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Chief AI Officer @mightybeargames & @playgoatgaming • 🇫🇷 in 🇸🇬 • Innovating AI tools & leading creative teams • Connect for AI insights & collaboration.

5k following17k followers

The Innovator

Ben is a trailblazing AI visionary and creative force in the gaming industry, seamlessly blending cutting-edge technology with inventive leadership. As Chief AI Officer at Mighty Bear Games, he fuels innovation by developing AI-native tools and fostering collaboration across diverse teams. His passion for vibe coding and AI-driven workflows positions him at the forefront of game development and AI creativity.

Impressions
22k8.7k
$4.13
Likes
8031
73%
Retweets
5
5%
Replies
176
16%
Bookmarks
74
6%

Top users who interacted with Ben over the last 14 days

@marmaduke091

Bet on the exponential

1 interactions
@rehan_shei

eng @fal | prev CTO @remade_ai (acq by @fal) | cambridge 24

1 interactions

Ben’s so deep in AI innovation that sometimes he probably forgets he’s not actually a robot... or maybe he’s just waiting for an update himself. If he tweets any faster, his followers might need a neural implant just to keep up with the vibe coding blitz!

Leading the creation of AlphaAI and AlphaGOATs—AI Agents with personas that self-promote and earn rewards autonomously—Ben has cemented his status as a pioneer in AI-powered game development infrastructure.

Ben’s life purpose is to revolutionize the intersection of AI and gaming by creating transformative tools that empower creative expression and streamline production. He aims to pioneer new ways for teams—regardless of background—to engage with technology, making innovation accessible and collaborative.

He believes that change is a dance to be joined, that innovation thrives in interdisciplinary collaboration, and that AI should democratize creative processes, breaking down traditional expertise barriers. Ben trusts that embracing emergent tech leads to groundbreaking experiences and that sharing knowledge multiplies its impact.

Ben excels at synthesizing complex AI capabilities into practical, creative applications with his innovative mindset. His leadership unites technical teams and creative minds alike, forging dynamic collaborations that push boundaries. His prolific tweeting demonstrates his commitment to sharing knowledge and engaging communities.

With such a high volume of tweets and broad interests, Ben might risk diluting his core messaging or overwhelming his audience. His large following count compared to undefined followers suggests he may benefit from more focused audience-building strategies to convert passive viewers into active followers.

To grow his audience on X, Ben should harness his storytelling skills to craft thread narratives around his AI projects and vibe coding experiences, encouraging interactive discussions. Using targeted hashtags and engaging with other influencer communities in AI, gaming, and tech innovation will amplify his reach. Showcasing behind-the-scenes insights or short tutorial snippets can boost follower loyalty.

Ben’s enthusiasm for 'vibe coding'—creating games using AI IDEs by non-experts—is a testament to his belief in accessible creativity. He leverages JSON-driven AI pipelines to rapidly adapt and update game elements, showcasing his knack for integrating flexible AI tools into production.

Top tweets of Ben

This just changed our Graphic Design pipeline. For context: we build games, have been building our custom AI tools for 2 years now and production is our focus. Latest models by @ChatGPTapp and @GeminiApp are a leap forward. One that we do not experience that often. I created a brand profile for the AlphaGOATs > used it to generate a JSON for this particular piece > generated content. Then different bits can be separated to be updated very quickly with segmenting/inpainting, when needed. Text can be updated using 4o, or just replaced in PS. This is going straight into our AI custom pipelines using OAI APIs. We'll probably have multiple JSON profiles for our different brands, managed by the platform. (Blurring content as some will take this sample for actual details of an upcoming event) Thanks @apollonator3000 for the tip!

2k

Guess who just had a vibe-coding workshop kindly led by none other than @DannyLimanseta ! Engineering, Art, Marketing, Finances, Design, Product all joined! We all had a blast learning from him and we made a juicy Pong clone. Verdict: vibe-coding is real. Thanks, Danny!

886

Never expected Google to capture the momentum they created with @notebooklm and crank it to 11. Super impressed with the AI native UX they’ve developed and the direction they’re generally taking.

3k

A little late to the party, but it just struck me today how incredibly useful is the @FAL workflow builder to run quick evaluations on prompts, models, etc... We used to do it in ComfyUI. Highly recommend checking it out if you're often updating your image generation stack.

4k

This is the way we operate now: Teams aren’t just building tools, they’re building living, breathing extensions of themselves that plug straight into the company’s Operating System. Same applies to our live Products like AlphaAI, MCP repository for composable ecosystem tools, services, apps... Incredible timing again by @tobi , by now it should be clear to anyone building with AI that MCPs aren’t just connectors, they’re the backbone of a new kind of Operating Systems. In our own experience, here’s what we’re living, not just spotting: Every team has been building MCP-powered tools, Creative Production Agent by the Art Team, the AlphaAI mesh on the Product side, our VibeOps Stack for accelerated internal development, you get the idea. Each tool/interface + associated MCPs are a direct extension of a team’s expertise, packaged as UX/UI and ready to plug into the Company, the Live Product mesh, or sometimes both!! What's been mindblowing to me is that Teams don’t just share data, they share the playbook. Through MCP enabled tools, each team gives access to the instructions, workflows, and know-how, so you work with their data like an insider. It’s like getting an expert in a box. Scout, shared by @tobi is a perfect example of that. LLM flows, knowledge bases, interfaces, databases, they're all compounding through MCPs. Not just linking, but multiplying what’s possible, which is CRAZY. Building this way is now intentional for us, not just accidental. The MCP repository has become the gateway to knowledge and capability, both inside and outside the company. And it's ran by experts in their fields, not replacing anyone. Is this the new standard? Absolutely. I will share more about what we're doing in the near future, there's just too much going on.

