Saved subjects
12
Reusable setup next term
Built for tutors and lecturers, not generic AI chat
Mark faster, stay in control, and reuse your workflow every semester.
GradePilot turns assignment briefs, rubrics, and submissions into structured draft feedback with integrity review, reusable subject setup, and final human approval. It is designed to be simpler than using Turnitin, spreadsheets, and ChatGPT separately.
Saved subjects and rubrics
Draft feedback with tutor approval
Integrity check before final release
Product preview
Why users switch
Draft comments
48
Editable before finalizing
Integrity step
On
Checked before release
Current assignment
Essay 2 — Digital Media Strategy
Brief loaded, rubric parsed, submission reviewed, draft ready for tutor edits.
One guided workflow
Instead of juggling Turnitin, email, spreadsheets, and AI chat windows.
Final step
Tutor signs off
AI drafts, humans approve. That is the trust layer institutions care about.
Value proposition
Reusable marking system
Save subject settings, criteria, and common feedback once, then reuse them across future assessments.
Core edge
Brief + rubric + submission
GradePilot works from the full academic context instead of isolated essay text pasted into a generic chatbot.
Trust layer
Integrity before feedback
Similarity and AI-review checkpoints sit before final grading so tutors feel more protected.
Decision point
Human final approval
The system supports speed, but the tutor still owns the final mark and written response.
How GradePilot fits into real academic marking
Instead of being “just another AI grader,” GradePilot should feel like the operating system for tutor-led marking in higher education.
1
Load assignment brief
Bring in the instructions and assessment goals so feedback stays aligned with the task, not just the writing style.
2
Parse the rubric
Turn criteria into a structured scoring framework that supports consistency across multiple submissions.
3
Review integrity
Add similarity or AI-writing checks before feedback is generated or released to students.
4
Edit and finalize
The tutor reviews the draft, adjusts the marks, then approves the final output with confidence.
Why this can beat stronger opponents
Large tools already exist, so your advantage should come from cleaner workflow, higher trust, and better usability for tutors and smaller academic teams.
Simpler and less enterprise-heavy
Turnitin and Gradescope are powerful, but they are often institutional and workflow-heavy. GradePilot should feel easier to adopt for smaller teams and independent tutors while still keeping integrity review in the loop.
More complete academic context
Instead of focusing only on writing feedback, GradePilot should present itself as a full brief-to-rubric-to-submission workflow with reusable subject settings.
Structured, repeatable, auditable
Generic AI chat is flexible, but it lacks saved setups, integrity checkpoints, assignment structure, and consistent tutor-facing workflows.
The more they use it, the more useful it becomes.
That is the positioning you want. Each subject saved, rubric refined, and feedback pattern edited should make future marking easier, which creates long-term retention and a stronger moat against generic AI tools.
Business Communication 201Saved rubric, penalty rules, and feedback style for future use.
Marketing Strategy 301Assignment brief preserved with criteria mapping and past marking preferences.
Consumer Behaviour 202Integrity review step enabled before marks and comments are released.
The site should sell trust and workflow, not only AI speed.
Your older version already had good sections, but this improved direction makes the homepage more strategic: stronger differentiation, clearer audience fit, and more premium copy. That makes it feel less like a demo and more like a serious academic product.
Open product previewBuilt for the people who actually mark
GradePilot should clearly show who it helps, so the website feels more targeted and more credible.
T
Tutors
Reduce repetitive marking setup, generate first-pass feedback faster, and keep final control over grades and comments.
L
Lecturers
Standardize rubric use across subjects, maintain consistency, and keep a cleaner record of how assessments were marked.
C
Course coordinators
Support small academic teams with shared workflows, reusable criteria, and easier oversight of feedback quality.
Product features that matter
These are the areas that should stay central because they align with your strongest differentiation in the market.
R
Reusable subjects
Save subject structures, rubrics, and marking settings once instead of rebuilding them every time.
F
First-pass feedback
Generate editable draft comments that align with criteria and still remain under tutor review.
I
Integrity checkpoint
Bring integrity review into the same workflow so tutors do not need to jump between separate systems.
S
Structured scoring
Map rubric rows to marks and feedback so grading feels consistent, explainable, and repeatable.
H
Human approval
Keep the academic marker in charge of the final result, which is critical for trust and adoption.
A
Academic fit
Design the product around real university workflows rather than general classroom productivity alone.
Pricing that feels easy to start
The entry point should stay simple and low-friction so smaller educators can try the product before committing.
Free Trial
$0
Good for first-time tutors trying a single assignment.
- 1 subject
- 1 assignment
- Basic feedback draft
- Starter history
Tutor
$19/mo
Best for solo tutors and lecturers.
- Saved subjects and rubrics
- Draft feedback workflow
- Integrity review step
- Email support
Team
$49/mo
For small teaching teams and coordinators.
- Shared workflows
- More assignments
- Role access
- Priority support
Institution
Custom
For departments and larger rollouts.
- Custom onboarding
- Admin tools
- Training support
- Integration planning
What users need to trust first
These messages reduce hesitation and make the product feel safer than generic AI grading claims.
AI drafts, tutors approve
The website should clearly repeat that the final grade and feedback remain under human control.
Works from the full brief and rubric
This makes the product feel more academically grounded than a generic chatbot workflow.
Integrity review before release
This makes GradePilot sound more institution-ready and reduces anxiety around misuse or weak marking quality.
GradePilot is meant to keep the assignment brief, rubric, submission, integrity step, and final tutor approval in one structured workflow instead of relying on ad hoc prompting.
Yes. The product should support tutor control throughout the workflow so draft comments and marks can be reviewed before finalization.
Because GradePilot aims to combine setup, rubric use, draft feedback, and integrity review in one cleaner interface for smaller academic teams and solo educators.
The reusable subject setup, saved rubric logic, and accumulated marking workflow should make the system more valuable each semester.
Build a marking workflow people trust and keep using.
GradePilot should feel calmer, smarter, and more practical than generic AI tools. Start with one assignment, then grow into a full tutor workflow.