AI Instructional Design Tool
Design effective lessons and learning experiences fast
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Does your activity actually teach the thing your test measures? Three parts of a lesson can each be excellent on their own and still point in different directions, and when that happens students do well in the room and badly on the paper.
Alignment is the whole job of instructional design. Objective, activity and assessment have to be about the same thing, checked deliberately rather than assumed.
Short answer: The AI Instructional Design Tool is a free tool that designs how learning happens and checks that the pieces line up. You give it the objective and the constraints, and it returns activities, sequence and assessment that point at the same outcome.
What is AI Instructional Design Tool?
It designs the middle of the lesson. Not what students should be able to do, which is an objective, and not the mark scheme, which is assessment, but the experience between them: what learners encounter, in what order, doing what.
Why Use AI Instructional Design Tool?
Because misalignment is invisible from inside a lesson that is going well.
| What is misaligned | How it looks in the room | What surfaces later |
|---|---|---|
| Objective says analyse, activity practises recall | Busy, successful, cheerful | Analysis questions collapse |
| Assessment written after teaching | Nothing wrong at all | Marks for content nobody emphasised |
| Activity teaches the example, not the rule | Correct answers throughout | Any new case fails |
| Group task where one student does the thinking | Good outcomes per group | Individual assessment much weaker |
Who Should Use It?
- Instructional designers building courses for other people to teach
- Teachers whose class performs better in lessons than in tests
- Trainers designing sessions that must demonstrate outcomes
- Course leaders reviewing why a unit consistently underperforms
- Anyone writing material that somebody else will deliver
How Does AI Instructional Design Tool Work?
The site runs every tool on one working surface, with content production behind this button.
- Prompt box. The placeholder asks for your topic, details or requirements. Lead with the objective, then the constraints, then the content.
- Model selector. The engine is chosen before generating: MSB AI, OpenAI ChatGPT, Google Gemini, Anthropic Claude AI, xAI Grok AI, DeepSeek, Qwen, Meta AI, NVIDIA AI, OpenRouter AI and MiniMax.
- Advanced options. Ten controls behind the accordion, described below.
- Generate. Objective, constraints and settings go into the prompt layer built for structured content.
- Result card. The design appears with a running word count under it.
- Export row. DOC, TXT and HTML. DOC matters here, since designs are handed to other people to deliver.
- Activity history. Earlier designs stay available with copy, listen, reuse, download and open result, which is useful across a series of sessions.
Step-by-Step Guide
- Write the objective first, in observable terms.
- State how the learning will be assessed.
- Add the constraints: time, group size, equipment, delivery mode.
- Ask for activities that practise the objective's verb, not a lower one.
- Ask explicitly for an alignment check between the three parts.
- Generate, then read the alignment note before the activities.
- Change the activity, not the objective, if they do not match.
Before a design is handed to anybody, confirm that:
- ✅ The activity practises the same verb as the objective
- ✅ The assessment tests that verb too
- ✅ Every learner has to think, not just each group
- ✅ The rule is taught, not only an example of it
- ✅ Someone else could deliver it from the document
Key Features
Alignment as an output
Ask for it and the design states how each activity connects to the objective and the assessment.
Sequenced, not listed
Step by Step output orders the learner experience rather than offering a pile of possible activities.
Audience aware
Eight audience settings, which changes the design substantially between a school class and a workplace cohort.
Reusable design pattern
Template output produces a session shape you can apply across a whole course.
Written to be delivered
Clear structure and examples together produce something a colleague can teach from without asking you questions.
Advanced Options Guide
Ten controls. Output Type and Detail Level decide whether the design is deliverable or merely interesting.
| Option | What it controls | Setting for design work |
|---|---|---|
| Output Type | Standard, Detailed, Concise, Structured, Template, Step by Step, Professional or Creative | Step by Step, or Template for a course wide pattern |
| Tone / Style | Professional, Formal, Friendly, Simple, Academic, Persuasive, Confident or Neutral | Professional, since a colleague reads it |
| Length | Short, Normal, Long or Detailed | Normal. Short drops the alignment reasoning |
| Focus / Audience | Students, Teachers, Parents, Self Learners, Beginners, Exam Candidates, Tutors or General | Teachers, since they deliver it |
| Include Examples | Adds worked activity examples | On. A design without examples gets interpreted freely |
| Use Clear Structure | Separates stages and roles | On |
| Include Key Points | Pulls out the non negotiable parts of the design | On, so a deliverer knows what cannot be dropped |
| Age-Appropriate Language | Adjusts wording | Off, unless learners read the design |
| Detail Level | Slider from 1 to 100 | Around 65. Designs need specifics |
| Custom Instructions | Free text up to 1000 characters | The objective, the assessment, the constraints and a request for the alignment check |
Example Outputs
Tomás designs sessions delivered by six different trainers. He opens the AI Instructional Design Tool and leads with the objective and the test.
