ArchiLabs vs. Pele AI: AI Assistants Transforming Revit Workflows

Introduction: AI Hits the Revit Toolbox

Building Information Modeling (BIM) managers, architects, and engineers know the pain of tedious Revit tasks. Creating dozens of sheets, tagging every element on each view, and adding dimension strings across an entire project can burn countless hours (archilabs.ai). Historically, teams turned to tools like Autodesk Dynamo and pyRevit to automate Revit workflows. Dynamo is a visual programming interface that lets users create scripts by connecting nodes, offering huge time savings – one study found Dynamo could “save over 90% of time” on batch tasks like generating sheets or mass tagging (archilabs.ai). Similarly, pyRevit (an open-source Revit add-in for Python scripting) became popular for speeding up repetitive work (archilabs.ai). These traditional automation tools proved almost any Revit chore could be scripted away. But they also demand technical skill and upkeep: Dynamo graphs often turn into complex “spaghetti” networks that break with updates (archilabs.ai), and writing Python requires expertise that many design professionals lack (archilabs.ai).

Enter the new era of AI assistants for Revit. Instead of hand-coding scripts or wiring up nodes, what if you could simply tell Revit what to do in plain English? Recent advances in artificial intelligence have made this possible. Just as ChatGPT showed we can converse with AI to get answers, now AI copilots for Revit let us chat with our BIM software to get work done. Two notable players leading this revolution are ArchiLabs and Pele AI, each offering a kind of “ChatGPT for Revit” that aims to streamline BIM workflows through natural language. In this post, we’ll compare ArchiLabs and Pele AI to see how these AI-powered assistants stack up and how they can help AEC teams automate the grind and focus on design.

ArchiLabs: Your AI-Powered Co-Pilot for Revit

ArchiLabs is an AI-driven automation platform that acts like a smart co-pilot living inside Autodesk Revit (archilabs.ai). This Y Combinator-backed startup was built by AEC industry veterans to tackle the tedious 80% of BIM work that eats up time – things like sheet setup, view creation, tagging, and data entry (archilabs.ai). ArchiLabs positions itself as an “AI co-pilot for architects” that can help users “10× their design speed with simple AI prompts.” (archilabs.ai) In practice, it’s a Revit add-in that listens to your instructions (via a chat-style command interface) and executes those steps directly in your model (archilabs.ai). Think of it as having a Revit power-user at your side: you describe what you need, and ArchiLabs figures out how to do it through the Revit API – no coding or Dynamo graphs required (archilabs.ai).

Ease of use through natural language. With ArchiLabs, automating tasks is as easy as typing a request. For example, you can simply ask: “Generate a new sheet for each level, place all floor plan views on the sheets, then tag all rooms and add dimensions to each plan.” In one go, ArchiLabs will interpret that high-level instruction and carry out a multi-step process to fulfill it (archilabs.ai). It creates the sheets, places the correct views, adds room tags, and applies dimension strings – all in minutes, with perfect consistency. A task that might take half a day of manual work is done before you can finish a coffee refill (archilabs.ai). The AI understands your intent and handles the heavy lifting behind the scenes (archilabs.ai) (archilabs.ai). This means even complex workflows can be triggered with one prompt, without you painstakingly specifying every parameter.

From visual workflows to AI “Agent Mode.” Notably, ArchiLabs originally offered a visual drag-and-drop workflow editor (reminiscent of Dynamo’s node canvas) to build custom routines (archilabs.ai) (archilabs.ai). Now, the platform has evolved to focus on an even more intuitive, prompt-driven approach. Its flagship feature is the Agent Mode, which essentially turns ArchiLabs into a conversational BIM assistant (archilabs.ai). In Agent Mode, you can have a back-and-forth dialogue with Revit: ArchiLabs not only executes your direct commands, but can also answer questions about your project and take follow-up actions based on your conversation (archilabs.ai). For instance, you might ask, “Are there any untagged rooms in this model?” The AI will quickly scan your BIM data and reply, “There are 5 untagged rooms.” You can then respond, “Okay, tag those rooms for me,” and ArchiLabs will instantly place the room tags where they belong (archilabs.ai). This is a game-changer – it feels like talking to Revit itself. You query for information and then say what you want done, and the AI co-pilot handles both retrieving the answer and performing the task. ArchiLabs’ Agent Mode blurs the line between getting insights and getting work done, all through a fluid natural conversation.

