Live · 16 Lessons
Everyday Workplace & Data Delivery
AI Office & Productivity
Start from real tasks: master briefing, verification, email, meeting notes, table cleaning, chart reading, and reports.
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REALLIER AI LEARN · 5 SPECIALIZED TRACKS · SUB-TRACK DIRECT ACCESS · PRACTICAL OUTPUTS
Explore AI,starting from a real task today
Organized into five core tracks: AI Office & Productivity (16 lessons), AI Principles & Labs (16 code sandboxes), AI 3D Modeling & Assets (16 lessons), AIGC Visual & Media (ControlNet, ComfyUI, Video/TTS, AI Comic Drama), and AI Finance & Research.
Live · 16 Code Labs
Interactive Model & Agent Code Sandboxes
AI Principles & Labs
Zero-video live code sandboxes: neural function fitting, Transformer ablation, MoE & 1M KV-cache calculators, and raw Agent/MCP/Skill payload inspectors.
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Coming Soon · 16 Planned
ControlNet · ComfyUI · Video/TTS · Comic Drama
AIGC Visual & Media
Unifies 2D controlled generation, ComfyUI commercial visuals, AI video/voice synthesis, and AI comic drama into four specialized sub-tracks.
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Live · 16 Lessons
3D Gen · Retopology · PBR & GLB QA
AI 3D Modeling & Assets
From generated drafts to production-ready 3D assets: multi-provider generation, Blender bmesh topology QA, UV/PBR baking, and CAD-to-3D delivery.
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Coming Soon · 12 Planned
Filings Audit · Time-Series · Quant Assist
AI Finance & Research
For financial research and quant workflows: filing citation extraction, bull/bear report cross-checking, time-series cleaning, and risk controls.
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PICK 01
Find your first useful AI task
A task card: the goal, AI’s role, what you will prepare, and what you will check.
PICK 02
Turn a vague request into a clear brief
A reusable brief with a goal, audience, source material, requirements, and checks.
PICK 03
Prepare an email people can act on
A checked invitation draft and a pre-send list covering the missing registration method and contact.
PICK 04
Clean up a messy spreadsheet
A standardized table, a change log, and a list of blank fields to confirm with respondents.
PICK 05
Answer a workplace question with data
A calculation with explicit denominators, a chart recommendation, and a bounded conclusion.
01Principles & engineering
Everything is a function: from linear fit to giant classification
Tune weights and activations to fit curves, and switch output heads to see next-token prediction as 50,257-way classification
02Principles & engineering
How text becomes numbers: tokenization and high-dimensional embeddings
Compare tokenizer boundaries and drag the “Apple” vector in 2D space to compute live cosine similarity
03Principles & engineering
Training neural networks: loss, gradient descent, and parameter accounting
Tune learning rate to run live gradient descent and calculate exact Transformer layer parameter shares
04Principles & engineering
Attention mechanism: why a single word cannot predict the future
Compare 4 evolutionary stages of attention and drag the query vector to watch live weight pooling
05Principles & engineering
FFN and Linear Projection: the true compute and parameter workhorse
Toggle FFN expansion ratios (768→3072→768) and GELU activation to inspect feature filtering and vocab projection
06Principles & engineering
Positional encoding, residual, and norm: break the model via ablation
Flip off Positional Encoding, Residual, and Norm switches in the ablation lab to witness word-order blindness and deep signal collapse
07Principles & engineering
From Logits to the next token: Softmax, Temperature, and Top-P sampling
Adjust Temperature, Top-K, and Top-P thresholds and draw 20 live samples to see probability reshaping and tail pruning
08Principles & engineering
Pretraining & Few-Shot emergence: how next-token prediction builds a generalist
Generate parallel self-supervised training pairs from any sentence and switch 0/1/3-Shot prompts to observe in-context learning
09Principles & engineering
Post-training trio: SFT, Chain-of-Thought (CoT), and RLVR
Switch across Base, SFT, CoT, and RLVR stages on a business math problem to inspect output streams and accuracy
10Principles & engineering
Modern architecture evolution (Part 1): Sparse MoE and dynamic routing
Switch token domains in the MoE router sandbox to watch gated experts light up and audit compute savings
11Principles & engineering
Modern architecture evolution (Part 2): 1M context, KV Cache, and MLA
Drag the context slider (4K → 1M) and switch MHA, GQA, MLA, and Linear Attention to audit live KV Cache VRAM bills
12Principles & engineering
Compute, hardware, and quantization: GPU, SSD, and FP8/UE8M0
Switch precision formats and memory tiers (SSD, DDR5, HBM3e) in the sandbox to calculate live throughput and quantization error
13Principles & engineering
Demystifying chat & memory: stateless models, Context, and compression
Compare Stateless, Full-History Concat, and Summary Memory in the payload inspector to view the actual raw JSON sent to the model
14Principles & engineering
External knowledge & action protocols: RAG, Function Calling, and MCP
Toggle RAG evidence passages above and inspect Function Calling JSON interception and MCP discovery below
15Principles & engineering
Workflows, Skills, and Sub-agents: context isolation engineering
Switch across 4 orchestration patterns in the sandbox to compare main-window token consumption (48.5K vs 2.8K) and flexibility
16Principles & engineering
Frontier myth-buster: multimodal fingers, Computer Use, watermarks, and benchmarks
Experiment with vision patch compression, GUI accessibility tags, green-list watermark bias, and benchmark contamination in the 4-in-1 lab
Practice progress stays in this browser. Copy or download your work; save draft edits before leaving.
Four-Element Task Brief Template
Lock audience, key facts, format, and unknown rules upfront.
Internal Event & Notice Email Template
Subject + core schedule + deadline action + open placeholders.
