Orkas

Orkas helps ecommerce sellers connect store analysis, product research and content preparation in a local desktop workspace. It is useful for small teams that need to turn scattered reports, product specifications and customer feedback into work a colleague can review and use.

Start with sales and cost reports supplied by the seller. Ask for a review of sales patterns, a breakdown of the available cost data and questions about missing inputs. Keep calculated figures separate from assumptions, then use the findings to prepare a practical action list. The seller checks the calculations and decides which issues need further investigation.

For product selection and competitor research, provide authorised source material and define the market, audience and comparison criteria. Orkas can help organise findings into a research summary, identify gaps in the available evidence and carry relevant conclusions into the next content task. Competitor claims are references to investigate, not facts about the seller's own products.

For listing optimisation and localisation, bring verified product facts and the target market's language requirements. Prepare product titles, selling points and descriptions that preserve specifications while adapting terminology and presentation. Use customer-review insights to identify questions the page should answer. Connect the reviewed copy to product image, video and creative-brief drafts, then document the handoff in an operating SOP.

Orkas is an open-source, local-first desktop AI team. Commander coordinates specialist agents across research, analysis, writing and creative work, using seller-provided files and tools the user authorises. Users can inspect the public code and connect their own supported model providers with their own API keys. Local-first describes the desktop workspace; configured external model services may receive task content.

The core app is free. Model usage and optional services may cost extra. Outputs remain drafts or analysis for review: the seller checks facts, approves content and uses authorised tools for the final operating steps. This makes the workflow suitable for teams that want connected research and production while retaining responsibility for business decisions.