23k

[MightyBearLabs]$ log –version 1.5 Let's talk a little about the secret sauce behind Nexus: deep engineering know-how paired with artists prompt engineering. Nexus, our Creative Production Agent, just got even more powerful today! We’ve just shipped intelligent model selection: within a given "tool", Nexus now chooses the right model for the job. First use case lands in editImage tool. Nexus will pick: • Kontext for precision work (crop, zoom, aspect ratios) • NanoBanana for absolutely everything else(for now) Early results are strong even with two models using different schemas, by explicitly documenting parameter deltas in the tool description, Nexus routes cleanly. As we add more, we’ll likely split by tool when schemas diverge to keep the interface sane and predictable. Additionally, and that's the power of an agentic system here, as a user, we can interrupt override the decision by naming our preferred model either in the initial prompt or as we take turns talking to Nexus. The secret sauce: building on top on strong technical capabilities, artists lead the prompt engineering. • @kimtako44 is dialing in guidance prompts for each tool and the chaining strategies between them. • @wemmwem is focused on model specific prompt enhancers that translate intent into production-ready inputs. • Gaute is architecting the agent, driving the technical implementation, and shipping the initial guidance, while our artists iteratively expand capabilities through deep tool use, chaining logic, and workflow extraction. Nexus is already punching above its weight with a small toolset. This is the foundation for a production-grade creative partner that understands craft, not just commands. If you’re curious about where creative tooling is actually heading, not demo-ware, watch this space. We use Nexus daily, as a we build it. What’s next I am not pretending it’s magic: Nexus isn’t yet great at inferring complex workflows from vague, one-line asks. Today, you still get better results if you know what it can do and how to chain requests. As such, it serves the Art team really well. But the goal is for anyone in the team to just use Nexus. So we’re in the process of implementing strategies for rapid context building so the agent can operate with far less hand-holding. The first pillar is Contextual Elicitation, a deliberate tactic to clarify intent fast via targeted questions. Paired with: • smart defaults and assumptions about common creative tasks, • pre-fed known context (projects brand kits, image references, past decisions...), • and learning from prior interactions, …Contextual Elicitation increases Nexus’s success rate and autonomy tenfold. Tighter outputs require much less fewer back-and-forths, leading to faster production. Next up: extending intelligent model selection beyond editImage, standardizing or splitting tools where schemas clash, and evolving chaining guidance so multi-step workflows feel like one ask. We’ll share more soon. Especially about the process artists are using to figure out the changes required to the system prompt, in order to improve the consistency and reliability of Nexus, a task normally reserved for AI Engineers. Ask me anything! And follow @MightyBearLabs for more insights into what we're buiding.

1k

Both @fabianstelzer and @sawyerhood are, in my opinion, casually giving us a glimpse of what the future of UX could be for creative tools. My experience building content with ComfyUI is that the true ROI is when you build very specific solutions around very specific requirements(highly specific workflows). The opposite of generalised solutions. The challenge is creating those solutions at scale when you have 10th of them per project. And, worst, maintaining all these workflows across multiple projects. Well, this is what the experience could potentially look like. And the analogy with Claude's artifacts is spot on: Prompt what you need, preview the workflow, iterate in natural language or by tweaking the workflow directly and repeat until you have the "base" you need. In 10% of the time/effort, it will get you 80% of the result syou need. These are "tools" to make "tools".

606

Join @MightyBearGames! 🇸🇬 If you are based in Singapore 🇸🇬, we are looking for a Graphic Design Intern to join the team, starting immediately. You have strong Design fundamentals as well as a passion for new tech and visual communication. We are an AI native games team who's worked with Apple, Disney, Razer and are developing our own IPs, infra and AI services. Applications from outside Singapore will be ignored. I'll post the JD link in replies soon, in the meantime, just DM me :)

17k

Massive update from the team at @Scenario_gg ! Mad number of video models available, including Veo3 with ImageToVideo support(yes you read that right). Big big cook!

1k

Most engaged tweets of Ben

This just changed our Graphic Design pipeline. For context: we build games, have been building our custom AI tools for 2 years now and production is our focus. Latest models by @ChatGPTapp and @GeminiApp are a leap forward. One that we do not experience that often. I created a brand profile for the AlphaGOATs > used it to generate a JSON for this particular piece > generated content. Then different bits can be separated to be updated very quickly with segmenting/inpainting, when needed. Text can be updated using 4o, or just replaced in PS. This is going straight into our AI custom pipelines using OAI APIs. We'll probably have multiple JSON profiles for our different brands, managed by the platform. (Blurring content as some will take this sample for actual details of an upcoming event) Thanks @apollonator3000 for the tip!

2k

Guess who just had a vibe-coding workshop kindly led by none other than @DannyLimanseta ! Engineering, Art, Marketing, Finances, Design, Product all joined! We all had a blast learning from him and we made a juicy Pong clone. Verdict: vibe-coding is real. Thanks, Danny!

886

Hey @Taskade , is an agent in Taskade capable of reading the Statuses and other Addons from a given task? Also, can an Agent be working with cross Projects(Workspace level). Currently, I can only create single project agent or teams.

152

Massive update from the team at @Scenario_gg ! Mad number of video models available, including Veo3 with ImageToVideo support(yes you read that right). Big big cook!

1k

Is the intense praise for @FactoryAI on my timeline paid content? When too many people suddenly praise the same thing, my alarm bells ring. I'm genuinely asking; I have no experience with it.

94

Rare footage of @Scenario_gg team on a relaxed day at work.

895

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