pyRevit: Unlocking BIM Automation in Revit (and the Rise of AI Tools like ArchiLabs)

Introduction
Building Information Modeling (BIM) managers, architects, and engineers are always on the lookout for ways to streamline their Revit workflows. Automating tedious tasks in Autodesk Revit can save countless hours and reduce errors, allowing AEC professionals to focus on design and coordination. One of the most popular solutions for Revit automation is pyRevit, a powerful scripting plugin. In this post, we'll explore what pyRevit is, its core functionalities, and how it boosts BIM productivity. We’ll also compare pyRevit with other automation tools – particularly Autodesk Dynamo – and introduce ArchiLabs, a modern AI-powered alternative that is changing how we approach Revit automation. By the end, you'll understand the advantages of each tool and how new AI-driven platforms like ArchiLabs can take your Revit efficiency to the next level.

What is pyRevit? An Overview of the Revit Automation Powerhouse

pyRevit is a free, open-source, and community-driven extension for Autodesk Revit (20 pyRevit Features to Save Insane Amounts of Time | BIM Pure Blog). Originally developed by Ehsan Iran-Nejad and now supported by a team of contributors, pyRevit integrates directly into the Revit interface as an extra toolbar (the "pyRevit" tab). This plugin allows users to create custom tabs and buttons that run Python scripts inside Revit (Best Revit Automation: PyRevit vs Dynamo vs Python Shell). In essence, pyRevit provides a rapid application development environment within Revit, enabling you to prototype automation ideas quickly without needing to build a full add-in from scratch.

Core functionalities of pyRevit include:

Built-in Tool Suite – pyRevit comes bundled with dozens of ready-to-use tools that cover common tasks. For example, it has tools for making fill patterns, managing sheet numbers, cleaning up drawings, and even an "Overkill" function to remove duplicate lines (inspired by AutoCAD’s command). These out-of-the-box tools can save insane amounts of time by speeding up routine drafting and modeling tasks.

Custom Scripting with Python – Beyond the pre-packaged tools, pyRevit’s real power lies in customization. BIM managers and tech-savvy users can write their own Python scripts to automate virtually any Revit process. pyRevit supports IronPython (the .NET implementation of Python) and even lets you hook into CPython, C#, or VB.Net if needed (pyRevit | Notion). This means you can tap into the full Revit API using the language you’re comfortable with, and create one-click tools for your team. In addition, pyRevit makes it easy to share these custom tools across your organization: once a script is added to the pyRevit toolbar, others can use it without dealing with Dynamo graphs or external applications.

Extensions and Community – The pyRevit ecosystem is enriched by community-developed extensions. Many BIM professionals share their pyRevit scripts and add-ons, which you can plug into your setup. This community aspect means a wealth of free automation tools is available, and you’re not alone in developing new solutions. pyRevit even includes a command-line interface (CLI) for advanced deployment, letting BIM managers roll out sets of tools to teams and track usage – great for standardizing workflows across large firms (pyRevit | Notion) (pyRevit | Notion).

In short, pyRevit transforms Revit into a more flexible platform. It gives you a Python-based scripting environment inside Revit’s UI. Tasks like updating model parameters, generating documentation sheets, or performing QA checks can be handled with custom buttons and scripts, no external programs needed. PyRevit is often praised for making Revit automation accessible to those with modest coding experience by hiding a lot of complexity behind simple Python snippets (Best Revit Automation: PyRevit vs Dynamo vs Python Shell). If you know a bit of Python (or are willing to learn from the many examples provided), pyRevit empowers you to become a “Revit power user” automating away the boring stuff.

Key Advantages of pyRevit for BIM Managers and Teams

Why do BIM managers and tech-minded architects/engineers gravitate towards pyRevit? Here are some of the key advantages of using pyRevit for BIM automation in Revit:

Seamless Integration: pyRevit runs within Revit’s environment, meaning you don’t have to switch to an external application. The pyRevit tools appear as a tab in the Revit ribbon, making the automation feel like a native part of Revit. You can trigger scripts with a click of a button on a familiar toolbar. This seamless experience lowers the barrier for daily use and for team adoption (Best Revit Automation: PyRevit vs Dynamo vs Python Shell).

