Detection of consistency in plan inconsistencies, analysis of impact due to requirements changes, extraction of decision-making logs from messenger unstructured conversation logs, etc. Master the art of combining core design control tasks that cause bottlenecks in practice with the reasoning capabilities of Codex Workspace.
In a typical IT service construction process, the point that causes the most time and rework costs is **"planning/design mismatch due to communication error"**. Let's understand the difference between a general-purpose conversation model such as ChatGPT and Codex Client, which holds the entire project file and maintains context.
| Compare items | General ChatGPT (single conversation) | Codex Client (Workspace-based) |
|---|---|---|
| Analysis scope | Compare single or fragmented copy-paste text | Check overall consistency of multiple documents in project directory |
| traceability | Risk of losing context of previous files as conversation continues | Real-time synchronization of inconsistencies between requirements and sub-specifications (API, UI) before and after changes |
| conversation tablet | Risk of simply recording meeting results or creating virtual entities | Precise separation of semantic basis (Why) and pending matters (Action Items) in unstructured conversations |
The cost of correcting errors in the design phase is **up to 100 times** lower than fixing them after development and testing are complete. AI immediately catches design inconsistencies and prevents rework.
AI accurately points out fact-centered issues such as missing inactivated rules and mismatched variable mappings (e.g., evaluation subjects are reversed), which are cumbersome for humans to fully inspect, in just a few seconds.
Classifies contradictions and omissions between meeting minutes, requirements, and screen designs. Discrepancy Summary Report Table (Output: consistency-report.md)
Mapping specific action items to be reflected in screen UI planning and backend API specifications according to new requirements changes Change impact analysis table (Output: impact-analysis.md)
Separate final agreed upon matters (Why) and pending matters requiring future review from unstructured verbal/chat records. Decision Log and Pending Items Table (Output: decision-log.md)
Analyzing the screens, API, DB, and documents affected by the addition of mobile phone authentication for membership registration Impact analysis report (Output: impact-analysis-report.md)
Comprehensively analyzes project data and summarizes current progress and major issues. Project issue report (Output: project-issue-report.md)
This is the overall workflow map in which input files pass through the Codex Client during the exercise process and are refined into a result table.
After creating a practice file in the project folder, proceed with contradiction auditing by sending the instructions below to the Codex Client prompt window.
Compare and analyze the three documents ‘meeting-notes.md’, ‘requirements.md’, and ‘screen-specification.md’ in the project folder. Find and organize items that are contradictory or inconsistent between each document, or items that exist in one document but are missing from the other. Print the results according to the requirements below. 1. Organize the results in the form of a Markdown table with columns ‘Classification’, ‘Findings and contradictions’, ‘Impact’, ‘Highest authority standard document’, and ‘Recommended action’. 2. When entering development and testing, indicate the impact as ‘high’ for matters that may cause fatal rework. 3. Do not create arbitrary answers, but derive comparative analysis results based on facts only based on the document text.
After preparing two types of requirements change files (v1.0 vs v2.0) and existing design/API specifications, we send a change impact mapping directive.
First, analyze which policy has been changed by comparing the 'requirements-before.md' and 'requirements-after.md' files in the project folder. After that, analyze which part of the ‘screen-specification-v2.md’ and ‘api-specification.md’ documents, which remain at the v1.0 level, where the changed policy content should be reflected. The results are output in a Markdown table format according to the format below: 1. ‘Change items’, ‘Before change’, ‘After change’, ‘Scope of influence (screen/API)’, ‘Importance’, ‘Actions (guide for specific modifications required)’ 2. Additionally, based on the v2.0 requirements, classify the importance of parts that require modification in the order of ‘high/medium/low’ and mark them in the column.
After preparing an unstructured development chat log (messenger-chat.md), decision logs and follow-up tasks are automatically separated and extracted.
Read the 'messenger-chat.md' conversation log in the project folder and create Decision Log and Pending Items for project management and tracking. Please perform the analysis according to the conditions below. 1. For matters that have been decided, please fill out the ‘Decision Log’ table. The column must include ‘decision item’, ‘decision content’, ‘decision background/basis’, ‘decision date’, ‘person in charge/subject’, and ‘status’. 2. Organize matters that have not yet been decided and require follow-up review or are on hold in the ‘Pending Items’ table. In the column, please include ‘Pending items’, ‘Follow-up details’, ‘Person in charge’, and ‘Planned due date’. 3. Please do not write fictitious dates or decision-making entities that are not based on the conversation log text.
We use Codex to analyze the impact of the entire system (screen, API, DB, documents) and create a report in response to the customer's change request to "add mobile phone authentication when signing up."
If the mobile phone authentication function is added to membership registration, please find all affected screens, APIs, DBs, and documents and prepare an impact analysis report.
By analyzing original project data such as meeting minutes, change history, action items, and issue lists, reports on current progress and major issues are automatically created.
Please write a project issue report that summarizes the main issues of the current project and includes urgency and priority.
It's not just comparing lines of text or detecting changes. Be aware of how the core logic of your business requirements (e.g. email verification ➔ SMS mobile number verification) has been revised; This is the principle of mapping the modification guide by dependently interpreting the variable mapping table of the physical files (front-end UI wireframe design and back-end API REST specifications) that have a dependency relationship with it.
In the flow of informal group chat rooms, such as “Apple will talk again at the next meeting,” and “Bank transfers are on hold for now due to PG review.” AI semantically refines the background factors that led to the final agreement (Apple developer annual account review schedule, delay in PG company contract approval, etc.). This allows the conference room decision-making background (why) to be fully remembered even if project members change.
The planning/design review process is not a one-time task. It serves as an organic design control device that bridges the planning and development gap in the IT project life cycle.
Identify conflicts or holes between existing plans, screen designs, and meeting minutes in just a few seconds.
Reporting of the basis and pending work in the meeting conversation that led to the decision to change requirements.
Final control to ensure that decision-making results are mapped to sub-UI screens and API specifications without exception.
| Evaluation items | Detailed training standard specifications |
|---|---|
| Training Difficulty | ★★★☆☆ (Intermediate Course) |
| Estimated lab time | 1 hour 30 minutes to 2 hours (including comprehensive practice and feedback) |
| Practical usability | ★★★★★ (Verify IT project consistency and prevent rework) |
| Task | topic | Take advantage of AI |
|---|---|---|
| Task 01 | Mismatch detection | Compare and verify differences between documents |
| Task 02 | Missing detection | Check for missing functions, policies, and exceptions |
| Task 03 | Change Management | Change history management and impact analysis |
| Task 04 | Document versioning | Compare versions and manage up-to-date documents |
| Task 05 | Decision tracking | Management of meeting decisions and action items |
| Task 06 | Impact analysis | Analysis of scope of impact based on change requests |
| Task 07 | Project issue report | Automatic reporting of project status and issues |
→ Initial planning specification verification can save up to 100 times the cost and man-hours compared to responding to rework failures that require code repair after all development is completed, greatly protecting business launch schedules.
→ You can experience the performance of accurately identifying input parameters that people tend to inadvertently omit in API specifications during their busy schedules, such as social login tokens and phone number reception specifications for SMS authentication.