Rich UI and custom plugin creation. Under the hood, ArchiLabs is orchestrating Revit API calls, Dynamo-like logic, and its own AI models to fulfill your requests (archilabs.ai) – but as a user you’re shielded from that complexity. What you see is a friendly chat interface, sometimes supplemented by dialogs or forms for additional inputs. In fact, one of ArchiLabs’ superpowers is its ability to generate rich web-based UI panels directly inside Revit as part of the tools it creates (archilabs.ai). If a command would benefit from a custom interface – say, a room renumbering tool that needs you to review a list or select options – ArchiLabs can pop up a polished panel with checkboxes, dropdowns, grids, and more, right within Revit. These modern interactive panels (built on web technology) provide a far better user experience than the spartan default Revit dialogs (archilabs.ai). In essence, ArchiLabs isn’t just running single-line commands – it can build full-fledged internal plugins on-the-fly for your firm. The add-in can spin up purpose-built mini-apps with professional UI, tailored to your needs, without you writing a single line of code (archilabs.ai). This capability to deliver rich, custom Revit tools via AI is a major differentiator. It means ArchiLabs can act as both the tool-builder and the tool-runner within one platform, letting your team develop internal plugins and automations faster than ever.

AEC domain intelligence and focus. Because ArchiLabs is focused exclusively on Revit, it comes pre-loaded with knowledge of AEC best practices and Revit-specific context (archilabs.ai). The AI has been trained with architectural/engineering know-how, so it makes smart default decisions. For example, ArchiLabs knows how to avoid overlapping tags and which tagging families or dimension styles are standard, without needing you to spell out every detail (archilabs.ai). It’s like an experienced BIM manager is embedded in the tool, ensuring that automated outputs align with industry norms. This focus on Revit also means ArchiLabs stays tightly integrated with Revit’s evolving features – the platform handles version compatibility behind the scenes, reducing the “script breaks after update” problem that plagues many Dynamo graphs (archilabs.ai). The team behind ArchiLabs comes from architecture and engineering, which shows in the platform’s design and the tasks it excels at. Out-of-the-box, ArchiLabs includes a library of pre-built automation routines for common pain points – sheet creation, view setup, tagging, dimensioning, renumbering, and so on (archilabs.ai). You can trigger these instantly via natural language or customize them to your standards. The overall goal is to eliminate the grunt work that highly trained design professionals often find themselves stuck with, thereby freeing up more time for creative and high-value work (apps.autodesk.com).

Collaboration and scalability. For BIM managers looking to standardize workflows, ArchiLabs offers an easy way to share automations across the team. Any automation or custom tool you create through ArchiLabs can be saved and distributed within your organization with a few clicks (archilabs.ai). If one savvy BIM specialist sets up a great routine (for example, a sequence to generate all required drawing sheets and print them to PDF in one command), they can share it via ArchiLabs so that everyone else on the team can use it as well (archilabs.ai). Colleagues can then invoke that workflow by name or through a simple prompt, without each person needing to reinvent the wheel or manage separate add-ins. This centralized AI assistant approach means the firm’s collective automation knowledge lives in one place and is easily accessible to all, rather than hidden away in one Dynamo expert’s head or scattered across individual scripts. ArchiLabs essentially democratizes Revit automation – if you know what you want done, you can get it done (and help others do the same) just by describing it. For a busy practice, this translates to faster project delivery, fewer errors, and less burnout on the boring stuff (archilabs.ai) (archilabs.ai).