Ease of Use for Common Tasks: For everyday repetitive tasks, pyRevit is an excellent option that doesn’t require diving into complex code (Best Revit Automation: PyRevit vs Dynamo vs Python Shell). Many tasks that BIM coordinators do manually can be automated with short scripts. pyRevit’s ability to directly interact with Revit’s graphical user interface allows users to automate repetitive actions with ease (Best Revit Automation: PyRevit vs Dynamo vs Python Shell). For example, you could write a simple script to batch rename hundreds of room names or renumber sheets, and assign it to a button for anyone to use. PyRevit handles the behind-the-scenes API calls; the end user just clicks the button and saves time.

Extensibility & Customization: With pyRevit, you're not limited to pre-defined nodes (as in Dynamo). If you can imagine a workflow and code it with the Revit API, you can turn it into a tool. This offers ultimate flexibility. Many firms use pyRevit to develop in-house tools tailored to their standards – anything from automated printing routines, custom drawing checkers, model cleanup tools, to project setup wizards. Once developed, these tools can be easily shared and updated via the pyRevit extension framework or CLI, which is a big plus for BIM managers maintaining company-wide standards.

Performance: Python scripts via pyRevit can be quite efficient. In some cases, a well-written pyRevit script can run faster than an equivalent Dynamo graph, especially for heavy-duty data processing, because it bypasses the overhead of a visual graph interpreter. Also, pyRevit scripts can leverage optimized .NET libraries directly if needed. This means automation tasks that involve large datasets (like exporting all room data to Excel, or updating thousands of elements) can be handled more gracefully.

Free and Open-Source: Budget is always a consideration for BIM teams. pyRevit being completely free and open-source is a huge advantage. There are no licensing costs, and you can inspect or modify the source code. For BIM managers, this means you can standardize on pyRevit across all Revit installations in the office without procurement hurdles. The open-source nature also ensures a transparent development process and community support. If you encounter a bug or need a new feature, the community (or even your own team if you have a programmer) can contribute improvements.

Use Case Highlights: To make these advantages more concrete, let's consider a few common use cases where pyRevit shines:

Model Auditing & QA: Need to find all CAD imports in the model, or check that certain parameters are filled in? PyRevit can do that with a simple script that scans the model and reports issues. In fact, pyRevit’s default tools include a “Pre-flight checker” that graphically highlights common model problems, helping BIM managers maintain model health (Building Beyond Blueprints: The Role of Revit Data in the Modern ...).

Batch Editing & Updates: Architects often need to change a parameter across many objects (e.g., update all door fire-rating values) or update sheet names to a new convention. Instead of laborious manual editing, a pyRevit script can loop through elements and apply the changes in seconds. This is perfect for tasks like batch renaming views, renumbering rooms, or updating project standards.

Automating Documentation: PyRevit can assist in generating drawings and sheets. For example, you might automate the creation of drawing sheets for each level or each unit in a residential building. By coding the sheet creation logic once, you can produce dozens of sheets with consistent settings instantly. Tagging and annotation can also be automated – e.g., a script could place room tags on all rooms in a view, or dimension all grids on a plan. These are the kinds of tedious documentation tasks that pyRevit can help with, and BIM teams have been leveraging it to dramatically speed up the production of construction documents.

Custom Reporting and Data Export: Need to pull out data from the model for analysis or to feed into another system? With pyRevit, you can write scripts to extract data (like door schedules, area calculations, etc.) and output to CSV/Excel or even push directly to databases or Excel via COM. This is very useful for advanced BIM analytics or for integrating Revit with other company databases.

In summary, pyRevit is like a Swiss-army knife for Revit power users. It simplifies everyday BIM workflows and gives you the building blocks to automate just about anything in Revit. However, it does require someone on the team with scripting knowledge to create and maintain those custom tools. For many firms, the investment in learning pyRevit (or having a dedicated “BIM technologist” on staff to develop scripts) pays off richly in time savings.

Dynamo vs pyRevit: How Do They Compare?

When discussing Revit automation, another name that always comes up is Autodesk Dynamo. Dynamo is a visual programming tool that comes bundled with Revit (as of Revit 2020+, Dynamo is built into the Revit installation). Both Dynamo and pyRevit can accomplish similar automation tasks, but they take very different approaches. Let’s compare these tools in key areas:

1. Automation Approach and Interface
pyRevit uses a text-based scripting approach. You write Python code that interacts with the Revit API, and you can attach that script to a button in the Revit UI. This approach is great for those who are comfortable with coding or want the ultimate control over the logic. It’s also very maintainable for complex logic – since you can use comments, version control for scripts, and modular code.

