Klewr
Validate your AI idea in days, not months.
Task Success Rate
Time to MVP
We recruit five target users and run moderated tests, capturing usability metrics and qualitative feedback to guide the next sprint.
Get a polished demo and metrics storyboard that speaks the language of VCs and corporate sponsors.
Proofs integrate with open LLM APIs to validate latency, cost and accuracy before heavy investment.
We turn your concept into a high-fidelity prototype or thin-slice MVP using no-code and pre-trained models so you can test with users fast.
A transparent look at our end-to-end process—from kickoff to delivery—so you know exactly what to expect at every stage.
We align on: key hypothesis, single success metric, and sprint budget.We discuss: data availability, model/API limits, and privacy concerns.
We explore: AI use-cases, storyboards, risk vs. impact matrix.We prioritise: what can move the KPI in ≤ 30 days.
We craft: lo-fi flows plus mocked GPT prompts & fake data.We deliver: hi-fi clickable Figma and optional API stubs.
We test: five moderated sessions, prompt-hallucination checks.We iterate: tweak flows, refine prompts, retest hotspots.
We compile: experiment results, tech brief, next-sprint backlog.We hand off: an investment-ready timeline and resource plan.
Our prototypes include mocked API calls, realistic GPT prompts, and fallback states for latency or hallucinations. That means your team can plug real models in without redesigning the UI later.
Yes—user tests are built into the sprint. We recruit five target users, run moderated sessions, record highlights, and deliver a concise insights reel within 48 hours.
Then we’ve saved you months of dev cost. You’ll get a pivot brief outlining alternative use-cases, and we can spin a revised prototype in an extra one-week sprint if you choose.
