Use Cases
Real, runnable examples of mycontext-ai solving domain-specific problems across 8 industries. Each use case mixes multiple cognitive patterns, demonstrates a specific integration style, and shows what you actually get from the output.
Domains
| Domain | Use Cases | Highlights |
|---|---|---|
| Software Development | 6 | PR review pipeline, incident triage, ADRs, AI testing |
| Healthcare | 5 | Differential diagnosis, ethics consultation, literature synthesis |
| Banking & Finance | 5 | Credit risk, fraud investigation, regulatory audit |
| Legal | 5 | Contract risk, case strategy, regulatory impact |
| Education | 5 | Adaptive curriculum, Socratic tutoring, rubric design |
| Product & Strategy | 4 | Opportunity analysis, competitive intelligence, roadmapping |
| Government | 5 | Policy impact, crisis response, budget allocation |
| HR & People Ops | 5 | Performance reviews, L&D paths, culture analysis |
Integration Styles Used
Every use case picks the integration style that fits the problem — raw Context, LangChain LCEL, CrewAI multi-agent, AutoGen, LlamaIndex RAG, Blueprint, or Agent Skills. Most examples combine two or three.
Patterns Coverage
These use cases collectively cover all 87 cognitive patterns — 16 free and 71 enterprise. Enterprise patterns require activating a license key.
import mycontext
mycontext.activate_license("MC-ENT-YOUR-KEY")