Dynamo, on the other hand, offers a visual programming interface where you create “graphs” by connecting nodes that represent actions or data flows. Instead of writing code, you drag and drop nodes and connect wires to define the logic. This node-based workflow makes Dynamo accessible to users with little or no coding experience (Best Revit Automation: PyRevit vs Dynamo vs Python Shell). Architects and designers often find Dynamo intuitive because it’s visual – similar to drawing a diagram of the process. Dynamo is great for people who think graphically or want to see relationships between steps visually.

2. Learning Curve
For a non-programmer, Dynamo can be easier to get started with. You can build simple scripts by searching for nodes and connecting them, without writing a single line of code. Dynamo has a gentler learning curve for beginners in that sense. That said, complex Dynamo graphs can become challenging to manage, and understanding data flow (list levels, lacing, etc.) in Dynamo might require some learning as well. Meanwhile, pyRevit requires learning some Python and understanding of the Revit API. For those with programming inclination, Python is a relatively accessible language, and many find that once you learn the basics, coding directly can be more straightforward than manipulating dozens of nodes. In short, Dynamo is beginner-friendly upfront, whereas pyRevit requires initial coding knowledge but can be more straightforward for complex tasks once you know how to script.

3. Capabilities and Use Cases
There is a large overlap in what pyRevit and Dynamo can do (since ultimately both are leveraging the Revit API). However, each has areas where it particularly shines:

Geometry and Parametric Design: Dynamo has an edge for complex geometric manipulations and generative design. It was originally created for visual scripting, much like Rhino’s Grasshopper, and is well-suited for form-finding, algorithmic modeling, or tasks that involve creating geometry in Revit. For example, creating a complex façade pattern or optimizing a building form is often done in Dynamo. It also has built-in nodes for geometry (points, curves, surfaces) which pyRevit by itself doesn’t provide (you’d have to code geometry math manually or use the Revit API directly).

Data Processing and Model Management: pyRevit tends to be favored for model management tasks, BIM data processing, and workflow automation that is less about geometry and more about project standards or documentation. For instance, tasks like exporting data, renaming elements, or batch processing families are commonly done with pyRevit scripts. PyRevit is excellent for automating everyday tasks like updating documentation, batch editing parameters, or managing model changes (Best Revit Automation: PyRevit vs Dynamo vs Python Shell). Dynamo can do these too, but a Dynamo graph for such tasks might be overkill if a short Python script can achieve it more neatly.

Pre-built Libraries: Dynamo has a rich library of out-of-the-box nodes (and many user-created packages like Clockwork, Archi-lab, Rhythm, etc.) which means for a lot of tasks, someone may have already made a node or graph you can reuse. pyRevit relies on you writing or importing code, but as mentioned, there are many example scripts and community extensions available. If you prefer reusing existing solutions, Dynamo’s package manager offers hundreds of downloadable addons for various tasks. If you prefer writing exactly what you need, pyRevit gives you that freedom with Python.

4. Performance and Complexity
For extremely large or complex operations, the performance can vary. Dynamo’s visual nature introduces some overhead; large graphs (with hundreds of nodes) can become slow to open or run, and troubleshooting them can be tricky. pyRevit, being code, can handle complexity by using efficient algorithms and is only limited by how well the script is written (and the Revit API’s own performance). There are reports from the community that maintaining very complex Dynamo scripts over time (especially across Revit updates) can be cumbersome, whereas a Python script can be easier to adjust as APIs change (Dynamo vs Revit Plugins - Reddit). On the flip side, Dynamo’s visual layout can make it easier to debug logical issues for some, since you can see which node produces an unexpected result. It really depends on the complexity of the task and the skill set of the user.

5. Team Collaboration
If multiple team members need to use an automation workflow regularly, pyRevit has a nice advantage: you can deploy a pyRevit script as a tool for the whole team by adding it to the shared pyRevit extension. Everyone gets the new button in Revit, and it works out-of-the-box. Dynamo graphs, unless compiled into a custom Dynamo Player script or add-in, often require each user to open Dynamo and run the graph manually. That can be less convenient for widespread adoption. Dynamo Player (a feature in Revit that lets you run Dynamo scripts without opening the full editor) has improved this by allowing packaging of graphs for end-users, but it’s still not as seamless as a native Revit button. BIM managers often leverage pyRevit’s deployment and telemetry features to roll out tools and see how they’re used (pyRevit | Notion) (pyRevit | Notion), which is valuable in a firm-wide setting.

