An AI that doesn't just read
your script — it coaches you
StageMind AI is a speech coaching platform being built layer by layer — from rule-based NLP today, to a fully agentic real-time coach that listens, observes, and adapts to how you actually speak.
The AI stack — where we are & where we're going
We're transparent about every layer of the technology. Here's exactly what powers StageMind AI today and what we're building next.
Rule-based NLP Engine
A deterministic coaching engine built on linguistic pattern detection. Sentences are parsed for rhetorical questions, statistical claims, technical terminology, list structures, and positional weight (opening vs. closing). Each detected pattern maps to a curated delivery, gesture, and pause instruction — differentiated by coaching style (Confident, Persuasive, Storyteller). Fast, offline, and zero-latency.
LLM Coaching Layer
Replacing hardcoded templates with a large language model (Claude or GPT-4o) called with a domain-specific coaching prompt. The LLM will generate truly personalised feedback — understanding context, tone, speaker intent, and audience — instead of matching patterns. Each sentence gets coaching that's written for that specific line, not a template. The UX stays identical; the intelligence underneath becomes real.
Agentic Practice Loop
An AI agent that observes your rehearsal, not just your script. Using browser audio capture + Whisper transcription, the agent listens to you deliver your coached script, compares your actual pacing and emphasis against the coaching cues, and generates a delta report — "You rushed sentence 3", "You skipped the pause before the stat". The loop: coach → rehearse → observe → improve. This is what separates StageMind AI from a prompt wrapper.
Multimodal Voice Analysis
Moving beyond text into prosody analysis — measuring pace (words per minute), pitch variance, filler word frequency, pause duration accuracy, and vocal energy. The system builds a speaker profile over sessions: your baseline pace, your nervous patterns, your strongest and weakest delivery moments. Coaching then becomes adaptive — it knows you, not just your script.
Real-time Coaching Agent
A live overlay that listens as you present — in rehearsal or in the room — and surfaces micro-cues in real time: a subtle vibration when you're speaking too fast, a visual nudge to pause, a keyword highlight when you're approaching an emphasis moment. The agent operates with sub-200ms latency using on-device inference for privacy. This is the end state: an AI co-pilot that's present in the moment, not just in the preparation.
What does "agentic" actually mean here?
Most AI tools are one-shot: you input, it outputs, done. An agent is different — it operates in a loop.
Reads your script and listens to your delivery
Identifies gaps between coached intent and actual delivery
Generates updated coaching cues targeted at your weak points
Repeats — getting more accurate with every rehearsal session
Today (v0.1): the loop runs once, on text only. v0.3: the loop runs on your actual voice, closing the feedback gap between what you planned to say and what you actually said.
Who it's for
Built for anyone who speaks in front of an audience.
Students
Thesis defenses, viva voces, competition pitches — nail the delivery every time.
TEDx & Public Speakers
Structure your talk with professional pacing, pauses, and gesture cues.
Founders & Startups
Investor pitches, demo days, accelerator interviews — make your 3 minutes count.
Professionals
Job interviews, board presentations, client pitches — speak with authority.
What we believe
The principles behind every decision we make.
Honest about what's AI and what's not
v0.1 is a rule-based engine — fast, deterministic, and transparent. We're not pretending it's a neural network. Our roadmap is to earn the "AI" label incrementally, layer by layer, with real models doing real work.
The loop is the product
Static feedback is a document. Dynamic feedback is a coach. StageMind AI is built around a practice loop — coach, rehearse, observe, improve — because one-shot advice doesn't change how you speak. Repetition with feedback does.
Private by design
Your scripts, your voice, your delivery patterns — none of it leaves your session without your consent. We will never train on your content. When voice analysis arrives, on-device inference is the default.
Democratising delivery
Great presentation coaching costs ₹5,000–₹50,000 per session with a human coach. That's inaccessible to most students and early-stage founders. StageMind AI exists to make that coaching available to anyone with a script and an internet connection.
We're building this in public
Register for early access and you'll shape what gets built next. Every piece of feedback from early users directly influences the roadmap.