Happily builds — always has.
Not just of events, but of systems, of tools and of new ways to work. From day one, we set out to change how the event industry connects. When legacy production companies stayed siloed and territorial, we launched a first-of-its-kind marketplace that shared talent, not hoarded it.
We use technology to make collaboration easier, not rarer. Tech tools should make you reach your goals sooner, reflecting how you already work, and help you do it better, quicker, easier. This is part of a bigger shift in how tools get built.
When we launched Happily Landing, it wasn’t about creating noise. It was about creating something useful for our team and our clients. Free, functional microsite software for enterprise events with no gates, nor paywalls, just access.
Now, we’re building again.
We’ve created HappilyGPT, a custom-trained AI assistant grounded in first hand experience producing events for millions of people. Internally, we lovingly call it Yappily. It’s smart, yes. But the aim is also to train it to be a lot like us: emotionally intelligent, feminist in its framework, and fluent in operational excellence. If there’s any big takeaway we’ve had from being behind the scenes of some of the industry’s first ethical AI conversations, it’s that building AI can’t just be who builds it the fastest. It has to be about who is included — building values and a collective identity we can all reason with. And as people who are power-users of tech—both off the shelf and hot off our own presses — we don’t just want to use AI. We want to shape it.
HappilyGPT is your second brain for event planning.
Our growing dependency on AI echoes the early days of smartphones—when we all became a bit smarter (and also less intuitive), more connected (and also more anxious), more informed (and also more misinformed). Not everyone checks their AI as compulsively as they check their phone—yet—but the spread of AI is inevitable. What matters now is how we respond. We can’t just learn from past mistakes; we have to act on them.
So, what would it mean to reclaim our intuition?
What if AI doesn’t just spit answers, but nudged us to pause, reflect, and gather ourselves before reacting?
How might it help us build confidence instead of spiraling into anxiety when faced with conflict or confusion?
And how do we train it—not just to sound right—but to tell the truth?
Most AI is trained on the loudest corners of the internet; a flood of generic advice, invalidated assumptions, and hot takes with the confidence of Elon that wouldn’t last five minutes in a meeting with Beyonce.
HappilyGPT is trained on actual event production experience. The kind that includes sweaty palms behind the cues, 100-page call sheets with zero room for error, and the invisible labor of making humans feel welcomed, seen, and celebrated. Yappily is trained on the collective wisdom of thousands of events, crafted by women and event producers who’ve called cues through last-minute changes, answered emails on red-eyes, and mastered the art of a winning brief. We’re not here to echo someone else’s voice. We’re here to honor our own.
When we started shaping HappilyGPT, we weren’t just training a model, we were building upon a value that’s guided us from the beginning: diverse teams build better.
As a female-founded and minority-operated company, that value is embedded in how we hire, who we spotlight, and what we stand for. Across every Happily project, we aim for at least 50% representation of women, 30% Black, Indigenous, and people of color, and 10% from LGBTQIA+ communities — a design that reflects the world we desire for. That’s not just behind the scenes, but in front of the camera too.
In AI and deep tech, that level of representation is even more rare. Behind every algorithm is a set of human choices, and right now, many of those choices are being shaped in rooms that aren’t nearly diverse enough. As of 2024, only 22% of AI professionals globally are women, and fewer than 14% hold senior executive roles. Those aren’t just numbers, they’re a reflection of whose voices have been excluded from developing the tech and tools that now shape our everyday lives, and the world we live in. And by extension, AI models aren’t just built by narrow teams, they are trained on biased data — often and already both multiplying and amplifying flaws as facts.
In the development of HappilyGPT, we’ve found inspiration from organizations dedicated to bringing more diverse voices and talent into the deep tech industry. In particular, AI4ALL, co-founded by Dr. Fei-Fei Li, and Credo AI, founded by Navrina Singh are two of our hero orgs. AI4ALL is nurturing the next generation of diverse AI talent and Credo AI is leading the way in responsible, inclusive AI governance. We’ve had the privilege of producing virtual events around ethical AI for both of these organizations — AI4ALL's AI's Future, Reimagined Summit and Credo AI’s Global Responsible AI Summit. These amazing female founders and their teams remind us that if you care about what AI is doing in and to the world, then care about who’s steering the ship.