Summary – pyRevit or Dynamo?
Both tools are immensely useful, and many firms actually use both: Dynamo for visually exploring design logic or one-off tasks, and pyRevit for more repeatable production tools and power-user functionality. If you’re an architect or engineer who doesn’t code, Dynamo might be your entry point to automation, allowing you to drag-and-connect your way to a solution. If you’re a BIM manager or developer comfortable with Python, pyRevit will likely feel more direct and robust for creating custom workflows. For everyday Revit automation, pyRevit is often praised as a quick and effective solution (Best Revit Automation: PyRevit vs Dynamo vs Python Shell). Meanwhile, Dynamo shines in scenarios where visual programming and experimentation are needed, or when collaborating on a complex graph in a team (like computational design tasks).

Ultimately, the choice depends on the task at hand and your team’s skills. It’s not an either/or – they complement each other in many cases. However, a new generation of tools is emerging that aim to combine the ease-of-use of visual scripting with the power of code and even add artificial intelligence into the mix. This is where ArchiLabs comes in.

Meet ArchiLabs – A Modern AI-Powered Alternative to pyRevit and Dynamo

While pyRevit and Dynamo have paved the way for Revit automation, ArchiLabs is introducing a cutting-edge approach that leverages Artificial Intelligence to make BIM automation even more accessible. ArchiLabs is a relatively new player in this space, positioned as an AI copilot for architects and Revit users. It’s designed to handle many of the same automation needs – like generating sheets, annotating drawings, modifying model data – but with a radically different user experience.

What is ArchiLabs?
ArchiLabs is an AI-powered automation platform tailored for Revit and other architectural design tools. Instead of writing scripts or manually creating node graphs, users can interact with ArchiLabs through a natural language chat interface and a drag-and-drop automation interface. In simple terms, ArchiLabs lets you describe what you want to accomplish in plain English, and its AI engine translates that into an automation workflow behind the scenes. This workflow can be visualized as a network of “nodes” (similar to Dynamo nodes, conceptually) that execute tasks in Revit. However, ArchiLabs does not use Dynamo under the hood – it has its own proprietary engine for executing automation, so it runs independently within Revit without requiring Dynamo at all.

Drag-and-Drop Interface (No Dynamo Required): ArchiLabs offers a user-friendly drag-and-drop interface for automation. Think of it as a flowchart or node diagram editor, but streamlined for typical BIM tasks. You can build automation sequences by selecting predefined “AI nodes” and linking them in a logical flow. These nodes are high-level building blocks (powered by AI algorithms) that perform specific Revit tasks. For example, one node might be “Create Sheets from Template”, another “Tag All Elements in View”, another “Dimension Walls in Floor Plan”. You can chain these together to form a custom automation process. This is analogous to visual scripting, but ArchiLabs provides more abstract, intelligent nodes so you're not working at the low-level detail of Dynamo nodes. The drag-and-drop interface means anyone can assemble automation workflows without coding – similar in spirit to Dynamo’s ease, but more guided and focused on BIM use cases.

Importantly, because ArchiLabs runs its own engine, it sidesteps Dynamo’s complexity. You don't need to install or maintain Dynamo packages. ArchiLabs is self-contained and purpose-built for Revit automation, which can be a relief for IT managers who worry about Dynamo version compatibility or for users who find Dynamo's interface daunting.

AI Chat-Based Workflow Creation: Perhaps the most revolutionary aspect of ArchiLabs is its AI chat assistant. ArchiLabs includes an AI copilot (chatbot) that understands natural language prompts. A user can simply type a request like, "Generate sheets for all floor plans and place corresponding room schedules on each sheet," or "Tag all doors and windows in this view and add dimensions to wall grids." The AI will interpret this request and automatically create the necessary automation node layout to fulfill it. In other words, ArchiLabs can build the automation for you. This AI-driven approach dramatically lowers the skill threshold: even if you have zero experience with coding or visual scripting, you can still automate complex tasks by describing your goal and letting the AI figure out the “how.”

