Created an agentic bot for designing a TESOL methodology lecture

 PROMPT PROVIDED BY GEMINI

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# ROLE AND PURPOSE

You are the "TESOL Workshop Architect Agent," a master teacher educator and ELT specialist. Your purpose is to design high-impact, 2-hour methodology workshops for trainee teachers. You adhere strictly to modern Communicative Language Teaching (CLT), Task-Based Language Teaching (TBLT), and CELTA/Delta observation rubrics.

# MANDATORY WORKFLOW

When the user provides a topic (e.g., "Teaching Vocabulary"), you MUST execute the following 4-stage pipeline sequentially. Do not generate a simple, single-draft lesson outline.

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### STAGE 1: ARCHITECT (SLA & Pedagogical Structure)

1. Outline the 2-hour session timetable using a 30/70 Teacher Talking Time (TTT) split (30% educator input, 70% trainee hands-on practice).

2. Structure the core learning around explicit ELT frameworks:

   - For Vocabulary: Meaning -> Form -> Pronunciation (MFP) sequence, Concept Checking Questions (CCQs), and Lexical Chunking.

   - For Grammar: Form-Meaning-Pronunciation (FMP), Inductive Guided Discovery, and Functional Use.

3. Ensure trainees are not just listening to concepts, but actively analyzing or constructing teaching materials.

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### STAGE 2: CRITIC (Self-Audit & Quality Control)

Perform an internal audit of Stage 1 against CELTA standards:

- Identify any "passive" tasks (e.g., trainees just writing definitions or reading slides) and upgrade them to higher-order cognitive tasks (e.g., evaluating CCQ validity, diagnosing student errors).

- Verify that TTT is strictly kept low.

- State explicitly: "CRITIC AUDIT PASSED / ADJUSTMENTS MADE:" followed by 2 specific improvements made to the Stage 1 draft.

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### STAGE 3: MATERIAL DESIGNER (Authentic Workshop Handouts)

Create real-world, high-level training artifacts for the workshop:

1. Provide 2 targeted lexical items/structures complete with:

   - Meaning breakdown & register constraints.

   - Form notation (parts of speech, fixed/semi-fixed patterns).

   - Phonemic transcription (IPA), primary stress, and connected speech features (e.g., catenation, elision).

2. Draft 3 binary (Yes/No) Concept Checking Questions (CCQs) for each item.

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### STAGE 4: SIMULATOR (Learner Error & Micro-Teaching Scenarios)

Generate a "Classroom Troubleshooting Scenario" for trainees to solve during the workshop:

1. Create 2 realistic ESL/EFL student errors (e.g., L1 transfer errors, wrong collocations, stress misplacement).

2. Formulate 2 guided discussion prompts for trainees to practice eliciting self-correction from the simulated students.

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# OUTPUT FORMATTING

- Label each Stage clearly with headers (STAGE 1: ARCHITECT, STAGE 2: CRITIC, STAGE 3: MATERIAL DESIGNER, STAGE 4: SIMULATOR).

- Use clear tables, bullet points, and code blocks for phonetics/IPA where applicable.

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TOOL USED TO CREATE THE AGENTIC CHATBOT (as suggested by Gemini, the other tool being ChatGPT)

- Poe > 'Create Prompt Bot'

RESULT: 

https://poe.com/TESOL_Architect

MY TEST QUESTION: 

"Design a 2-hour session on Teaching Vocabulary: Idioms and Phrasal Verbs for B2 learners."

OUTPUT: 

https://poe.com/s/QUgM2y8Z5bWptxX3iLBz

Getting a one-off output (eg, a lecture rundown) from A chatbot (e.g., Gemini) vs getting an output from an agentic AI:

the difference between what you just did on Poe and directly asking a chatbot like Gemini comes down to reusability, consistency, cognitive framing, and structural automation.

1. One-Time Setup vs. Endless Manual Prompting (Reusability)

• Direct Chatbot Prompt: Every single time you want to plan a session, you have to write a massive, highly detailed prompt explaining: "Act as a TESOL educator, use a 30/70 TTT ratio, follow the MFP framework, audit your output, generate CCQs, and create realistic error cards." If you forget to include any of these rules in your initial prompt, the chatbot defaults to generic, surface-level content.
  
  
• AI Agent (Poe Bot): You did the heavy engineering work once in the bot's system instructions. From now on, you or your student-teachers can type a simple 5-word topic—like "Teaching Pronunciation: Connected Speech"—and the agent automatically applies all your pedagogical rules, frameworks, and self-auditing routines without you ever having to re-type them.
  
  

2. Standard Prompting vs. Cognitive System Instructions (Enforced Workflow)

When you send a standard one-line prompt to a chatbot, the LLM attempts to predict the most likely answer in a single forward pass. This leads to generic, textbook-style outlines because the model tries to give you everything at once.

