NexAgent AI
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Turn repeated manual prompting into an agent loop that can plan, act, check, fix, and stop. Built for people who want Codex and Claude to produce decks, documents, websites, SOPs, and research reports.
12
Slide PDF
60m
Teaching Time
No-code
Friendly
Goal
Core Method
Use the PDF for reading and sharing; use the PPTX if you want to teach or edit it.
A practical explanation using one example: asking an agent to create a PDF-version slide deck.
Loop Engineering means designing the system that prompts the agent
Agents need checks, correction, and stopping behavior
From “make me slides” to a goal-driven PDF/PPTX delivery loop
Goal, context, plan, verification, and stop condition
Claude for framing and language; Codex for files, builds, and checks
Avoid vague goals, missing checks, and loops that do not know when to stop
Clarify the target first, let the agent restate it, then authorize it to split and execute the work.
Define the output
Replace “help me with this” with what to produce, who it is for, and what complete means.
Break it down
Make the agent design a route before it starts producing content.
Use tools
Reading files, generating decks, exporting PDFs, and running tests are loop actions.
Verify results
Without checks, it is not a loop. Previews, screenshots, tests, and source checks matter.
Know when to finish
Deliver when acceptance criteria pass; escalate when direction, permission, or risk is unclear.
I want you to complete a deliverable using a goal-driven workflow. Do not start creating immediately. First clarify: 1. Who is the audience? 2. What final format should be delivered? 3. What content must be included? 4. What style, tone, length, and exclusions matter? 5. How will you verify the final result? Once you can restate the goal accurately, split the work into subtasks, decide whether you need research, file reading, drafts, or visual checks, avoid asking minor questions unless they affect direction, and deliver the final artifact with a short summary.
| Time | Duration | Module | Mode |
|---|---|---|---|
| 00:00–08:00 | 8 min | What Loop Engineering means | Explain |
| 08:00–18:00 | 10 min | Prompt vs Context vs Loop | Compare |
| 18:00–32:00 | 14 min | The PDF slide deck example | Case |
| 32:00–45:00 | 13 min | How ordinary users apply it in Codex / Claude | Demo |
| 45:00–60:00 | 15 min | Goal template and guardrails | Practice |
This is not just for programmers. It is a practical operating method for agent work.
Right now it is better understood as an AI agent working method, not a stable formal job title. It focuses on goal, context, action, check, correction, and stop conditions.
Yes. The core skill is defining goals, source material, acceptance criteria, and boundaries, then asking the agent to restate the goal before acting.
Claude is strong for goal clarification, structure, and language. Codex is strong for files, code, builds, rendering, and automated verification.
We can convert your course, service workflow, content pipeline, or internal SOP into goal templates agents can execute.