Under the hood, ArchiLabs' AI is executing Python scripts (or similar API calls) in a safe manner. According to a founder’s overview, an architect can put requests into a chat, and the AI is able to automatically run transaction-safe Python scripts to automate tedious tasks in CAD tools (FounderJournal | ArchiLabs Launches: AI Copilot for Architects). This means the AI isn’t hacking around – it uses proper Revit API calls (ensuring transactions are handled correctly, so it doesn't corrupt your Revit file) to do the work. For the user, this feels like magic: you type a command in plain language, and see the result happen in Revit moments later, or get a ready-made automation workflow that you can tweak and reuse.

Advanced AI Nodes for Tedious Revit Tasks: ArchiLabs focuses on the kinds of labor-intensive tasks that BIM professionals know all too well. Some standout capabilities where ArchiLabs’ AI nodes excel include:

Automated Sheet Creation: Generating multiple sheets in Revit, especially in bulk, is usually a manual slog or requires a custom script. ArchiLabs provides AI-driven sheet creation where you can instruct it to create sheets for a set of views or levels. The AI node can apply naming conventions, choose title blocks, and even lay out views on the sheets as per rules. This can all be done through a simple prompt or a couple of node configurations, saving BIM managers a ton of time during project setup or issuance.

Automated Tagging: Placing tags for all rooms, doors, windows, etc., in dozens of views is a classic tedious task. ArchiLabs offers automation for tagging – you might, for instance, drag a “Tag Elements” node into your workflow, specify which categories (doors/windows/rooms) and which views or sheets it should apply to, and the AI will handle tagging every element appropriately. Through the chat interface, you could also just say "Tag all the doors and windows in the floor plan views," and ArchiLabs will understand and execute it. This ensures consistency in documentation and spares designers the boredom of tagging hundreds of elements by hand.

Automated Dimensioning: Dimensioning is another labor-heavy aspect of producing construction documents. ArchiLabs’ AI includes nodes for automatic dimensioning of certain elements – for example, it can place dimensions on all grid lines or wall faces in a plan. With an AI approach, it can even make decisions like avoiding duplicate dimension chains or selecting the nearest logical points to dimension. So you could auto-dimension multiple plan views with a single command, something that otherwise might require a complex Dynamo graph or third-party tool. By handling the grunt work of dimensioning, the AI frees up architects to fine-tune only the critical details.

Intelligent Batch Operations: Beyond drawings, ArchiLabs can automate batch operations that normally require careful scripting. Need to print all sheets to PDF, or export DWGs of all plan views? ArchiLabs can set up those routines. Need to change a parameter across dozens of families or check for compliance with a standard? The AI nodes can perform such model-wide scans and updates, guided by either preset logic or by interpreting your natural language instructions.

The key distinction is that these tasks are powered by AI-informed logic. Traditional scripts (in pyRevit or Dynamo) will do exactly what you explicitly program them to do. ArchiLabs’ AI nodes, however, may incorporate smarter defaults or interpret intent. For example, if you ask it to "create typical detail sheets", the AI might infer which details are typical based on naming or usage, something a basic script wouldn’t know unless hardcoded. This intelligence makes ArchiLabs feel like a collaborative partner rather than just a strict tool.

Benefits for BIM Managers, Architects, and Engineers: ArchiLabs’ approach brings several clear benefits to AEC professionals:

Minimal Learning Curve: You don't have to be a programmer or a Dynamo expert. The familiar chat interface means if you can describe the task, you can automate it. For busy architects and engineers, this lowers the barrier to entry significantly. BIM managers can empower their whole team to automate tasks without extensive training.

Speed and Efficiency: By leveraging AI, ArchiLabs can set up complex automation in a fraction of the time it would take to manually create a Dynamo graph or write a script. This is a game-changer during tight project deadlines. For instance, issuing a set of drawings with all sheets updated and annotated can be done in minutes with ArchiLabs, where it might take hours of manual work otherwise. As the Founder of ArchiLabs noted, this AI-driven automation makes the design and documentation process “faster and more efficient” (FounderJournal | ArchiLabs Launches: AI Copilot for Architects).

Consistency and Reduced Errors: When tasks like tagging or dimensioning are automated, there's less risk of missing an element or mis-numbering something. ArchiLabs will apply the task uniformly across the project. BIM managers can rest assured that standards are being followed accurately by the AI (especially if they have set up templates or rules for the AI to use).