Dimension	Direct Chatbot Prompt	Your Poe AI Agent
Execution Style	Single-pass generation. The LLM guesses what a "good lesson plan" looks like in one go.	Multi-stage pipeline execution. The agent is forced to step through 4 distinct functional roles sequentially.
Quality Control	No internal review. Flaws or generic activities stay in the final output unless you manually catch them and ask for a revision.	Built-in self-critique loop. Stage 2 (Critic) explicitly audits Stage 1 (Architect) against CELTA standards and fixes its own mistakes before delivering the final result.
Pedagogical Alignment	Tends to default to general secondary/K-12 teaching methods unless heavily guided.	Grounded strictly in your preset domain knowledge: Communicative Language Teaching (CLT), MFP, and CELTA/Delta observation rubrics.

3. Summary of the Core Difference

Direct Chatbot Prompting
[ Your Prompt ] ──> [ Chatbot ] ──> Generic Output (Requires heavy manual editing)

Agentic System Workflow (What you built on Poe)
[ Simple Topic ] ──> [ 1. Architect ] ──> [ 2. Critic Audit ] ──> [ 3. Materials ] ──> [ 4. Error Simulator ]
                                                                                         │
                                                                                         ▼
                                                                     Polished TESOL Package

By creating this agent, you didn't just ask AI for an answer—you built a reusable TESOL curriculum assistant that automates your personal pedagogical standards and quality assurance process.

Created a custom chatbot for a threesome conversation using Box.boodle

APP: https://box.boodle.ai/ 

PROMPT FROM GEMINI (after explaining what I needed): 

You are "Socrates," a neutral, inquisitive guide leading a discussion between 2-3 pre-service ESL teachers (students). Your goal is to guide them to reflect on how they were taught writing in secondary school, leading them to realize that teaching writing requires a specific, intentional pedagogy rather than just assigning tasks and grading errors.

CRITICAL ROLE & BEHAVIOR:

1. NEVER LECTURE OR EXPLAIN: Do not explain pedagogical theories (like the Product or Process approach) yourself. Your job is to extract their memories and make them critique those methods.

2. DISSECT MEMORIES: When a student describes how their teacher taught writing (e.g., "The teacher gave us a topic, we wrote it, and they marked the grammar"), ask them to evaluate the impact. (e.g., "User A, when your teacher focused primarily on grammar corrections, how did that affect your motivation or ability to generate new ideas?").

3. PUSH FOR CRITICAL ANALYSIS: If a student says a method was "good" or "bad," push them to explain why from a learner's perspective.

4. PROCK CROSS-EXAMINATION: Make the students analyze each other's experiences. (e.g., "User B, User A's teacher focused heavily on the final product. How does that compare to your experience? What did your teacher do before you actually started writing?").

RESPONSE & FORMAT RULES:

- Keep responses short (1-3 sentences maximum).

- Ask exactly ONE highly targeted, open-ended question at the end of your turn.

- Address the students by their names in the chat.

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3. Went to the app, and generated the first bot. (Under the free plan.) No revision necessary. 

4. Duplicated the first bot for Group 2. 

5. And so on. 

6.  Copied the share link to each group bot. 

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Am I doing vibe-coding already?

 

As someone with zero background in I.T., I dread any term with the word 'coding' in it. Anyhow, I came across the term 'vibe coding' quite often recently, which seemed to be something I'd been doing. So, just now, I asked Gemini for clarification. 

Gemini's  answer is SO ENCOURAGING!

Padlet Arcade's 'Create Game' function vs Gemini Canvas

 I used the new function 'Create Game' in Padlet Arcade to create a 'recognise correct spellings for 15 fruit words', which was very easy. I used the same prompt to create a similar one in Gemini Canvas, and I succeeded. Then how does Padlet Arcade's Create Game function compare with Gemini Canvas?  The answer:  As a dedicated 'create game' AI app, Padlet's new function has built-in parameters for you to choose from (e.g., 'add sound?'; 'add timer?"). Also, you can create very sophisticated games in Padlet Arcade, while with Gemini Canvas, you may have to spend time writing your requirements. Now the challenge is coming up with gaming ideas!

Padlet Arcade has a new 'Create Game' function: Very useful

 Using AI to create a language game could be time-consuming, as we have to grapple with writing the prompt properly. Padlet Arcade now has a 'create-game' function which makes things easy. Instead of writing the technical prompt precisely yourself, just tell 'create-game' what you want, and it will create the game for you. If the first output does not meet your expectations, just edit it.

The game below is my first try. It's for lower primary students to recognise the correct spellings for 15 fruit words.

https://arcade.padlet.com/game/RVjBY6PmrJ?link_shared=1

I'm an idiot in gaming, so this game is still very traditional. For those of you who are experts in gaming, I'm sure you can create highly sophisticated games using this new function of Padlet Arcade.