Pele AI: A Chat-Based BIM Assistant for Revit

While ArchiLabs provides an all-in-one automation co-pilot, Pele AI introduces a more focused but similarly powerful concept: a natural-language AI assistant dedicated to Revit. Pele AI is a Revit add-in designed to simplify and speed up repetitive tasks through plain English prompts (aecmag.com). Instead of digging through menus or writing macros, you can ask Pele to handle things like “Tag all the doors in this view,” “Generate 3D views for each level,” or “Organize my sheets by discipline.” The plugin interprets your request, determines the necessary steps, and then executes those actions inside Revit automatically (aecmag.com). The goal is to let architects and engineers work more intuitively – you tell Revit what you need, and Pele AI figures out how to do it behind the scenes.

Automating everyday Revit chores. According to an AEC Magazine report, “Pele AI is a new AI BIM assistant for Revit designed to simplify, automate and streamline manual tasks such as tagging elements, generating views, organising sheets or graphically modifying elements.” (aecmag.com) In other words, it targets the same kind of tedious chores that BIM teams often wish they could offload. Need to batch-tag every room or equipment family in your model? Pele can do it in seconds. Want to create all the dependent floor plan views for each level of a building? Just ask the assistant, rather than clicking through dialogues for each view. The add-in works with Revit versions 2021 through 2026, integrating seamlessly into the Revit environment (apps.autodesk.com). Once installed, it typically lives in the Revit toolbar, ready to accept your commands.

Natural language interface and feedback. Pele AI’s interface is essentially a chat or prompt box where you type requests in normal language (aecmag.com). You don’t need to use any coding syntax or know the Revit API – simply describe the task as if you were instructing a junior assistant. The software then analyzes your prompt, breaks it down into actionable steps, and carries them out via the Revit API (aecmag.com). For example, if you type “Apply consistent dimensions to all wall layouts in this plan,” Pele will parse that intent, figure out which walls and views you likely mean, and add the dimensions accordingly. If a command is unclear or too complex to interpret in one go, Pele doesn’t give up – it will either reattempt the instruction or provide a gentle nudge to refine your input (aecmag.com). This is helpful for new users learning how to phrase requests. In fact, a recent update to Pele AI even introduced an “Improve Prompt” feature: at the click of a button, the AI will suggest a clearer or more precise way to word your request if it seems you’re having trouble describing it (apps.autodesk.com). This kind of guided feedback lowers the learning curve and helps users get results faster.

Focusing on productivity. The value proposition of Pele AI is straightforward: it saves you time by taking mundane work off your plate (apps.autodesk.com). By automating repetitive tasks, it lets architects and engineers focus on more creative and high-value aspects of their projects. In effect, Pele acts like a digital BIM assistant project teams can rely on for the grunt work. Early users report significant efficiency gains – hours spent on annotating drawings or setting up views can drop to minutes. And because the AI executes tasks with machine consistency, firms also see more uniform results (fewer missed tags or mis-numbered views compared to manual work). Pele emphasizes a few key benefits in its documentation: time-saving efficiency for routine chores, more consistent outputs, and allowing professionals to redirect their time to design and problem-solving rather than rote operations (apps.autodesk.com) (apps.autodesk.com). It’s very much in line with the industry’s broader goal of working smarter, not harder, by leveraging technology.

Usage and availability. Getting started with Pele AI is relatively easy. The plugin is available via the Autodesk App Store and the developer’s website, and it supports a free trial mode for new users (apps.autodesk.com). The trial (the “Free bundle”) lets you run a limited number of prompts in Revit to experience the assistant in action (apps.autodesk.com). After that, if you find it useful, the service operates on a credit or bundle system – you purchase prompt bundles that grant a certain number of AI executions via the add-in (apps.autodesk.com). This model is a bit different from typical software subscriptions; it’s akin to buying packs of queries. For instance, one published example noted a 500-prompt bundle for around $40 (www.bina-i.com). This usage-based approach might appeal to individuals or small teams who want to dip their toes into AI assistance for specific tasks without a large upfront cost. Larger firms, on the other hand, might negotiate enterprise arrangements for broader use. In any case, Pele AI’s availability through the official Revit app ecosystem and its try-before-you-buy option make it an accessible entry point for anyone curious about AI in their BIM workflow.

