Tomáš Novák

Years in this space

I've evaluated a lot of these over the years. What stands out here is format standardization for multiple channels — handled better than most — and significantly faster than manual data cleanup. Worth the time if this is your use case.

Solid for our team

We rolled this out across the team last quarter and custom prompts for structured JSON output. Clean markdown and HTML extraction fits neatly into how we already work, and aI-generated JSON from custom prompts removed a step we used to do by hand. but it has held up under daily use.

Use it every day

Honestly didn't expect to like it this much. AI virtual try-on from a user photo is exactly what I needed, and visualizes clothes on your real body. but I reach for it almost every day now and it just clicks.

Use it every day

Honestly didn't expect to like it this much. Compatible with Llama and other LLM stacks is exactly what I needed, and integrates easily into existing LLM pipelines. but I reach for it almost every day now and it just clicks.

Compared a few options

Evaluated this against two competitors. Where it wins: compatible with Claude, ChatGPT, and similar assistants and natural language queries across accounts. Where it lags: depends on third-party AI tools for output quality. On balance the feature set — especially live data access for marketing reporting — justifies the 4 stars for our use case.

Does the job

Pretty happy overall. Compliance-focused architecture just works and fast retrieval and response times. Setup complexity higher than SaaS tools can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.