COL: CO for Learners
COL gives you a structured six-phase workflow for producing academic work with AI. You do the thinking. AI helps you think better. Every phase requires your explicit approval before the next begins.
COL works in any academic discipline. The base workflow stays the same; your discipline adds specialized agents and knowledge. Finance students get COL-F (24 finance agents). History, biology, and other subjects can be added the same way.
Six-phase workflow
Section titled “Six-phase workflow”| Phase | Command | What happens | Evidence required |
|---|---|---|---|
| 01 Study | /study | Research the topic, gather sources | Sources cited and verified |
| 02 Outline | /outline | Create a prioritized task plan | Student explicitly approves plan |
| 03 Draft | /draft | Produce the deliverable, one task at a time | Evidence-based completion |
| 04 Challenge | /challenge | Review agents critique the work | Review assessment documented |
| 05 Learn | /learn | Capture reusable knowledge (study patterns, source lists, writing conventions) for future sessions | Human approval required |
| 06 Submit | /submit | Package and submit the final output | Submission checklist complete |
Four approval gates
Section titled “Four approval gates”Between each major phase, the student makes an explicit judgment call:
- Study to Outline: Is the research scope correct and complete?
- Outline to Draft: Is the task plan appropriate for the assignment?
- Draft to Challenge: Is the deliverable substantive enough for review?
- Challenge to Submit: Have review findings been addressed?
AI cannot bypass these gates. The student’s judgment at each gate is the assessment signal.
How COL adapts to your discipline
Section titled “How COL adapts to your discipline”COL provides the universal workflow. Your discipline adds specialized agents, knowledge, and rules:
COL (base methodology)├── Academic Writing agents├── Research agents├── Study Support agents├── Review & Quality agents└── Management agents │ ├── COL-F (Finance) ← 24 agents, 20 skills, 13 rules (production) ├── COL-H (History) ← planned ├── COL-B (Biology) ← planned └── COL-[X] (your discipline)| Category | Base COL provides | Subject layers add |
|---|---|---|
| Academic Writing | academic-writer, citation-specialist, presentation-designer | — |
| Research | research-assistant, peer-reviewer | Subject-specific research methods |
| Study Support | concept-explainer, exam-coach | Subject tutors (course-specific) |
| Review & Quality | deep-analyst, assignment-analyst | Subject-specific quality criteria |
| Management | todo-manager | — |
Three failure modes COL addresses
Section titled “Three failure modes COL addresses”Amnesia: AI forgets assignment constraints, rubric criteria, and course conventions between sessions. COL reloads your assignment parameters, rubric dimensions, and integrity rules at every session start.
Convention drift: AI reverts to generic academic style instead of course-specific conventions. Wrong citation format. Wrong source quality threshold. Wrong level of analysis. COL’s guardrail rules enforce course-specific conventions.
Safety blindness: AI presents its analysis as the student’s own work. Fabricates citations. Skips pedagogical scaffolding. COL’s integrity rules and enforcement hooks detect and block these patterns.
Academic integrity
Section titled “Academic integrity”COL enforces integrity as an absolute directive:
- No fabricated citations. Every reference must be verifiable.
- Proper AI disclosure per venue requirements.
- Student judgment must be visible at every approval gate.
- The deliberation log (what the student decided and why) is the primary evidence of learning.
Get started
Section titled “Get started”You need Claude Desktop (free, any operating system) or Claude Code (command line). No coding required.
- Download the COL workspace from GitHub and unzip it
- Open Claude Desktop, switch to the Cowork tab, and open the unzipped folder
- Type
/startand tell COL what you are working on
The full setup guide walks through each step with screenshots.
First subject implementation
Section titled “First subject implementation”COL-F (Finance) is the first production implementation. 24 specialized agents, 20 skill directories, 13 enforcement rules, 5 hooks. Active use in undergraduate and graduate finance education.