Feature Face-Off: How Do ArchiLabs and Pele AI Compare?

Both ArchiLabs and Pele AI share a common vision: make Revit work faster and easier by using AI to handle the drudge work. They usher in a new paradigm where you can automate tasks by simply talking to your BIM software. That said, there are some key differences in their capabilities and approach. Let’s break down how these two AI assistants stack up on important factors for BIM managers and design teams:

Natural Language Command Capabilities

Ease of use: Both solutions put natural language front and center as the user interface, drastically lowering the barrier to automation. In both ArchiLabs and Pele, you don’t need programming knowledge – you issue commands in plain English and the tool interprets your intent. This is a huge shift from having to wire up logic in Dynamo or write Python scripts (archilabs.ai). For everyday Revit users, being able to “just ask” for what you need is a massive productivity boost.

Conversational context: ArchiLabs’ Agent Mode offers a true conversational experience with multi-turn dialogue (archilabs.ai). You can ask a question about the model, get an answer, and follow up with an action – all in sequence, within the same context. The AI remembers the context of your query (e.g. which rooms were untagged) and acts on your follow-up request accordingly. Pele AI is also intuitive to command, but it functions more like a one-turn prompt executor. It excels at understanding a single instruction and carrying it out, and it will prompt you to rephrase if needed, but it doesn’t yet advertise the kind of interactive Q&A and follow-on action that ArchiLabs supports. In short, ArchiLabs behaves like a Revit-savvy chat companion, whereas Pele acts as a responsive task engine – both are powerful, but ArchiLabs may feel more like a conversation with your BIM model.

Error handling and guidance: When a request is ambiguous, Pele AI tries to clarify by suggesting improvements to your prompt (apps.autodesk.com) or asking for refinement (aecmag.com). This is great for guiding users to successful outcomes (especially if you’re not sure how to ask for what you want). ArchiLabs, on the other hand, leverages its AI to fill in gaps intelligently. It’s designed to infer what you likely mean, even if your prompt isn’t extremely detailed (archilabs.ai) (archilabs.ai). For example, telling ArchiLabs “Tag all doors in the project” is understood globally – the AI will figure out which views and door elements make sense to tag, without you specifying each view (archilabs.ai) (archilabs.ai). In many cases ArchiLabs won’t need as much back-and-forth to interpret a high-level command, because its built-in AEC knowledge guides it to “do the right thing” by default (archilabs.ai). Both approaches improve usability compared to traditional coding, but ArchiLabs aims to minimize how often you even need to think about how to phrase a task.

Scope of Automation and Intelligence

Range of tasks: Both platforms cover a broad range of BIM automation use cases. Out of the box, Pele AI highlights tasks like tagging elements, generating views, organizing sheets, and even graphical modifications of model elements (aecmag.com). These align closely with common BIM manager pain points – essentially the repetitive, standardized tasks that every project requires. ArchiLabs addresses the very same pain points (sheet creation, view setup, tagging, dimensioning, renumbering, etc.) and really any process that the Revit API exposes (archilabs.ai) (archilabs.ai). In fact, because ArchiLabs operates on top of Revit’s API similar to Dynamo or pyRevit scripts, it can handle virtually any operation you could program manually (archilabs.ai). The difference is you’re instructing an AI instead of writing code. Both tools are continually expanding their capabilities, but as of now, you can expect either assistant to help with day-to-day BIM production tasks that used to be done by hand or with custom scripts.