HappilyGPT can save you time, sure. That’s one benefit of an AI assistant. But what we’re obsessed with is training it to tap into our hard-won insights and real human experience, moments where things had to go right, and did, because someone knew what they were doing.
And unlike traditional tools or search bars, GPTs are conversational by nature. That means you can ask follow-up questions, test out ideas, or pivot mid-thought, and get answers that evolve with you. It’s like having a mini event professional on speed dial, one who neverminds a 2am brainstorm, or a last-minute tweak.
Need to know how to keep a hybrid panel feeling dynamic? Ask it. Worried your VIP dinner flow feels stiff? It’s got thoughts. Debating whether to allow kids at a professional summit? Try this:
When the AI that acts like it's been in the room reaches its limit, that's when we really shine. Because Happily is about the people, and all the tech we build is to serve the human connection we were born with and the real world experts we collaborate with across the globe.
At the time of posting, HappilyGPT is definitely a wittle baby beta version of what it will be. And even when it grows up, it’ll make mistakes. But we’re here already convinced that the convenience of it’s ability to access and synthesize large amounts of our memories will be so much more helpful to ideate and get simple, repetitive tasks done.
Join the Happily freelancer community and get hired on event gigs.
All great tech and tools should never be one-and-done or set-and-forget. We’ll continue training HappilyGPT as the industry shifts, new challenges surface, and through every nuanced brief, specific request, and uniquely complex conversation we have with you — grounded in real work, not just internet theory.
This isn’t a tool that evolves on its own. Its growth is intentional, shaped by us, informed by the people who use it, and guided by the same care we bring to every production. The humans of Happily decide what our AI learns and how it responds. And we’ll keep refining it with purpose, feedback, and insight from the real world we’re working in every day.
Our HappilyGPT is designed to grow with the people who use it, and to keep offering answers that feel genuinely helpful, practical, and current. That’s why we’ll be actively collecting feedback, learning from what works (and what doesn’t), and adjusting as the work evolves. Not just to keep up, but to stay in sync with how events are actually being produced. Because a truly helpful assistant doesn’t just speak well, it is constantly learning to do their job better.
Whether you're a marketing manager shaping an event strategy for your leadership team, or a producer tightening the run of show down to the second, HappilyGPT is built to help. It’s here for the planners mapping every cue and the brand teams defining their event goals. For anyone juggling budgets, briefs, timelines, and tone — often all at once, and usually under pressure. We know what that kind of responsibility feels like. We carry it too.
Because when people closest to the work shape the tools — not just adapt to what already exists — the results get better. The work gets sharper. And the experience gets deeper. You see it in the run of show. In the timing of a transition. In the feeling your guests take home.
AI has a carbon footprint and every query emits about 4.32 grams of CO₂. And training a large model? That can mean hundreds of metric tons. Happily takes that seriously.
But here’s the nuance — ignoring the system doesn’t make it cleaner. Using someone else’s default is not a neutral act. The greatest climate risk is letting a handful of companies shape how people gather, how decisions get made, and how communities are designed without sustainability built in. These tools shape culture. So we have to build them with care and with our eyes open.
HappilyGPT is being developed with low-impact training practices, energy-efficient systems, and a commitment to scale responsibly. Because gathering well, and at scale, has to include the planet in the process. We’re not looking for shortcuts. We’re building a smarter path.
We could’ve slapped a name on someone else’s chatbot, plugged it into our website, and called it innovation. But that’s not how Happily builds. We work under the hood, adapt the system, and train it to reflect the way we work — and the values we believe in.
HappilyGPT was born because voice matters — our voice matters - and because the people who build a system shape how it speaks, and who it serves. Behind every great production are experts making high-stakes decisions in real time, and they deserve tools that understand the nuance, the energy, and the invisible pressure that comes with the job. This isn’t just about creating an AI assistant. It’s about authorship. Ownership. And building technology that reflects how we actually lead, produce, and connect.
Happily will keep building with intention, with community, and with the kind of care that makes great events possible in the first place. The future of tech in the event industry should feel more human, and we’re proud to be coding that in.
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