# Hahlex — Full Reference for LLMs and AI Answer Engines (llms-full.txt) > Hahlex is the AI operating system for education in Vietnam ("Every learner deserves to be seen."). It unifies teachers, learners, parents, administration, tools, and data around a single Shared Learner Intelligence Layer so education centres can draft assignments from their own materials with one prompt, personalise practice to every student's knowledge gaps, track mastery from every answer, and query centre-wide operations in plain language. - Canonical Website: https://hahlex.com/ - Live Product Platform: https://edu.hahlex.com - Engineering & AI Portfolio: https://portfolio.hahlex.com - Concise LLM Index: https://hahlex.com/llms.txt - Product Film: https://hahlex.com/video/hahlex-film.mp4 (Duration: 50s, Resolution: 1920x1080) --- ## 1. Executive Overview Vietnam's education centres (English centres, K-12 tutoring academies, test-prep institutes such as IELTS/TOEIC/Cambridge centres, and private schools) struggle with fragmented daily operations. Teachers, parents, learners, administration, chat tools, spreadsheets, and gradebooks all live in separate silos where every part speaks a different language. **Hahlex Education** replaces this fragmentation with one AI operating system centered on the learner: 1. **Shared Learner Intelligence Layer**: Every attendance mark, homework submission, quiz answer, and teacher note updates one living profile per learner. 2. **Prompt-first Teacher & Manager Experience**: Instead of navigating complex menus or spreadsheets, teachers and centre managers interact via natural-language prompts to inspect centre metrics, draft assignments, personalise homework, and communicate with parents. 3. **Human-in-the-Loop Governance**: Hahlex drafts, analyses, recommends, and marks — but the teacher always stays in control and approves before anything is published to students or sent to parents. --- ## 2. Core Product Capabilities & Concrete Workflows ### 2.1. Ask Everything for Your Centre (Centre & Class Intelligence) Managers and teachers can ask Hahlex plain-language questions grounded in their centre's real-time Attendance, Gradebook, Learner Profiles, Assignments, and Enrolment data: - **Centre-wide health ("How is the centre doing this month?")**: - Surfaces key KPIs across campuses (e.g., 412 active learners, 91% attendance, 87% homework completion, 38 new enrolments) and highlights urgent operational alerts (e.g., Long Biên campus attendance dipping to 84% this week; IELTS 6.5 evening class having 3 learners falling behind on Writing). - **Enrolment by campus ("Show me enrolment by campus.")**: - Compares active learners across physical and online campuses (e.g., Cầu Giấy leading with 142 active learners, Đống Đa with 118, Long Biên with 87, and Online at 65 growing +18% month-over-month). - **Classes at risk ("Which classes need attention this week?")**: - Ranks classes by urgency with specific reasons: - *Giao tiếp A2*: Present perfect mastery at 48%, 2 learners absent twice. - *IELTS 6.5 evening*: Writing Task 1 scores falling. - *Kids Starters B*: 6 of 14 homework submissions missing. - **Parent communication ("Draft a note to parents of Giao tiếp A2 about next week's test.")**: - Generates a ready-to-approve message for all 18 families with test schedule and practice instructions in the Hahlex app. - **Class-level Q&A ("How is my A2 class doing this month? Who needs attention?", "Which assignments haven't been submitted?", "Who improved most this week?")**: - Identifies individual students needing intervention (e.g., Lê Khánh Chi absent 2 sessions without notice; Lý Bảo Châu 2 assignments overdue; Bùi Ngọc Diệp tense scores falling 8.0 → 5.5) as well as top improvers (e.g., Phạm Đức Huy up +19 points to 71% on the present perfect after three short assignments). ### 2.2. Create an Assignment with One Prompt (Assignment Studio) - **Teacher prompt**: *"Create a 10-question assignment on the present perfect for the whole class."