From Raw Feedbackto Actionable Specs

Upload customer interviews and feedback. SpecForge synthesizes insights and generates structured feature proposals — ready to paste into Cursor or Claude Code.

Capabilities

Everything you need to go
from discovery to delivery

No more manual synthesis. SpecForge turns messy qualitative feedback into structured, evidence-backed specs in minutes.

Multi-Source
Ingestion

Upload files or paste raw text from any source. Every file type your workflow already uses is supported — no reformatting required.

.txt.pdf.docx.json.mdPaste text

AI-Powered
Synthesis

Identify recurring themes and pain points across all your inputs. Every surfaced insight is backed by direct customer quotes — grounded in your actual source material, never hallucinated.

Exportable
Proposals

Generate structured feature proposals with problem statements, evidence, and engineering task breakdowns. Export as Markdown and send directly to Cursor, Claude Code, ChatGPT, Gemini, or any coding agent — or share with your team instantly.

How it works

Three steps from
feedback to spec

The fastest path from raw discovery input to an AI-ready engineering spec.

1

Upload Feedback

Add files or paste text from interviews, surveys, support tickets, or Slack exports. Label each input by source type — interview, survey, support ticket — so the AI can weight insights appropriately across your entire corpus.

2

Run Analysis

SpecForge reads all your inputs simultaneously, surfaces recurring patterns, and attaches direct customer quotes to each theme as evidence. No hallucination — every insight traces back to something a real user said.

3

Export & Build

Copy or download your proposals as Markdown and paste directly into Cursor, Claude Code, or any AI coding agent. Full problem statement, supporting evidence, and atomic engineering tasks — ready to hand to a builder.

Ready to ship faster?

Join early users turning raw customer feedback into AI-ready specs in minutes.

SpecForge

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