Ask about your documents
Planned natural-language questions over specifications and operating guides. Retrieve relevant passages and provide answers with source references.
TECHNICAL DOCUMENT ASSISTANT
IN DEVELOPMENT · FIRST PoC
Answers your
team can trace.
A technical-document assistant for small development and operations teams. We are building a PoC to turn specifications and operating guides into source-grounded answers and structured requirements.
Explore the sampleCurrent stage: workflow design and interactive sample. Claude API integration is planned next.
OUR FIRST PRODUCT FOCUSTECHNICAL DOCUMENTSSOURCE REFERENCESSTRUCTURED REQUIREMENTS
01 / The problem & planned product
Find the answer.
Check the evidence.
Small teams need to locate operating rules, review specifications, and turn prose into tasks. Our first PoC will focus on one document workflow, with verifiable evidence and a clear handoff to a person.
Extract requirements
Planned extraction of conditions, actions, and acceptance criteria into structured records that teams can review and use in their workflow.
Keep review in the loop
Show the source behind an answer, flag missing evidence, and ask a person to review uncertain outputs before an operational decision.
02 / Interactive sample
See the workflow in context.
Choose a question to explore a fictional document. Responses are prewritten examples; this sample does not call an AI model.
Source document
Sample deployment guide
Fictional example for this sample. Not an operating policy.
- [1]Deploy only after unit and integration checks pass and the release owner reviews the release notes.
- [2]Before a database migration, create a backup and verify that it can be restored.
- [3]Complete staging acceptance checks before the production release.
- [4]If the error rate exceeds 2% for five minutes after deployment, roll back to the last stable version and notify the release owner.
- [5]Record rollback actions in the incident log and include them in the next operational handoff.
03 / Planned Claude integration
A focused use case.
A measurable PoC.
We plan to evaluate the Claude API as the document reasoning and structured-extraction layer. Retrieved passages will provide context, and each output will remain open to source checks and human review.
- 01What Claude will do
Interpret technical language, draft answers from retrieved passages, and extract requirements into a consistent structure.
- 02What we will evaluate
Citation accuracy, unsupported claims, extraction quality, response latency, and cost per document workflow.
- 03What comes before a pilot
Build a small evaluation set, test missing-evidence cases, and review outputs before a limited customer pilot.
04 / Development roadmap
One workflow first.
Expand after validation.
This product is in development. The current website demonstrates the intended experience; production document processing and a customer pilot are future steps.
Define & illustrate
Define the first technical-document workflow and show question answering, evidence, and requirements in an interactive sample.
Build the Claude API PoC
Connect document retrieval to Claude, implement structured extraction, and evaluate answers against source material.
Run a limited pilot
Review output quality, latency, and cost before testing the workflow with a small development or operations team.
Built by Arosoft
Arosoft (아로소프트) is a software development business based in Gimpo, South Korea, established in December 2025. We focus on practical B2B AI and workflow automation. Our first planned Claude API product is this technical-document assistant.