AI “smarts”: One area where ArchiLabs potentially edges ahead is in its domain-specific intelligence. The platform’s creators have baked in architectural knowledge (families, standards, typical workflows), and the AI’s ability to answer questions about the model indicates a higher level of understanding of the BIM data (archilabs.ai). For example, ArchiLabs can instantly report “the total door count on Level 2” if you ask, or “find all views that have no annotations”, and then act on those findings (archilabs.ai) (archilabs.ai). This implies a deeper integration where the assistant not only executes tasks but also analyzes model information on the fly. Pele AI is primarily described in terms of executing tasks, and while it certainly must parse the model to do things (it can’t tag doors or create views without understanding the model state), the emphasis is more on doing than on reporting. In practical terms, if you need a conversational partner to query your BIM model and then automate based on the answers, ArchiLabs is currently showcasing that capability. If your needs are mostly direct task automation (“do X in the model now”), both tools are very capable.

Performance and reliability: Both ArchiLabs and Pele AI aim to produce consistent, reliable results once a command is understood. One of the selling points of Pele is that it provides predictable outputs and consistent performance, turning tedious multi-step procedures into one-click (or one-prompt) actions every time (apps.autodesk.com). ArchiLabs similarly focuses on consistency – by removing manual steps, it eliminates the human errors that often come with mind-numbing tasks (archilabs.ai) (archilabs.ai). From a BIM manager’s perspective, the reduction in mistakes (like a missed tag or mis-numbered sheet) is as valuable as the time savings. Neither tool is 100% foolproof – complex models and unusual scenarios can stump any automation – but the advantage of AI is that it can often handle slight variations in requirements more flexibly than a rigid script. Both assistants will improve over time as they learn from more usage, but right now they’re already proving to be reliable workhorses for routine BIM duties.

Customization, Integration and Team Deployment

Internal tool building: If your goal is not just to automate tasks, but to build bespoke internal plugins and custom tools for your team, ArchiLabs is tailored for that. It truly shines as a platform for developing and deploying your own automation routines without coding. Because ArchiLabs can create rich UI panels and multi-step workflows on-the-fly (archilabs.ai), you can use it to develop specialized tools unique to your firm’s needs. For example, you might design an internal “hotel room layout generator” or a “quality check dashboard” through ArchiLabs by describing the logic, and the AI will assemble the components and present it with a user-friendly interface. These custom tools can then be saved, reused, and even shared with colleagues instantly (archilabs.ai). In effect, ArchiLabs doesn’t just replace tools like Dynamo and pyRevit for automating tasks – it replaces them as a development environment for creating new BIM tools. This is why it’s often described as an AI-powered Dynamo/pyRevit replacement for modern workflows. You get the power of a coding platform, but the ease of a conversational assistant.

Extensibility: Pele AI, in contrast, is positioned more as a ready-to-go assistant. It’s extremely useful within its scope, but it doesn’t advertise a framework for building entirely new custom commands beyond what its AI can interpret from natural language. You can certainly script creative things by phrasing a prompt cleverly, but Pele doesn’t explicitly let you design a custom UI or chain a tool that can be invoked later by name. It’s more of an on-demand helper living inside Revit, rather than a toolkit for developing new features. If you require a high level of customization or want to codify a complex company-specific process into a tool, you might lean towards ArchiLabs for that flexibility. On the other hand, if you prefer a simpler deployment where everyone just uses one AI assistant with pre-built abilities, Pele’s straightforward approach can deliver value without much configuration.