Multi-Source Evidence Summary Template
Tag every claim with [Source A/B/C] and separate caps from spend.
Meeting Notes to Action Table Template
Split into settled facts, named owners/deadlines, and open gaps.
Spreadsheet Cleaning & Audit Log Template
Deduplicate with a log, standardize ISO dates, and preserve blanks.
16:9 Visual Card Brief Template
Enforce 3-tier hierarchy and forbid unconfirmed promotional badges.
AAI literacy & judgment
Understand capabilities, choose tasks, and assess results.
3 available
AI literacy & judgment
Understand capabilities, choose tasks, and assess results.
- A01AI and its products
- A02Tasks and delegation
- A03Checking reliability
- A04Data, permissions, and tools
BWorking with AI
Give clear instructions and improve the result.
4 available
Working with AI
Give clear instructions and improve the result.
- B01Writing a brief
- B02Preparing context
- B03Iterating and reviewing
- B04Breaking down and reusing
CEveryday office work
From email and meetings to tables and presentations.
5 available
Everyday office work
From email and meetings to tables and presentations.
- C01Email and documents
- C02Meetings and projects
- C03Spreadsheets and data
- C04Reports and presentations
DResearch & knowledge
Find evidence, make comparisons, and retain knowledge.
2 available
Research & knowledge
Find evidence, make comparisons, and retain knowledge.
- D01Search and research questions
- D02Reading, summaries, and evidence
- D03Comparing options
- D04Organizing knowledge
EContent & multimedia
Turn ideas into writing, images, audio, and video.
5 available
Content & multimedia
Turn ideas into writing, images, audio, and video.
- E01Ideas and writing
- E02Images and visual communication
- E03Audio and video
- E04Content projects
14 · Create a visual brief that fits the purpose ↗ D01 · Four Gaps Between AI Draft Meshes and Deliverable Assets ↗ D02 · Eliminating Back-Side Blind Spots with 2–4 Ortho Views ↗ D09 · Fixing Fragmented UVs: Smart UV Island Margins & Structural Seam Planning ↗ D11 · De-lighting & 4-Channel PBR Reconstruction for Real-Time Engines ↗
FRole-based projects
Combine skills in a complete workplace project.
1 available
Role-based projects
Combine skills in a complete workplace project.
- F01Sales and support
- F02Marketing and operations
- F03Administration, HR, and training
- F04Product, projects, and management
GWorkflows & small apps
Turn a reliable method into a repeatable workflow.
5 available
Workflows & small apps
Turn a reliable method into a repeatable workflow.
- G01Choosing what to automate
- G02No-code workflows
- G03Knowledge assistants
- G04AI-assisted small apps
D03 · DWG/DXF CAD to 3D White-Model: Millimeter Extrusion & Human Review ↗ D04 · Multi-Format Ingest: Normalizing GLB / FBX / OBJ / STL into V1 Baselines ↗ D07 · Deterministic Hard-Surface Ops: Why Bevels, Mirrors & Booleans Must Use Blender bmesh ↗ D12 · Local Generative Re-Texturing vs Full Re-Roll: Changing Livery Without Breaking Geometry ↗ D14 · Protected Parts & Manual Takeover Boundaries: Preventing Collateral Damage ↗
HPrinciples & engineering
Explore model mechanisms and application development.
23 available
Principles & engineering
Explore model mechanisms and application development.
- H01How models learn and work
- H02Application foundations
- H03Retrieval, tools, and agents
- H04Evaluation, deployment, and maintenance
01 · Everything is a function: from linear fit to giant classification ↗ 02 · How text becomes numbers: tokenization and high-dimensional embeddings ↗ 03 · Training neural networks: loss, gradient descent, and parameter accounting ↗ 04 · Attention mechanism: why a single word cannot predict the future ↗ 05 · FFN and Linear Projection: the true compute and parameter workhorse ↗ 06 · Positional encoding, residual, and norm: break the model via ablation ↗ 07 · From Logits to the next token: Softmax, Temperature, and Top-P sampling ↗ 08 · Pretraining & Few-Shot emergence: how next-token prediction builds a generalist ↗ 09 · Post-training trio: SFT, Chain-of-Thought (CoT), and RLVR ↗ 10 · Modern architecture evolution (Part 1): Sparse MoE and dynamic routing ↗ 11 · Modern architecture evolution (Part 2): 1M context, KV Cache, and MLA ↗ 12 · Compute, hardware, and quantization: GPU, SSD, and FP8/UE8M0 ↗ 13 · Demystifying chat & memory: stateless models, Context, and compression ↗ 14 · External knowledge & action protocols: RAG, Function Calling, and MCP ↗ 15 · Workflows, Skills, and Sub-agents: context isolation engineering ↗ 16 · Frontier myth-buster: multimodal fingers, Computer Use, watermarks, and benchmarks ↗ D05 · Mesh ER: Welding Duplicate Vertices, Clearing Loose Parts & Fixing Non-Manifold Edges ↗ D06 · From Triangle Soup to Quad Flow: Auto-Retopology & Vertex Budget Control ↗ D08 · Stable Part Segmentation & Node Hashing: Turning Monolithic Meshes into Addressable Assemblies ↗ D10 · High-to-Low Baking (Selected to Active): Cycles Color, Glossy & Normal Projection ↗ D13 · Screenshot Evidence & EditPlan: Turning Vague Feedback into Auditable Plans ↗ D15 · Automated Geometry & Spec QA: Enforcing Delivery Gates with glTF-Transform & Khronos Validator ↗ D16 · ChangeSet Audit Logs & Same-Camera Cycles Pixel Diff: Delivering with Evidence ↗