R&D HUB FOR BUILDING NEXT-GEN EXPERIENCES AT TCULES
Join Future Interface Labs
A space for those who think in systems, stories, & motion, not just pixels. We don't just design; we build. Working with real teams on real products, our creations are seen, credited, & celebrated.
Real build pressure
Work in short build cycles where execution, iteration, & clarity matter every week
Direct critique
Get feedback on architecture, trade-offs, product framing, and the quality of what you ship
Shipped systems
Contribute to functional AI-powered products that can stand as visible proof-of-work
Small serious cohort
Build alongside a small group of peers who care about ownership, craft, and follow-through
Product-level thinking
Learn to think in systems, constraints, decisions, & real-world product trade-offs
Who we are looking for?
AI systems builders
Builders working across AI-native development, agentic workflows, data systems, & end-to-end architecture
Product experience designers
People combining UX research, interface design, & motion craft with stronger systems & product judgment
Growth & brand operators
Builders who can engineer GTM motion, shape distribution, & compound product value through market-facing execution
Whatyou’ll gain?you’ll gain?
Shipped proof-of-work
Real systems, real decisions, & artefacts that show how you think & build
Stronger product judgment
Learn to defend trade-offs, handle critique, & operate with more clarity under constraints.
You’ll leave with more than experience. You’ll leave with clarity, confidence & momentum.You’ll leave with more than experience.You’ll leave with clarity, confidence & momentum.
What you’ll do in FIL?
This is not a task-based programme. You enter with proof-of-work, earn your place through practical evaluation, & build inside small pods that are expected to ship
Apply with shipped work
Show side projects, passion projects, or live experiments that demonstrate independent building ability
Pass the practical round
The final qualifying stage is execution-based. It may take the form of a build test, practical challenge, or hackathon
Work on ideas that matter
You may bring your own AI-native idea or build on a Tcules idea. What moves forward is decided on merit, market reality, & studio priorities
Join a build pod
Fellows are paired into small pods, often combining design, engineering, & GTM strengths.
Build, review & ship
Pods operate as real product teams. They build continuously, review openly, & ship work that can be demonstrated
Apply to join FIL
Applications for the next cohort are now open
Express intent to join
Submit the form with your background, proof-of-work, and why you want to build in FIL
*FIL is a selective programme. It is not a job application
Apply
Share relevant details, links, & demonstrable work
Review
We assess applications for merit, fit, & organisational relevance
Proceed if shortlisted
Shortlisted applicants move to the next evaluation stage
Got questions? Lets’s clear things up
We've got answers. If it's not covered here, feel free to reach out.
No. Weak execution without learning is a problem. Honest failure with documented learning is not. FIL expects builders to test ideas, surface trade-offs, kill weak directions quickly, and learn through iteration under real constraints
FIL is not for people looking only for résumé padding, passive learning, or constant direction. It is better suited to builders who are comfortable with critique, ownership, ambiguity, and repeated shipping.
Fellows work inside a structured build environment with direct critique, pod-based collaboration, and access to the tools, systems, and workflows needed for the product being built. The exact stack can vary by pod, but Tcules provides the working environment required for serious execution.
No. FIL does not optimise for marks, pedigree, or references. The primary filter is whether you can build, think independently, explain trade-offs, and show real proof-of-work.
FIL is for serious builders: final-year students, recent graduates, and early professionals who already build beyond coursework and want deeper AI product immersion. It is designed for people who can show independent execution, not just academic intent.
You should submit links and context that help us understand your building ability. This may include GitHub, live projects, side projects, short explanations of your work, and reflections that show how you think through decisions, trade-offs, and failures
FIL is an in-person programme based in Ahmedabad. The structure depends on close collaboration, direct critique, weekly demos, and pod-based building, which work best in a shared environment.
Selection is based on demonstrated execution ability, not marks or references. The process begins with proof-of-work review. Shortlisted applicants move to a practical evaluation stage, followed by founder review for clarity of thinking, ownership, and system-level reasoning
FIL is an in-person programme based in Ahmedabad. The structure depends on close collaboration, direct critique, weekly demos, and pod-based building, which work best in a shared environment.
No. A polished portfolio is not required. What matters more is demonstrable proof-of-work: shipped projects, GitHub, live builds, experiments, and your ability to explain what you built, why you built it, and what you learned
Yes. Fellows receive fixed monthly financial support for committed participation. This is structured support for an outcome-driven fellowship. It is not employment compensation, and it does not imply job placement
Requestartefact access
If you want to review artefacts from an experiment, tell us what you are evaluating & what you want access to.