Integration and focus: Both tools integrate directly within Revit’s interface as add-ins, so in terms of user experience, they feel like part of the BIM environment. ArchiLabs’ strategy of focusing solely on Revit (at least for now) means it’s deeply woven into Revit’s workflow and UI (archilabs.ai). It can, for instance, tie into things like the Revit ribbon or context menus to launch certain automations, and it handles version updates in the cloud so that your commands keep working across Revit 2023, 2024, 2025, etc. Pele AI also supports multiple Revit versions out of the box (apps.autodesk.com) and presumably will keep pace with new releases (given its 2021–2026 range currently). Neither tool works outside of Revit – these are not standalone apps but in-application assistants, which is exactly where you want them as a BIM manager. It’s worth noting ArchiLabs’ exclusive focus has allowed it to tune itself very finely to Revit users’ needs (like understanding “walls” vs “walls in a linked model” contextually). Pele AI, developed by an external team, is similarly targeted at Revit but might have a broader vision down the line. At present, if you use Revit as your primary BIM platform, both are compatible and integrate smoothly. If you were hoping for AI assistance in other AEC software (like Archicad, Navisworks, etc.), those are outside the scope of both ArchiLabs and Pele as of this writing – they are firmly Revit-centric solutions, which makes sense given Revit’s dominance in the industry.

Team deployment: Deployment models differ slightly. ArchiLabs is typically offered as a subscription service (with pricing designed for professional teams), and since it includes sharing features, it’s well-suited to firm-wide rollouts. A BIM manager can onboard ArchiLabs for the office and then curate which automations are available to everyone, fostering a shared library of “BIM skills” accessible via AI. Pele AI’s prompt bundle model (pay-as-you-go for usage) might be more attractive for individual power users or small teams that want to augment their workflow on a project basis. Large organizations might find managing prompt credits less convenient than a flat subscription, but that could evolve as Pele matures (they may introduce enterprise plans or unlimited tiers). In any case, both tools are relatively lightweight to install and manage compared to traditional software. They don’t require complex server setups or IT overhead – you install the add-in, connect it to the internet for AI processing, and you’re off and running. From an IT perspective, verifying these tools for company use mostly involves checking that cloud AI services (e.g., OpenAI or other models) comply with any data policies, since the tools will send model data to AI engines to generate results. Firms concerned with data should review how each assistant handles model information (e.g. anonymization, scopes of data sent) – though those details are beyond our scope here, it’s a standard due diligence step when adopting any AI SaaS for design.

Which AI Assistant Should You Choose?

Deciding between ArchiLabs and Pele AI will depend on your team’s needs and how you intend to use an AI assistant in Revit. Both are innovative tools that can dramatically reduce the time spent on mind-numbing BIM tasks, but there are clear distinctions:

• Use Case and Depth: If you’re looking for a comprehensive AI co-pilot that not only automates tasks on command but also lets you build out an internal ecosystem of custom BIM tools, ArchiLabs is likely the better fit. It’s built for power and flexibility – acting as an AI-powered development and execution platform in one. ArchiLabs can evolve with your workflow, allowing you to capture and reuse sophisticated processes across projects. On the other hand, if you primarily want a quick assistant to handle repetitive chores and you’re okay with a more out-of-the-box solution, Pele AI will start delivering value on day one. It shines in its simplicity: install it, type a command, and watch Revit do the boring stuff for you.
• Team Collaboration: For a BIM manager overseeing many users, consider how you’ll spread and standardize the AI’s usage. ArchiLabs makes it easy to share workflows and promote firm-wide standards through its platform (archilabs.ai). It’s an agent that everyone can tap into with a unified set of capabilities defined by your best practices. Pele AI can certainly be used by multiple team members as well, but it doesn’t (yet) provide a built-in sharing library – each user largely interacts with it individually. That said, even used in isolation, Pele can enforce consistency simply because everyone asking it to “tag rooms” will get tags placed in a systematic way (as defined by the tool’s logic). ArchiLabs just goes a step further by letting you codify specific company protocols (like naming conventions or documentation standards) into the AI’s toolbox for all to use.
• Learning Curve: Both tools are far easier to learn than coding or visual scripting. ArchiLabs, with its conversational agent and intelligent defaults, tries to anticipate user needs and minimize input required (archilabs.ai) (archilabs.ai). Pele’s prompt improvement suggestions, meanwhile, help guide users to phrase things effectively (apps.autodesk.com). In practice, most users will get comfortable with whichever tool they use through a bit of experimentation. There might be a slight mindset shift if you’re coming from manual work – learning to trust the AI and understanding what kinds of instructions it can handle. ArchiLabs might feel more familiar to those who have dabbled in Dynamo or pyRevit, because it can expose some workflow structure (optional visual feedback on what it’s doing) and offers that canvas for those who want it. Pele AI will feel intuitive to anyone who has used a chatbot or voice assistant, focusing purely on the command-response interaction. Neither requires more than basic training to start seeing benefits.
• Support and Evolution: As AI in AEC is a fast-moving field, consider the trajectory of each platform. ArchiLabs, being backed by a YC company and industry experts, is likely to push the envelope on integrating more AI capabilities (we’ve already seen them add Agent Mode and web UIs, which hint at even smarter automation to come). Pele AI is one of the early entrants in the “ChatGPT for Revit” space and has shown rapid iteration (adding features like the prompt history panel and improved prompt suggestions in recent versions (apps.autodesk.com)). It’s worth keeping an eye on both – they will undoubtedly inspire each other and new entrants, meaning Revit users stand to gain even more powerful tools over time.

