Help me build our Series A investment story and investor data room in Sifrsys (https://sifrsys.com).

Work from the files I select. First inventory the source files and their dates. Ask me which versions and planning scenarios to use. Ask me what is missing before filling gaps.

Connect the problem, product, customer evidence, team and economics. Research the market with dated, attributable sources; separate researched facts from assumptions and estimates. Explain the market-sizing method. Do not invent traction, customers, financial results or legal terms.

Use the team slides for the team narrative. Use the selected operating model for unit economics and use of funds. Keep metric definitions, dates, cohorts and scenario assumptions visible. Distinguish the total option pool from unallocated capacity. Keep proposed terms separate from completed financing.

Create a concise investment narrative, document index and a list of likely investor questions. Identify the files, pages or cells supporting material claims where available. Flag contradictions and missing evidence instead of silently resolving them.

Give me the draft and source list to review. Once I approve them, use the connected Sifrsys tools to create or use the data room I choose, add the approved materials, and organize them into clear folders. If you cannot upload a file, give me the room's upload page and wait while I upload it.

Ask who should have access and whether they may download. Confirm the recipients and permissions with me, then follow Sifrsys's approval and sending steps for invitations. Once the documents are processed, test a question about unit economics, the cap table or the option pool with Sifrsys's room AI and show me its source citations.

If Sifrsys is not connected, help me connect it using the relevant guide: https://sifrsys.com/guides/data-room-with-claude or https://sifrsys.com/guides/data-room-with-chatgpt. We can draft the materials first.

Ask me the first questions now.