FAQ from tidi.studio
What is tidi.studio?
A studio where AI-native design and user-centered development converge — purpose-built for founders who refuse to choose between technological ambition and human empathy. We don’t just implement AI; we design how it thinks, acts, and relates — always anchored in real user needs and business outcomes.
How to use tidi.studio?
It starts with shared intention, not scope documents. You bring the vision, domain knowledge, and user insights. We bring AI fluency, interaction design rigor, and battle-tested engineering discipline. Together, we co-create through lightweight sprints — validating assumptions early, refining interfaces with live prototypes, and shipping production-grade AI capabilities incrementally.
How does it work?
We operate on a lean, subscription-aligned model: simple monthly billing, zero hidden fees, and full transparency. Once onboarded, your dedicated team joins your daily standups, reviews PRs, tests prompts, and co-writes system documentation — treating your product as their own. No handoffs. No silos. Just consistent, senior-level collaboration — scaled to your pace.
What’s the typical timeline from first call to first live AI feature?
For most scoped engagements, the first shippable AI component — whether a smart UI module, a validated agent flow, or a production RAG endpoint — goes live in 4–6 weeks. Complex agentic systems follow a phased rollout: core capability → safety guardrails → personalization layer → analytics integration — each milestone delivered and validated before moving forward.
How do you handle edge cases, hallucinations, and reliability in production AI systems?
Reliability isn’t an afterthought — it’s designed in. We apply layered safeguards: deterministic fallbacks, confidence scoring, human-in-the-loop triggers, rigorous prompt chaining validation, and continuous monitoring dashboards. Every AI feature ships with observability, versioned prompt libraries, and documented failure modes — because trustworthy AI is measured by what it *doesn’t* do, as much as what it does.
Do you support existing AI products — or only greenfield builds?
Both. Whether you're auditing an underperforming LLM pipeline, redesigning a confusing agent interface, or scaling a prototype into enterprise-grade infrastructure, we meet you where you are — with deep diagnostics, targeted improvements, and clear migration pathways.
Can I integrate tidi.studio’s work with my current engineering stack?
Absolutely. We specialize in pragmatic interoperability: building modular, well-documented APIs; containerized services; clean SDKs; and infrastructure-agnostic architectures. Whether you run on AWS, Vercel, or bare-metal Kubernetes — and whether your backend is Node, Python, or Rust — we design for seamless integration, not vendor lock-in.
Which AI frameworks and infrastructure do you optimize for?
We’re framework-agnostic but opinionated about outcomes. We leverage LangChain/LlamaIndex for rapid prototyping, custom orchestration layers for production resilience, vLLM/Triton for high-throughput inference, and observability tools like LangSmith and Weights & Biases. Our stack choices prioritize maintainability, auditability, and cost-efficient scaling — never tech novelty for its own sake.
Who owns the models, prompts, and fine-tuned assets after delivery?
You retain full ownership — including all proprietary prompts, fine-tuned weights (where applicable), evaluation datasets, system architecture diagrams, and source code. We deliver complete, self-contained repositories with CI/CD pipelines, security scans, and deployment playbooks. Nothing stays behind. Nothing is proprietary to us. Your AI, your IP, your control.