Seaml.es

Seaml.es generates literature reviews grounded on real papers pulled from Semantic Scholar, then blended with the user's own description using GPT-4. It also bundles an AI scholarship search and essay assistant. Credits are sold in packs or as monthly and yearly unlimited plans, with a 20 query per day cap.

Seaml.es (Seamless) is an academic writing tool built around one core job: producing a literature review from a short description of the paper the researcher intends to write. The user supplies a description of the planned work, and the system retrieves matching scientific publications from the Semantic Scholar database, then uses a large language model (GPT-4 is named on the site) to blend the retrieved papers with the user description into a written review. Because the output is anchored to papers that actually exist, the citations in the draft point to real sources rather than hallucinated references, which is the central distinction the product draws against general chatbots. The tool is aimed at students and researchers across engineering, computer science, chemistry, biology, law, medicine, pharma and business, with an explicit pitch toward non-native English speakers who need help reading and summarising scientific journals. A separate, newer module extends the same account to scholarship search and application essays: it queries a scholarship and grant database, suggests essay structure and content, gives real-time feedback, checks alignment with scholarship requirements and polishes language. Scholarship records can be added manually by URL, and saved searches with match reminders keep funding options moving. In practice the workflow is a credit system. A single generation consumes one credit, so the $9.99 pack buys ten reviews, while $29.99 monthly and $214.99 yearly plans lift the credit ceiling. Users are capped at 20 queries per 24 hours regardless of plan, which matters for anyone planning to run several parallel drafts in a session. Subscriptions are cancelled from the dashboard via a Manage Your Account button. Seaml.es sits between a reference manager and a general-purpose chatbot: less control over source curation than a librarian-led search, more grounding than asking a chat model to summarise a field. It is best treated as a first-draft engine that still needs a researcher to verify, prune and rewrite the retrieved sources.