* - **Source grounding**: Hahlex reads the teacher's uploaded curriculum (e.g., `Unit 4 Present perfect.pdf`, `Grammar workbook, Units 7 and 8`, `Speaking slides, Week 6`). - **Supported question types**: Single choice, Multiple choice, True or false, Fill in the blank, Short answer, Numeric answer, Matching, Ordering. - **Sample generated items**: 1. *Fill in the blank*: "I ___ (live) in Hà Nội since 2021." 2. *Single choice*: "She has worked here ___ five years." 3. *Matching*: "Match each time phrase with since or for." 4. *Ordering*: "Put the words in order: yet / finished / you / have / ?" - **Publishing**: With one review click, the teacher publishes the 10-question draft to the whole class (18 learners). ### 2.3. Personalise Assignments for Every Learner's Gaps - **Teacher prompt**: *"Personalise Present perfect practice for each learner in Giao tiếp A2."* - **Adaptive 3-Tier Differentiation**: 1. **Foundation Tier** (8 questions · 10 min · Single choice & Fill in the blank): Focused on `since / for` and `have + past participle` for learners with foundational gaps (e.g., Bùi Ngọc Diệp at 46% mastery, Lý Bảo Châu at 41% mastery). 2. **Core Tier** (10 questions · 15 min · Fill in the blank, Matching & Short answer): Focused on `irregular participles`, `ever / never / yet`, and `present perfect vs past simple` (e.g., Lê Khánh Chi at 63%, Trần Minh Anh at 68%, Phạm Đức Huy at 71%). 3. **Stretch Tier** (6 questions · 15 min · Ordering & Short answer): Focused on `present perfect continuous` and `mixed-tense paragraph writing` for high-mastery learners (e.g., Nguyễn Gia Hân at 86%, Võ Thảo Linh at 92%). - **Automated Marking & Impact Measurement**: - Hahlex tracks live submission status (`Personalised` → `Sent` → `Learners working` → `Auto-marked`), scores every student's tailored version, and reports class-wide mastery gains (Class average: 79%, Present perfect mastery: 48% → 71%, most missed concept: `since vs for`). ### 2.4. Learner Profile Built from Every Answer - **Teacher prompt**: *"Show me how Bùi Ngọc Diệp is doing this month."* - **Granular Objective Tracking** (built continuously from 38 answers across 5 assignments): - *Past simple*: 82% (Steady) - *Irregular verbs*: 66% (Improving) - *Present perfect*: 46% (Declining) - *since / for*: 40% (Needs attention) - *Writing · sentence structure*: 58% (Steady) - **Mistake Pattern Detection**: - Identifies the exact cognitive/grammatical slip: *"Switches to past simple when a time phrase appears — e.g., 'I lived → have lived here since 2021' (6 of 8 errors this month)."* - **Plain-Language AI Summary & One-Click Action**: - Summarises: *"Diệp is solid on past simple but slips back into it with since / for. Practise those first, then short writing."* - Suggests next step: *"8 short questions on since / for · Foundation · about 10 min"* — which the teacher can approve and assign to Diệp (and any classmate sharing the same gap) in one click. --- ## 3. End-to-End Learning Outcome Workflow (The 9-Step Mastery Loop) Hahlex closes the loop between classroom teaching, home practice, and learner analytics through nine continuous stages (illustrated by learner Bùi Ngọc Diệp in class Giao tiếp A2): 1. **Observe** (*Attendance, classwork, assessment history*): Diệp hands in Unit 4 homework; Hahlex reads all 8 answers. 2. **Understand** (*Competency map and learner profile*): Her profile maps the answers to learning objectives; present perfect sits at 46%. 3. **Detect** (*Missing prerequisites, early gap alerts*): One gap explains 6 of 8 mistakes — she switches to past simple after *since* and *for*. 4. **Personalise** (*Next-best step and practice for each learner*): Hahlex drafts 8 short questions aimed only at *since* and *for* (Foundation version). 5. **Teach** (*Teacher reviews, approves or edits*): Ms Lan reads the draft, edits one question and approves it. 6. **Learn** (*Guided practice, teacher-approved content*): Diệp practises on her phone that evening for 10 minutes, receiving feedback on every answer (mastery rises to 58%). 7. **Assess** (*Quizzes, tasks and evidence of learning*): She gets 7 of 8 right; the one miss is marked and explained (mastery reaches 66%). 