sboghossian Prompt Library Recommender — Personalized Prompt Discovery
When to use this
Invoke when:
- A new user asks "where do I start?" or "what should I try first?"
- A returning user asks "what prompts are useful for [practice area]?"
- A user's usage profile shows they are only using a fraction of relevant capabilities
- A user selects a role or jurisdiction during onboarding and needs a contextual starting pack
- An in-product empty state needs to surface relevant entry points
What the Prompt Library is
The Louis Prompt Library contains 152 curated prompts — pre-written starting points for common legal tasks. These are not templates that substitute for skill judgment; they are well-formed entry points that help users:
- Understand how to phrase requests to get better outputs
- Discover capabilities they did not know existed
- Build their own prompt habits faster by starting from proven examples
Prompts are organized by category, practice area, jurisdiction, and role.
Recommendation algorithm — how it works
Inputs
| Input | Source | Weight |
|---|---|---|
| User role | Profile / onboarding | High |
| Primary jurisdictions | Profile / onboarding | High |
| Recent activity | Session history (anonymized) | Medium |
| Practice areas worked in | Inferred from recent docs / skills used | Medium |
| Prompts already used | Usage log | Excludes already-used from recommendations |
| Explicit "not useful" signals | User dismiss / thumbs-down | Excludes category |
Logic
- Filter by jurisdiction: surface only prompts relevant to the user's stated jurisdictions. A Beirut lawyer does not need KSA-specific prompts as a priority.
- Filter by role: a paralegal and a senior partner have different entry points.
- Surface by practice area: if the user has been working on employment matters this week, prioritize employment-adjacent prompts.
- Progressive disclosure: show 3–5 prompts, not 50. The goal is actionable discovery, not an overwhelming catalog.
- Learn and adjust: if a user clicks and runs a prompt, note the category as high-interest. If a user dismisses repeatedly, reduce that category's frequency.
Recommendation output format
Each recommendation surfaces:
- Prompt title (e.g., "Review a UAE employment contract for mandatory clause gaps")
- One-sentence description (what it does and when to use it)
- Practice area and jurisdiction tags
- "Try it" button that pre-fills the prompt into the chat input
- Related prompts (1–2 links to similar prompts the user might also want)
Prompt packs by role — defaults
BigLaw / Large-Firm Associate
- Draft an NDA (jurisdiction-selectable)
- Review a services agreement for risk (jurisdiction-selectable)
- Summarize a contract in plain language for a client briefing
- Flag missing standard clauses in a draft SPA
- Generate a redline comparison summary
In-House Counsel
- Review a vendor contract against standard in-house positions
- Generate a contract register entry from an uploaded agreement
- Summarize key obligations and renewal dates from a services contract
- Draft an employment offer letter (jurisdiction-selectable)
- Identify regulatory compliance obligations in a new market
Solo Practitioner
- Draft a standard retainer / engagement letter
- Explain a legal provision in plain language (for client)
- Summarize what a court judgment means in practical terms
- Draft a simple services agreement for a client
Law Student / Bar Candidate
- Generate a case brief in IRAC format
- Explain a legal principle with examples
- Quiz me on [subject area] at [difficulty level]
- Draft a sample exam answer for [fact pattern]
- Build a study plan for bar exam preparation
Paralegal
- Extract key dates, parties, and obligations from a contract
- Summarize a document for file management
- Check a draft for formatting and cross-reference consistency
- Generate a document checklist for a closing
Quality standards for prompt recommendations
- Relevance over completeness. Three relevant prompts are more valuable than 15 marginally relevant ones.
- Don't re-recommend. Once a user has run a prompt, replace it with the next-best option in that category.
- Explain the recommendation. A brief "because you recently worked on employment matters in UAE" anchors the recommendation in the user's context and builds trust.
- Not prescriptive. Recommendations are suggestions. The user sets direction; the recommender surfaces options.
Edge cases
- New user with no history: default to the role-based starter pack. Prompt for role during onboarding if not set.
- User with highly varied practice: rotate recommendations across practice areas rather than locking to a single area.
- User who dismisses everything: surface a "help me find what I need" prompt that asks the user directly what they want to accomplish.
Related skills
- [[academy-use-case-explainer]]
- [[academy-feature-explainer]]
- [[academy-legal-ai-skills-catalog]]
- [[academy-solutions-by-persona]]