Studioform stands out because it's focused on helping businesses build production-ready AI solutions instead of just showcasing demos. The team's engineering-first approach, clear vision, and focus on AI agents, automation, and modern web development make it an exciting product to watch. Looking forward to seeing more tools and open-source resources as they continue to build
I'd love to see a public roadmap, more technical case studies, detailed documentation, and additional demos showcasing real-world implementations.
I looked at a few AI development agencies and automation platforms, but Studioform's focus on custom engineering and production-ready systems felt more aligned with what I was looking for.
The voice agent felt surprisingly natural in Hindi, which is rare to see from India-based tools. Curious how it handles noisy call center environments in production.
@zerdabiricjhjd Thanks, Zerda! Noisy call environments are definitely one of the production scenarios we're optimizing for. Real-world telephony conditions are very different from clean demos, so that's a major focus for us.
The voice agent handled my messy Hindi-English mix surprisingly well, which is rare. Curious how it holds up with more complex workflows.
@brawzb4 Appreciate you trying it, Büşra! Code-switching between Hindi and English is common in real conversations, so handling mixed-language interactions naturally has been one of our priorities. We're also working on supporting more complex multi-step workflows.
Tried the voice agent demo and it actually handled my rambling follow-up questions without losing track, which is more than I can say for most bots. The domain-specific LLM angle feels like a smart move for Indian businesses tired of generic responses.
@nevinbavbek Thanks, Nevin! Maintaining context across longer conversations is something we care a lot about. We also believe domain-specific AI delivers much better business outcomes than generic assistants, so that's the direction we're continuing to invest in.
finally checked out Studio Form and the voice agent setup was smoother than i expected, handled a sample customer call without me babysitting it.
@dloker20536 Thanks, Dursun! Happy to hear the setup felt smooth. One of our goals is to reduce the amount of manual configuration needed so teams can get a production-ready voice agent running quickly. We'll keep improving reliability as we add more real-world integrations.
One question for everyone building with AI:
What's been your biggest challenge in taking an AI prototype into production?
Is it reliability, latency, evaluations, cost, integrations, or something else?
We'd love to learn from the community and build solutions around real-world challenges. Looking forward to hearing your thoughts!
One thing that would be really helpful is a public roadmap or changelog so users can see what agents and voice features are coming next. It would build more trust and honestly make it easier to plan integrations around your releases.
@zaferzker
Thanks, Zafer! That's a great suggestion.
A public roadmap is definitely something we're planning. We want to be transparent about what we're building—from AI agents and voice systems to automation workflows—and make it easier for developers to plan around upcoming releases.
We're also working on a changelog so users can track improvements and new features as they ship. Thanks for the feedback—it reinforces that this should be a priority.
Thanks so much for the thoughtful review, Minor! We really appreciate you taking the time to share such detailed feedback.
We're glad our engineering-first approach resonated with you. Your suggestions around a public roadmap, technical case studies, documentation, and more real-world demos are spot on, and they're already high on our priority list as we continue to build.
We hope to share much more of our journey in public over the coming months. Thanks again for your support—it genuinely helps us improve.