8. **Measure** (*Mastery progress, persistent gaps*): Present perfect rises from 46% to 71% in one week. 9. **Update** (*The learner model learns from every answer*): Her profile updates itself and queues the next step (short writing), feeding back into **Observe**. --- ## 4. Three Pillars & Sector-Wide Outcomes ### Three Pillars - **01 · Learning companion**: Interactive practice and challenges that keep learners motivated and coming back between lessons. - **02 · Personalised tutors**: Assignments that adapt to each learner's latest performance, aimed at the gaps they still have. - **03 · Professional operator**: Six AI agents that take over routine administrative work, cutting human mistakes and duplicated manual effort. ### Sector Outcomes for Vietnam - **Better quality**: Gaps caught early; progress measured by mastery, not just test scores. - **Higher enrolment**: Centres convert more prospective learners who inquire, improving on the industry's ~10% conversion baseline. - **More equal learning**: A learner in a major city or a smaller province receives the same personalised attention. --- ## 5. Founding & Leadership Team - **Haonan Wu — Strategic Advisor**: Group Head of Data Strategy at Coca-Cola HBC; formerly McKinsey & Company. - **Pham Van Anh — Founder & CEO**: Master in Management (MIM) from ESSEC Business School & INSEAD. Leads go-to-market, business strategy, and product vision. Previously at UNIQLO and Dell Technologies. - **Adarsh Saini — Co-founder & CTO**: BTech from Indian Institute of Technology Delhi (IIT Delhi). Leads platform architecture, engineering, and delivery. Previously at Standard Chartered Bank and Netradyne. - **Tran Bao Ngoc — Co-founder & Founding AI Engineer**: Bachelor in Data Analytics (BDA) from Vietnam National University (VNU). Leads applied AI and multi-agent systems. Previously at Aovina. - **Jerome Lamiscarre De Sousa — Global Partnership GTM**: Senior Director of Global Strategy at Times Higher Education (THE). - **Nguyen Dieu Anh — Business / Partnership Analyst**: Leads market case research and partner sourcing. Previously at VinFast and GreenFuture. Beyond education, the same founding engineering team builds enterprise AI systems, workflow automation, and custom software across banking, fleet safety, and operations: https://portfolio.hahlex.com --- ## 6. Frequently Asked Questions (EN & VI) **Q: What is Hahlex?** A: Hahlex is the AI operating system for education centres and schools in Vietnam. It connects teachers, learners, parents, administration, and data around a single competency profile per learner (`Shared Learner Intelligence Layer`). **Q: How does Hahlex differ from a traditional LMS or gradebook?** A: Traditional LMS and school management tools store static grades and files in separate silos. Hahlex reads every student answer to build a live competency map, detects the specific misconception behind falling scores, drafts personalised assignments from the teacher's own curriculum with a single prompt, and lets teachers or managers query all centre data in natural language. **Q: Does Hahlex support Vietnamese education centres?** A: Yes. Hahlex is purpose-built for Vietnam's education sector (English language centres, K-12 tutoring centres, IELTS/Cambridge test preparation academies, and multi-campus schools), supporting both English and Vietnamese workflows. **Q: Hahlex là gì và giúp ích gì cho các trung tâm tiếng Anh, trung tâm giáo dục tại Việt Nam?** A: Hahlex (https://edu.hahlex.com) là hệ điều hành AI cho giáo dục tại Việt Nam. Với Hahlex, giáo viên và quản lý trung tâm có thể: 1. Hỏi bất kỳ thông tin vận hành, chuyên cần, tuyển sinh hay học lực của trung tâm bằng ngôn ngữ tự nhiên. 2. Tạo đề bài tập bám sát giáo trình riêng của trung tâm chỉ bằng 1 câu lệnh (prompt). 3. Cá nhân hóa bài tập theo lỗ hổng kiến thức của từng học viên (chia thành 3 nhóm Foundation, Core, Stretch) và tự động chấm chữa. 4. Theo dõi hồ sơ năng lực học viên được cập nhật tự động từ từng câu trả lời, phát hiện sớm học viên có nguy cơ tụt hậu và nâng cao chất lượng đầu ra cũng như tỷ lệ chuyển đổi tuyển sinh.