Lab49

Lab49's Brian Wm. McAllister will be attending the FIA, Inc. Futures & Options Expo. Drop by the BSO booth to learn more about the exciting work we're doing!

The most powerful AI systems won't think like humans; they will act like them. These so-called ‘AI agents’ execute tasks currently being done by people. AI agents are the new frontier in automation, moving beyond simple chatbots to execute sophisticated workflows with human-like judgment. The way that these agents work is both simple and complex. Here's the gist: • Write instructions in plain English. No coding required. • The AI framework plans the work, breaking it into tasks. • Specialized sub-agents tackle different parts of the job. • The system constantly refines outputs, asking for human input as needed. • Finally, it automatically executes the requested actions. Think of it like having a hyper-efficient, hyper-specialized virtual team at your disposal. Each agent has its own role and set of skills, but they collaborate seamlessly to get the job done. The true game changer is that these systems can handle the messy, unpredictable nature of real-world tasks. They're not limited to linear workflows. Instead, they adapt to twists and turns, making judgment-driven decisions honed by advanced language models. There are use cases across industries - take software engineering for example. Updating legacy internal systems is a notorious headache for developers. AI agents could analyze old code, document business logic, and even help translate it into modern languages. Technology is all about making previously daunting projects feasible and this should be able to address a large percentage of the $1.8 trillion in lost productivity in the U.S. The efficiency gains are potentially staggering. We're talking about AI handling tasks that currently dampen entire job functions – onboarding, compliance analysis, sales development, customer service, and more. For businesses, this means unprecedented scalability, because AI agents are infinitely easier to "hire" than humans. It will also lead to role redefinement, because agents can handle the ‘kill-joy’ administrative firefighting that most corporate jobs require. My favorite part: we're still in the early days. Most of the real, application-level breakthroughs are yet to come. If you're an executive, now's the time to reimagine cumbersome business processes and empower teams with tools for greater efficiency and decision-making. If you're an entrepreneur, there's a massive opportunity wherever you see a concentration of repetitive, deterministic workflows. The companies that fully productize these AI workflows, making it effective for a wide range of use cases, will be the ones reshaping entire industries. 

We're all about recognizing our phenomenal people at Lab - Congratulations to our team members who have stepped up to new roles in 2024! 🎉 Gergely, István and Mark - well done! 👏

🚀 New Webinar Alert for Quality Engineering Teams! 🚀 We're thrilled to present an in-depth session with Rohit Vatta, Head of Quality Engineering at Lab49, exploring transformative strategies to boost speed, elevate productivity, and refine frameworks in your automation journey. https://lnkd.in/eSnPa6jc

“What Claude gets really right is the flawless execution and whiz-bang factor of its integration... Claude’s capabilities right now offer an enticing alternative to manual data analysis for a full array of use cases"- Yiannis Antoniou, Head of Data, Analytics, and AI. Lab49's Yiannis Antoniou offered his insights on Anthropic's Claude's data analysis capabilities and its market position compared to competitors such as Chat GPT. Read MES Computing's article below to learn about the '5 Things to Know' about Anthropic's latest upgrades to Claude. #AI #Anthropic #Claude

“Anthropic’s choice of the term ‘computer use’ instead of ‘agents’ makes this technology more approachable to regular users”, Yiannis Antoniou, Head of Data, Analytics, and AI   Lab49's Yiannis Antoniou was recently quoted in Fiona Jackson's article for TechRepublic on Anthropic's major upgrade of Claude 3.5 Sonnet.   The upgraded Claude 3.5 Sonnet lays the groundwork for everyday users to give natural language commands to AI, offering a glimpse of a future where users can delegate computer tasks to AI through simple conversational commands. In Fiona’s article, Yiannis shares key insights into what these updates mean for AI adoption.   #AI #Anthropic #Claude

A demonstration of the flexibility gained by adopting a headless design system. In this example we built an application which has an externally defined design system. We then illustrate a progression in the design system by making changes to colors, spacing and border radii. We then rebuild the asset generation task. Without making any changes to the application code, we can observe it adopting the new values of the design system. - Part 1: https://lnkd.in/eUvFNYng - Part 2: https://lnkd.in/eXbUA3aS - Part 3: https://lnkd.in/eBm4XCpi

Figma's variables can be exported into a standardized design token JSON format. This gives us a portable data format that can be used as input for a number of build systems. This yields the capability of injecting branding values at build time, helping maintain a collection of applications in sync with a design system. No branding values are directly placed in any of the organization's applications. This simplifies style authoring and helps keep the applications in sync automatically. - Part 1: https://lnkd.in/eUvFNYng - Part 2: https://lnkd.in/eXbUA3aS - Part 4: https://lnkd.in/emymRQBA

Figma's variables can be exported into a standardized design token JSON format. This gives us a portable data format that can be used as input for a number of build systems. This format is tech-stack and platform neutral. This flexibility lets us use it as input to many potential build systems. - Part 1: https://lnkd.in/eUvFNYng - Part 3: https://lnkd.in/eBm4XCpi - Part 4: https://lnkd.in/emymRQBA

Headless design systems are a great way to abstract branding out of style authoring. This can be a great tool that helps shift left the responsibility of maintaining branding guidelines to product and design teams. Figma's variables are a great way to define design tokens that help keep wireframes consistent. The are also used to produce build system input to propagate branding across a collection of applications without having to touch application code. - Part 2: https://lnkd.in/eXbUA3aS - Part 3: https://lnkd.in/eBm4XCpi - Part 4: https://lnkd.in/emymRQBA