AI Foundations: Intermediate special Claude Cowork/Skills session with Helen
- Date
- 2026-03-18
- Host
- Women Defining AI: Community Calendar
About this event
If you already know the basics of AI tools and want to get more fluent, faster, this session is built for that next step. AI Foundations: Intermediate special Claude Cowork/Skills session with Helen is an in-person working session designed to help you move beyond simple prompting and into more capable, practical use of AI in a supportive community setting. This is not a passive lecture and it is not a broad beginner introduction. It is a focused, intermediate-level space for people who want to sharpen how they use AI, learn alongside others, and leave with clearer skills they can apply right away. About the Event This session brings together three things that work especially well in person: guided skill-building, coworking energy, and peer learning. The focus is on Claude in an intermediate context, with an emphasis on hands-on practice rather than just theory. If you have already experimented with AI and are ready to become more intentional and effective, this format will feel useful. Because this is described as a special Claude Cowork/Skills session with Helen, you can expect a blend of structured learning and practical doing. That means time spent understanding better ways to work with AI, plus time to apply those approaches live while surrounded by other people who are also actively building their capability. The event also sits at the intersection of AI, autonomy, community, and networking. That combination matters. It suggests a session that is not only about what the tool can do, but also about helping you become more self-sufficient in how you use it, while learning from a room of people asking similar questions and solving similar problems. What to Expect Expect an experience that is interactive, skill-focused, and grounded in real use. Rather than staying at the level of abstract concepts, the session is likely to center on how to work more effectively with Claude in ways that support better outputs, stronger workflows, and more confident decision-making when using AI. You should be ready for a format that may include: A practical framing of the session goals and what “intermediate” means in this context Guided instruction from Helen to help participants build stronger habits and techniques Coworking time where you can apply ideas immediately instead of waiting until later Peer interaction that lets you compare approaches, learn what is working for others, and ask sharper questions Informal networking with people interested in AI capability, low-code ways of working, and autonomy in practice The cowork element is especially valuable because it changes the pace of learning. Instead of hearing advice and hoping you remember it later, you get to test it in the room. That immediate feedback loop often makes the difference between “I understand the idea” and “I can actually use this well.” Because the session is tagged level-ai-intermediate-low-code, attendees should expect a practical orientation that does not require deep technical specialization. This is a strong fit for people who want more power and precision from AI without needing to approach it like a full-time engineer. Why Attend If you are in the messy middle of AI adoption, this session can help you make progress. Many people get past the initial excitement of using AI tools, then hit a plateau: they know the basics, but their results feel inconsistent, shallow, or overly dependent on trial and error. An intermediate session like this is where you start building repeatable skill. You are likely to get the most value if you want to improve not just what AI produces, but how you work with it. That includes refining your thinking, structuring requests more clearly, recognizing where AI is genuinely useful, and developing better judgment about when to iterate, redirect, or stop. Attending in person also gives you access to something online resources rarely provide well: shared context. You can see how other people approach similar tasks, ask questions in the moment, and learn from live examples instead of isolated tutorials. That makes it easier to turn fragmented knowledge into practical competence. You may leave with: A clearer sense of how to use Claude more effectively at an intermediate level Better habits for collaborative, low-code AI work More confidence in applying AI to real tasks instead of one-off experiments Useful conversations and connections with others working in the same space Momentum to continue building autonomy in your day-to-day use of AI Practical Details This is an in-person event taking place on Wednesday, March 18 at 10:00 AM PDT. If you value focused attention, spontaneous conversation, and the accountability that comes from working alongside other people, the in-person format is a real advantage. Since the session is positioned as a cowork and skills event, it is a good idea to arrive ready to participate actively. Come prepared to engage, take notes, and work through ideas in real time rather than expecting a purely observational experience. A few practical ways to prepare: Bring the mindset of someone ready to practice, not just listen Be prepared to discuss how you are currently using AI and where you feel stuck Expect a room with people who already have some familiarity with AI and want to level up Plan for conversation as well as individual focus time If you have been looking for a more grounded way to improve your AI capability, this session offers a strong combination of structure, practice, and community. It is especially well suited to people who want to become more capable with AI in a way that feels applied, collaborative, and immediately useful.
Who should attend
This session is for people who have already started using AI and are ready to become more capable, consistent, and intentional in how they work with it. - You’ve moved past the absolute basics and want an **intermediate-level** session that helps you deepen your real-world AI skills. - You use or want to use **Claude** more effectively and would benefit from guided practice instead of trying to figure everything out alone. - You are interested in **low-code ways of working** and want stronger results without needing a deeply technical background. - You learn best by doing, and the idea of an **in-person coworking format** with space to apply ideas immediately sounds more useful than a standard talk. - You care about **autonomy** in your workflow and want to build habits that make AI a more reliable part of how you think, create, or solve problems. - You’d like to meet others in the **AI and community** space who are also actively building skill, experimenting, and sharing what works. If you are completely new to AI, this may feel a bit advanced. But if you already have some hands-on experience and want to sharpen it in a supportive room, you are likely in exactly the right place.