RealAI Workflows
A curated, evidence-based library of AI workflows for specific professions (lawyers, accountants, marketers, recruiters) showing where LLMs genuinely save time versus where they add risk, with prompt templates and time-tracking prompts.
mid-career knowledge workers in white-collar professions wanting proven AI use cases
- Profession-filtered workflow library ranked by time saved and risk level
- Prompt templates tested by named practitioners in each field
- Time-tracking prompts so users can measure their own before/after
- Failure-mode notes (e.g. where hallucination risk is unacceptable)
Theorists argue about whether LLMs deliver productivity gains; practitioners need a credible, evidence-grounded playbook they can actually use.
Strong macro demand: AI productivity tools market $11.2B in 2025 → $36.4B by 2033 (14.5% CAGR), legal AI $1.4B → $3.9B by 2030; 63% of lawyers expect bigger AI role per Alexi/industry data.AI Productivity Tools Market Size, Trends Report, 2026-2033 ↗Alexi Unveils AI Workflow Library for Law Firms ↗
Crowded: Alexi (workflow library for law firms), Thomson Reuters agentic AI workflows, Clio's 9 use cases, foraithings.com, God of Prompt, prompts.ai, prompt-library.ai, plus Substacks (Pragmatic Engineer, Latent Space) cover much of this ground.Alexi Unveils AI Workflow Library for Law Firms ↗For AI Things — AI Tools, Automation & Workflows Guide ↗Ultimate Prompt Libraries for SaaS Companies ↗
Weak: prompt-library.ai sells at CHF 19/pack with no subscription; SaaS Prompts free tier; foraithings appears to be free content; pure curated-prompt/content plays monetize poorly vs. incumbent CLE/Bar content and bundled tool vendors.Pricing — Prompt Library ↗SaaS Prompts Review, Pricing & Alternatives ↗
Moderate: LLM capabilities shift every few months so workflow/prompt recommendations go stale quickly; evidence-based, profession-specific framing is more durable than pure prompts but still requires continuous updates.
High: content curation, prompt templates, and a static-site/SaaS front end are straightforward; the hard part is credibility and distribution, not build complexity.