you want a [Wolfram Notebook Assistant + LLM Kit subscription](https://www.wolfram.com/notebook-assistant-llm-kit/). You can use the paclet without it, but it will work much better with the subscription because internally, it will use Wolfram Notebook Assistant + LLM Kit to improve results. Then, follow the instructions in the documentation for the [Wolfram/MCPServer paclet](https://resources.wolframcloud.com/PacletRepository/resources/Wolfram/MCPServer/). The paclet contains tools for installing its own configuration into most common applications. For users that are using agentic coding tools, take a look at the [Quick Start for AI Coding Applications](https://resources.wolframcloud.com/PacletRepository/resources/Wolfram/MCPServer/tutorial/QuickStartforAICodingApplications.html). For users that are using in chat applications, like Claude Desktop, take a look at [Quick Start for Chat Clients](https://resources.wolframcloud.com/PacletRepository/resources/Wolfram/MCPServer/tutorial/QuickStartforChatClients.html). ## How do I use the MCP Service First you need an [MCP Service subscription](https://www.wolfram.com/artificial-intelligence/mcp-service/). This is different than Notebook Assistant + LLM Kit. If you already have Notebook Assistant + LLM Kit, you probably want to use the MCPServer paclet. To make use of the MCP Service, you will also need access to an LLM through your MCP client. Once you have an MCP Service subscription you can follow the instructions for your application [here](https://support.wolfram.com/73463). # AgentOne ## Who is it for If you use an LLM directly via an API already and want to swap it out with one that has Wolfram knowledge and computation built into to it, then you use should use the [AgentOne API](https://www.wolfram.com/apis/documentation/cag/wolfram-agent-one-api/). AgentOne is the whole shebang, all prepackaged together into one API that you can use in place of another LLM API. ## How do I use AgentOne Contact our [partnerships](mailto:partner-program@wolfram.com) team. # Decision flowchart created with help from Notebook Assistant ![enter image description here][5] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=1howdoIuseit.png&userId=20103 [2]: https://community.wolfram.com//c/portal/getImageAttachment?filename=2NotebookAssistant.png&userId=20103 [3]: https://community.wolfram.com//c/portal/getImageAttachment?filename=3NotebookAssistant.png&userId=20103 [4]: https://community.wolfram.com//c/portal/getImageAttachment?filename=3NotebookAssistant.png&userId=20103 [5]: https://community.wolfram.com//c/portal/getImageAttachment?filename=3tg5gzf5.jpg&userId=11733 Bob Sandheinrich 2026-03-03T11:41:16Z https://community.wolfram.com/groups/-/m/t/3641315 ![Ocean color calculus image integration NASA MODIS-aqua satellite part 2-α9.0][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=OceancolorcalculusimageintegrationNASAMODIS-aquasatellitepart2-%CE%B19.0.png&userId=20103 [2]: https://www.wolframcloud.com/obj/789fed36-a288-473b-8115-2cde1320d405 Dara Shayda 2026-02-18T05:41:22Z https://community.wolfram.com/groups/-/m/t/3648128 ![Bohmian trajectories and the role of nodal surface manifolds in hydrogen eigenstates: Part 2][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=Bohmiantrajectoriesandtheroleofnodalsurfacemanifoldsinhydrogeneigenstates-crop-video-.gif&userId=20103 [2]: https://www.wolframcloud.com/obj/57d77365-9bdd-4072-b8da-4686c29f6f82 Klaus von Bloh 2026-03-03T10:25:54Z