In the end, both ArchiLabs and Pele AI can transform how you work in Revit. They represent a shift from programming Revit to simply telling Revit what to do. For BIM managers, this is a huge opportunity: it means less time firefighting documentation grunt-work and more time ensuring quality and pushing design innovation. Architects and engineers can spend more energy on creative problem-solving instead of repetitive modeling tasks. If your team is ready to embrace the future of BIM automation, adopting an AI assistant – be it ArchiLabs’ all-in-one co-pilot or Pele’s on-demand prompt helper – will likely pay off in faster workflows and happier staff.

Conclusion

The AI assistant revolution in AEC is just getting started, and ArchiLabs and Pele AI are at the forefront of bringing that revolution to Autodesk Revit. They cater to a real need in the industry: making our BIM software smarter and our work lives easier. By removing tedious manual steps, these tools enable “working smarter, not harder” to finally become a reality in day-to-day practice.

For firms already invested in Dynamo scripts or pyRevit macros, tools like ArchiLabs and Pele offer a glimpse of the next generation – one where automation is accessible to all, not just the tech-savvy. The choice between them comes down to the level of customization and collaboration you need. ArchiLabs delivers a rich, AI-powered platform for building and sharing robust Revit automations (it’s basically an AI upgrade to your Dynamo/pyRevit toolkit). Pele AI provides an immediate productivity boost by acting as a convenient AI helper that executes your commands and cuts out mindless tasks. Both can dramatically improve efficiency on projects large and small.

In the “ArchiLabs vs. Pele AI” matchup, the real winner is ultimately the end-user. BIM managers can automate project setup and quality control routines in minutes. Architects can generate drawings or data from the model just by asking. Engineers can offload repetitive calculations or annotations. The hours saved add up to significant cost savings and allow professionals to focus on what they do best – designing excellent buildings and infrastructure.

As AI continues to evolve, we can expect even more advanced capabilities from these assistants (and new ones on the horizon). But even today, implementing an AI co-pilot like ArchiLabs or Pele AI in your Revit workflow is a game-changer. It’s not often that a technology comes along that can give you time back in your day while also improving accuracy and consistency. This is one of those moments for the AEC industry. Whether you choose the comprehensive ArchiLabs platform or the streamlined Pele AI plugin (or even a combination of solutions), you’ll be joining early adopters in reimagining how we interact with BIM software. The era of chatting with Revit and automating work at the speed of thought is here – and it’s poised to elevate BIM practice to new heights (archilabs.ai). So go ahead and have that conversation with your model – you might be surprised just how much a little AI assistant can do.