Flint

Use Case 1: Differentiated Learning at Scale

Problem: Teachers often struggle to cater to a classroom of 30+ students who all have different learning paces, interests, and prior knowledge. Providing one-on-one tutoring to a student who is struggling while simultaneously challenging a "high flyer" is nearly impossible in a traditional lecture format.

Solution: Flint’s AI tutor, Sparky, acts as a personalized teaching assistant that scales to every student. It uses teacher-uploaded materials (PDFs, slides, links) to explain concepts based on each student's specific skill level and interests, ensuring no one is left behind or bored.

Example: A Middle School Math teacher uploads a unit on fractions. While the teacher works with a small group, the rest of the class interacts with Flint. For a student who loves Minecraft, Flint explains equivalent fractions using "blocks" and "crafting recipes," while for a struggling student, it simplifies the language and provides step-by-step scaffolding until they grasp the concept.

Use Case 2: Guardrailed Essay Drafting and Peer-Level Feedback

Problem: When students use general AI tools for writing, they often ask the AI to "write the essay for them," leading to academic integrity issues. Furthermore, teachers cannot provide instant, line-by-line feedback to every student during the drafting process.

Solution: Flint allows teachers to set "Custom AI Guardrails" and upload specific rubrics (like AP or IB standards). The AI is programmed to refuse to write the essay for the student; instead, it provides evidence-based feedback, identifies areas for improvement, and asks probing questions to help the student refine their own work.

Example: An English teacher uploads a rubric for a narrative writing assignment. As a student drafts their essay in Flint, the AI provides inline citations and feedback like, "Your thesis is clear, but your third paragraph lacks sensory details required by the rubric. How could you describe the setting to make it more immersive?" The teacher can later review the entire conversation transcript to ensure the student did the work.

Use Case 3: Interactive World Language Immersion

Problem: Language learners often lack the opportunity to practice verbal conversation in a low-stakes environment. Classroom time is limited, and students are often too self-conscious to speak in front of peers, leading to poor retention of conversational skills.

Solution: Flint supports over 50 world languages with text-to-speech and speech-to-text capabilities. Teachers can set specific proficiency levels (ACTFL or CEFR) and create roleplay scenarios where the AI acts as a native speaker, pushing students to use their vocabulary in real-time dialogue.

Example: A Spanish teacher creates a "Marketplace Simulation." Students use their laptops or tablets to speak to Flint, which roleplays as a vendor in Madrid. The student must verbally negotiate the price of fruit. Flint transcribes the student's speech, responds verbally, and provides a summary to the teacher on the student's grammatical accuracy and fluency.

Use Case 4: Real-Time Formative Assessment and Lesson Pivoting

Problem: Teachers often don't realize a large portion of the class has misunderstood a concept until they grade a unit test, by which point it is too late to change the lesson plan.

Solution: Flint provides "Class-wide Summaries" and "Usage Analytics." By having students complete a brief AI-powered review activity at the end of a lesson, the tool automatically summarizes collective strengths and identifies specific "bottlenecks" where the majority of the class is struggling.

Example: After a Physics lesson on Newton’s Laws, a teacher assigns a 10-minute Flint activity. By 4:00 PM, the teacher reviews the "Class-wide Summary" which indicates that 70% of students are confused about "Inertia" but have mastered "Acceleration." The teacher then pivots the next morning’s lesson to focus exclusively on Inertia, saving time and improving test outcomes.