Focus on High-Value Work: Ultimately, the goal of tools like pyRevit, Dynamo, and ArchiLabs is to free professionals from the drudgery of repetitive modeling or documentation tasks. ArchiLabs takes this to the next level by freeing you even from having to figure out how to automate the task – you just need to know what you want done. This allows architects and engineers to reclaim time for design thinking, coordination, and problem-solving, rather than routine drafting. For BIM managers, it means they can spend more time on strategic improvements rather than manually enforcing CAD standards.

It’s worth noting that ArchiLabs is an emerging technology. Being AI-driven, it will continuously learn and improve as more users interact with it. This is a different paradigm from static tools like pyRevit or Dynamo scripts which only change when a human updates them. With ArchiLabs, we see the beginnings of an adaptive automation system that could anticipate user needs and optimize BIM workflows proactively.

Conclusion: The Future of BIM Automation with pyRevit, Dynamo, and ArchiLabs

In the landscape of BIM automation, pyRevit and Dynamo have proven to be invaluable tools for architects, engineers, and BIM managers looking to enhance Revit’s capabilities. pyRevit offers simplicity, speed, and customizability for day-to-day tasks, making it a beloved solution for those comfortable with a bit of coding. Dynamo opens the door for visually inclined problem-solvers to create powerful parametric and automation workflows without traditional programming. Each has its place: many firms use pyRevit to deploy firm-specific tools and Dynamo for design exploration and automation by a broader user base.

Now, with the advent of AI-powered solutions like ArchiLabs, we are witnessing the next evolution in BIM automation. ArchiLabs builds on the foundations laid by tools like pyRevit and Dynamo but lowers the barrier even further by using AI to handle the complexity. BIM managers no longer need to choose between code or nodes – they can leverage an AI copilot to get the job done faster. For the end-users (the architects and engineers), this means automation becomes as easy as asking for it. Imagine starting your day by telling your Revit AI assistant, “Update all my sheet names, generate new sheets for each level’s plans, tag all the doors, and align all the view titles”, and having it done before you finish your coffee. That is the promise that ArchiLabs and similar AI tools are beginning to deliver.

In comparing pyRevit, Dynamo, and ArchiLabs side-by-side, it's clear that the goal of all three is to make Revit work for you, not the other way around:

pyRevit gives power to the programmer inside every BIM manager, providing a flexible Python-based toolkit to mold Revit to your will.

Dynamo empowers a broad range of users to graphically script and play with data and geometry, making automation a visual and shareable endeavor.

ArchiLabs introduces an intelligent assistant into the mix, enabling even those with no scripting knowledge to achieve automation through AI-driven commands and intuitive interfaces.

For firms aiming to stay at the cutting edge of efficiency, it’s not about picking one tool over the other in absolute terms, but rather understanding which tool best fits each scenario. You might use pyRevit for certain custom tools your BIM team maintains, Dynamo for experimental design tasks or quick calculations, and ArchiLabs for rapidly executing production work and prototyping new automations via AI assistance. Embracing these technologies can lead to significant gains in productivity and give your team a competitive advantage in delivering projects faster and with higher quality.

As BIM technology evolves, one thing is certain: automation will play an ever-greater role in our workflows. Tools like pyRevit have shown how much is possible with a bit of scripting ingenuity. Dynamo has broadened that reach through visual programming. And now, ArchiLabs is pointing toward a future where AI and human creativity work hand-in-hand to eliminate tedious work altogether. For BIM managers, architects, and engineers, it’s an exciting time to re-imagine your workflows. By leveraging these tools, you can free up your talent to focus on what truly matters – designing great buildings and infrastructure.

Ready to experience the next level of Revit automation? Explore how ArchiLabs can become your AI-powered BIM partner, and say goodbye to Revit tedium. With the right mix of tools and a forward-thinking mindset, you can transform your BIM processes and work smarter than ever before.

(Best Revit Automation: PyRevit vs Dynamo vs Python Shell) (Best Revit Automation: PyRevit vs Dynamo vs Python Shell) (Best Revit Automation: PyRevit vs Dynamo vs Python Shell) (Best Revit Automation: PyRevit vs Dynamo vs Python Shell) (FounderJournal | ArchiLabs Launches: AI Copilot for Architects)