The Document Problem Nobody Talks About
Small businesses spend an enormous amount of time on documents that are 90% identical every time they're created. Service agreements, project proposals, onboarding packets, quote letters — the structure is always the same; only the names, numbers, and dates change.
Enterprise software like DocuSign CLM or Salesforce CPQ solves this, but at a price point and complexity level that's inaccessible to a 5-person company. The gap between 'manually filling out the same template' and 'enterprise contract automation' has been wide for a long time.
DocSolid is our attempt to close that gap.
What DocSolid Does
DocSolid is an AI-powered document automation tool built by Operon E2I. The core flow:
1. A user describes the document they need or fills out a structured intake form
2. The Claude API generates the document content, customized to the inputs
3. The output is rendered as a downloadable PDF or editable DOCX
The practical use cases we've validated with clients:
Service agreements. A cleaning company generates a service agreement for each new client in under 60 seconds. The AI populates service scope, pricing, liability clauses, and contact information from a short form.
Project proposals. A contractor describes a job verbally or via a form; DocSolid generates a formatted proposal with itemized scope, timeline, and payment terms.
Intake summaries. For a tax prep firm, clients fill out an AI-guided intake form; DocSolid generates a structured summary document that the preparer reviews before the first meeting.
The Technical Stack
DocSolid is built on Next.js App Router with the Anthropic Claude API for generation, PDFKit for PDF rendering, and Docx.js for Word output. Stripe handles the subscription billing.
The prompting pattern that works best is structured output — asking Claude to return a JSON object with named sections, then rendering those sections into the document template. This is more reliable than asking Claude to generate raw document text, because it separates the AI generation step from the formatting and rendering step.
What AI Document Generation Doesn't Do Well Yet
It won't replace a lawyer for high-stakes contracts. AI-generated contract language should be reviewed by a qualified attorney before use in agreements with significant financial or legal exposure. For routine service agreements and internal documents, the risk profile is very different.
It also struggles with highly regulated document types — anything that requires specific statutory language, jurisdiction-specific formatting, or government form numbers. We keep humans in the loop for those.
The ROI Case
For a service business generating 20-30 documents per month, manual template-filling typically takes 15-30 minutes per document. Automating that process saves 5-15 hours per month. At any reasonable hourly value of the business owner's time, the math works.
DocSolid is live. Learn more at /software or contact the team at /contact if you want a demo for your specific use case.