Submission Guidelines — Contract Intelligence at Scale

Submission Guidelines — Contract Intelligence at Scale

What We Publish

We cover the intersection of AI, data engineering, and enterprise automation — with a focus on practical, production-grade architectures. Our core topics: — AI/ML pipelines (OCR, LLM, computer vision) — Document intelligence & contract extraction — Data engineering at scale (Snowflake, Databricks, AWS) — Private equity & enterprise tech operations — Open-source vs managed service decision frameworks

What We’re Looking For — Technical depth: Not surface-level overviews. Show architecture diagrams, benchmarks, code, and real tradeoffs. — Business context: Connect technical decisions to ROI, cost, and operational impact. — Original work: First-person experience building systems, not rewritten documentation. — Well-structured: Clear headings, tables for comparisons, callouts for key insights.

What We Don’t Accept

• — Listicles with no depth — Promotional/marketing content — AI-generated fluff without real-world validation — Previously published content (no cross-posts)*

Story Format

• — Length: 1,500–5,000+ words (longer is fine if the depth justifies it) — Include: Architecture diagrams, benchmarks, code snippets, decision frameworks — Tone: Professional but accessible — write for senior engineers and technical leaders*

How to Submit

1. Follow our publication on Medium
2. Send a draft link or pitch (2–3 sentences on your topic) to [vpsathish05@gmail.com]
3. We’ll review within 3–5 business days
4. If accepted, we may suggest edits before publishing

After Acceptance

• — We may schedule publication timing for optimal reach — We’ll promote accepted stories across our channels — Writers retain full ownership of their work*