Objective: participants can identify which of three
escalation routes applies to an incident and justify the
choice.
Assessment: five written scenarios, marked on the route
chosen and the justification.
Constraints: 45 minutes, 12 to 20 participants, delivered
by six trainers of varying experience, one room, no
technology beyond a screen.
Output Type = Step by Step
Tone / Style = Professional
Length = Normal
Focus / Audience = Teachers
Include Examples = On
Use Clear Structure = On
Include Key Points = On
Age-Appropriate Language = Off
Detail Level = 65
Custom Instructions = Every activity must practise
choosing and justifying, not recalling the three routes.
State for each activity which part of the objective it
serves. Flag anything a less experienced trainer might
deliver as a lecture by mistake.
The design came back as three rounds of scenario sorting with justification required out loud, and the alignment notes said which part each round served. The final instruction produced the most useful line in the document: a warning that the opening explanation of the three routes could easily expand into the whole session, which is exactly what an inexperienced trainer does when the room is quiet.
Pro tip Give it the assessment before the content. Designing towards a known test is the single most reliable way to get alignment, and designing the content first and the test afterwards is how misalignment gets built in.
Note Design depends on a decent objective. If yours contains understand or be aware of, there is nothing to align to, and the AI Learning Objective Builder is the step before this one.
Caution A design that reads well can still fail with real learners, and nothing here has met your group. Pilot it once, watch where the room slows down, and treat the first version as a draft rather than a specification.
Comparison Table
Three tools in the design chain, and each one assumes the previous has been done.
| Tool | What it decides | Position |
|---|---|---|
| AI Learning Objective Builder | What learners will be able to do | Before design |
| AI Instructional Design Tool | How they get there | The design itself |
| AI Assessment Creator | How you check they arrived | Alongside the objective |
What works well
- Checks activities against the objective's verb
- Designs towards a known assessment when you supply it
- Flags where a deliverer might drift into lecturing
- Free to use, with no account needed
What to watch for
- A weak objective leaves nothing to align to
- It has never met your learners
- Detail set low produces a design open to any interpretation
- The first version needs piloting before it is a specification
AIToolsay is a free platform with a large library of AI tools, and this one sits in the teaching and curriculum group. Every tool covers a single job, brings its own controls, and runs on prompt engineering written for it, which is why a design tool returns a sequence with alignment notes while a lesson tool returns a lesson. Nothing installs and no account is needed. The engine list holds MSB AI, OpenAI ChatGPT, Google Gemini, Anthropic Claude AI, DeepSeek and more, and comparing two designs for the same objective is a fast way to see which activities are load bearing. The wider set is one click away on the AIToolsay homepage.
Frequently Asked Questions
Is the AI Instructional Design Tool free?
Yes, and nothing needs registering first.
What does alignment actually mean here?
That the objective, the activity and the assessment all concern the same skill at the same level. Misalignment is why lessons go well and tests do not.
Should I write the assessment before the design?
Yes. Designing towards a known test is the most reliable route to alignment, and the reverse order is how misalignment happens.
Can somebody else deliver what it produces?
That is the intention. Keep Include Key Points on so a deliverer knows which parts cannot be dropped.
How is this different from a lesson plan?
A lesson plan covers one hour of teaching. A design covers the learning experience and its alignment, often across several sessions.
Does it work for online delivery?
Yes, and say so, since activities that work in a room frequently do not survive being moved to a screen.
Good teaching that is pointed at the wrong target is one of the quieter ways a course fails. Checking the three pieces against each other takes a paragraph and saves a term.
So open the AI Instructional Design Tool, hand it the objective and the assessment before the content, and ask which part of the objective each activity actually serves. Thanks for reading, and I hope the pilot goes smoothly. If it earns a place in your design work, the AIToolsay community is open to you, our social accounts announce each new tool, push notifications arrive first, and the newsletter carries guides in this same voice.
Let AI Speak.