The stuck point
The learner explains the task, what they have tried, and the exact moment where understanding breaks down.
A guided homework mode for understanding instructions, identifying missing knowledge, receiving proportionate hints, and practicing a related task. The current experience uses sample outputs only.
I understand the definition of osmosis, but not why water moves in this example.
Compare the concentration of water on both sides of the membrane, connect that difference to net movement, and use one check question before revealing the full explanation.
Homework support becomes more useful when it distinguishes between unclear instructions, missing background knowledge, a method error, and simple lack of practice. Boardesa is designed to identify that gap before choosing how much help to provide.
Each workflow is designed to turn context into a response the learner or educator can inspect, adapt, and use.
The learner explains the task, what they have tried, and the exact moment where understanding breaks down.
The workflow chooses a definition, hint, example, question, or short explanation instead of immediately completing the assignment.
The learner receives a related step or practice prompt that can be attempted without copying the original answer.
Every mode uses a workflow that can be understood, checked, and improved. The user remains responsible for the final decision and any high-stakes verification.
Restate the instruction in plain language and identify what the final work must demonstrate.
Separate missing vocabulary, background knowledge, procedure, and reasoning errors.
Offer the smallest useful intervention first, with the option to reveal more structure.
Finish with a similar question or explanation check so the learner does the next piece of work.
A useful request tells the helper where the learner is—not only what the assignment says.
No response is sent to an AI provider. This builder only demonstrates how context will be framed.
This is a science homework task. Explain the instruction, then ask me questions rather than completing it. Show one example only if I remain stuck, and finish with a short practice check.
The current experience is a product preview. These use cases define the intended scope for later secure AI implementation.
Concept explanations, process reasoning, evidence questions, and careful use of definitions.
Source interpretation, comparison, argument planning, chronology, and contextual understanding.
Grammar explanations, vocabulary in context, reading comprehension, and revision prompts.
Breaking down instructions, planning a response, checking work, and preparing for teacher feedback.
These criteria describe the intended product standard. They do not claim that an unconnected demo already performs live AI processing.
The response reflects the actual instruction and expected output.
Help begins from what the learner has already tried.
Support is neither so small that it is useless nor so complete that it replaces the work.
The tool does not invent facts that should come from assigned material.
Every response gives the learner a concrete next move.
A related question confirms whether the idea can be used independently.
01 Outputs should be reviewed against source material, course rules, and professional judgment.
02 Future API keys, uploads, and model calls will remain behind protected backend infrastructure.
03 The interface will distinguish user input, source material, generated guidance, and final decisions.
04 Demo interactions on this page stay in the browser and do not contact an AI provider.
This page describes the planned capability. Live AI processing is not enabled in the current MVP.
The direction is broad education support. Reliability will depend on the connected model, the source material, and the specificity of the task.
The intended design is guided support rather than unexamined answer generation.
Yes. Teachers and tutors can use the same structure to create explanations, examples, and practice questions.
Secure source input is planned for a later version. The current MVP does not process uploads or external documents.
As a conversation aid: clarify the task, ask the learner to explain their thinking, and use generated examples only after checking them.
Explore the local workspace demo now. Secure AI processing and billing will be connected only after the product experience and protection layers are ready.