What are you building with AI?

⌖ Bangkok · FlowAccount Co., Ltd.

Hosted by FlowAccount

Discover how AI can simplify accounting and business operations at FlowAccount Meetup 3, held in Bangkok on 16 October 2026. Designed for SME owners, developers and people already experienced with AI and automation, this in-person meetup explores practical ways to connect ChatGPT and Claude with FlowAccount. What to expect The session includes a live demonstration of connecting AI models to FlowAccount through MCP (Model Context Protocol). Attendees will see how this setup can help them: - Automate accounting and business-management tasks - Query financial information and uncover useful insights - Turn complex accounting processes into simpler AI-assisted workflows - Learn from real-world implementation examples shared by experts No detailed speaker list or session-by-session agenda has been published. Event details - Date: Friday, 16 October 2026 - Time: 6:00–8:30pm (GMT+7) - Venue: FlowAccount Office, Sakulthai Surawong Tower, Bangkok (map) - Price: Free Registration is currently closed. Attendance was limited to people whose advance registration had been confirmed, and the venue has limited capacity. Check the event page for registration updates or contact the host.

ChatGPTClaudeMMCP

⌖ Cardiff · NatWest Accelerator

Hosted by AI Wales

Build an AI prototype for better UK insurance research at this one-day hackathon in Cardiff on 20 October 2026. Consumers increasingly ask tools such as ChatGPT about insurance before approaching a broker, insurer or comparison site. Those answers can sound convincing while being outdated, based on the US market or shaped by a poorly framed prompt. Hosted by AI Wales, this practical hackathon invites participants to explore how AI could provide more accurate, useful and trustworthy insurance information. The challenge Based on findings from the Future Finance Research Sprint, teams can tackle one or more of three core problems: - Answer quality often depends on how a consumer prompts the LLM. - LLMs may lack current, accurate and UK-specific insurance information. - Consumers can arrive at insurers and comparison sites with assumptions already shaped by AI. Your concept might help people ask better questions, assess the answers they receive, identify gaps in their understanding or make a more effective handover to a broker, insurer or comparison service. Solutions should work with AI tools people already use, protect consumer privacy and avoid crossing into regulated financial advice. Participants can review the full challenge brief before the event. What you’ll build The goal is either a working prototype or a strong concept with the potential to make a real difference for consumers. Attendees can use Lovable to turn an idea into an app, with 100 free credits supplied to every participant, including solo entrants. Sign-up details for the credits will be shared on the day. No development or insurance expertise is required. The event is designed for mixed teams of developers, designers, product professionals, insurance and finance specialists, students and anyone curious about AI. Enter alone, bring a team of up to four or find collaborators at the venue. View the event and registration details

LovableChatGPT

Sponsors: Future Finance · FinTech Wales +2

◎ Online

Hosted by AI Strategy Lab - Manchester

Build a Personal AI DNA file in this 45-minute online workshop and make ChatGPT, Claude, Copilot or Gemini produce writing that sounds like you. Hosted by Emery Layton for AI Strategy Lab – Manchester, this practical session takes place on Thursday 22 October 2026. It tackles a familiar problem for business owners and independent professionals: AI can produce polished copy, but the result often feels generic, anonymous and time-consuming to edit. Rather than treating this as a prompting failure, Emery frames it as an onboarding problem. During the workshop, you will create a Personal AI DNA file: a single page of plain text that gives an AI essential context about who you are, who you serve, how you communicate and what you would never say. What you’ll cover The session combines accessible AI strategy with a live, hands-on build. Topics include: - What AI is in plain language, and what it cannot do - Three current news developments that matter to business owners - Where AI tools are heading and what remains constant as they change - Why AI-generated writing often feels generic - The six components of a Personal AI DNA file, illustrated with examples - A four-minute method for capturing your writing voice - A live build in which Emery writes his file while you create yours - A side-by-side test using the same request with and without your DNA file You can use a free account for ChatGPT, Claude, Copilot or Gemini. No paid plan or specialist software is required; a laptop and a basic notepad are enough. Who it’s for This workshop is designed for business owners, coaches, consultants and freelancers who write frequently and want to reduce the time spent rewriting generic AI output. Complete beginners are welcome, while regular AI users should find particular value in the build and testing portion. Emery Layton is a licensed Professional Engineer with 25 years of experience in water and wastewater infrastructure. Working in a field where errors carry real liability shaped his approach to AI: accuracy, consistency and reliability take priority over novelty or showmanship. View the event and registration details

ChatGPTClaudeGemini

◎ Online

Hosted by Massachusetts Institute of Technology (MIT)

Build production-ready AI and machine learning solutions without writing a single line of code. This comprehensive 12-week online program from MIT Professional Education transforms aspiring data scientists and business professionals into AI practitioners through hands-on, no-code workflows. Starting November 27, 2026, you'll master the latest AI technologies—from supervised learning and neural networks to Generative AI and autonomous agents—using intuitive platforms that eliminate traditional coding barriers. What You'll Master This industry-aligned curriculum covers the complete AI development lifecycle across 10 core modules and additional self-paced content. You'll explore data science fundamentals, prediction methods using regression and neural networks, decision systems, recommendation engines, and computer vision techniques. Advanced modules dive deep into Generative AI foundations, prompt engineering, and Agentic AI—the cutting edge of autonomous intelligent systems. The program culminates with critical training in ethical and responsible AI deployment. You'll work with powerful no-code platforms including KNIME, RapidMiner, Teachable Machine, ChatGPT, Gemini, NotebookLM, and Dall E. These tools enable rapid prototyping, testing, and operationalization of machine learning models without traditional programming knowledge. Hands-On Learning Theory meets practice through 3 comprehensive projects and over 20 real-world case studies spanning hospitality, marketing and advertising, EdTech, healthcare, food and nutrition tech, and e-commerce. You'll transform raw data into actionable business insights, build classification systems, deploy neural network solutions, and create recommendation engines—all using no-code methodologies that reflect current industry practices. World-Class MIT Faculty Learn directly from MIT's leading researchers and educators, including Stefanie Jegelka, Caroline Uhler, John N. Tsitsiklis, Munther Dahleh, and Devavrat Shah. Their expertise ensures you're learning cutting-edge techniques aligned with academic research and industry application. Flexible Online Format This fully online program requires 6-12 hours weekly commitment over 12 weeks (approximately 80 total study hours). The asynchronous format allows you to balance learning with professional and personal commitments while progressing through structured modules. Upon successful completion, you'll receive a Certificat

ChatGPTGeminiKKNIME+4 more

⌖ Location TBC

A conference exploring practical AI applications that benefit society, with demos and panels.

ChatGPTClaudeGemini+2 more

⌖ San Francisco

Two-day in-person conference in San Francisco exploring applied AI in startups, technical case studies, and hands-on Bubble no-code development. This expo is ideal for those interested in automation, AI, and no-code solutions.

MakeZapiern8n+16 more