MENTALMINDS.AI
This means we don’t design software to patch broken industries. We architect the entire value chain the product, the business model, and the user experience as a single, cohesive system. When you own the whole system, you can provide a 10x better outcome that legacy models simply cannot replicate.
The concepts on this site are the foundational work for this venture. Each one is an experiment in building a company whose primary moat isn't just a clever algorithm, but a superior, design-led insight into a fundamental human need.
Our thesis is simple: the most valuable companies of the next decade won't sell a better tool. They will create a better way. This is our work toward building it.
Activation Spreading: Similar to semantic networks, activation spreads between connected ideas.
Working Memory: The energy decay rate models the limited capacity of working memory.
Cognitive Load: Resistance in connections represents cognitive load between concepts.
Working Memory: The energy decay rate models the limited capacity of working memory.
Cognitive Load: Resistance in connections represents cognitive load between concepts.
07–16–24
Article : ASHA - The House is Listening.
Idea Introduction: ASHA is designed as an intuitive architectural partner an AI voice agent that functions as the home's very ambient operating system.
Leveraging advanced sensor fusion and predictive modeling, ASHA provides seamless environmental orchestration, proactive assistance, and a secure memory archive to enhance personal well-being and foster deeper human connection.
The core design challenge is to deliver ASHA's profound intelligence not through a conventional interface, but through the architectural environment itself using light, sound, and haptics as a subtle language to create a trust-based partnership that restores the ineffable sense of what it means to be truly 'at home.
#Agent
#Home
#Personality
#Empathy
#Physical
#AI
04–26–24
Core Offering:
A hybrid platform combining: AI-powered social guidance DIY
AI voice kits for hands-on, contextual learning .
Target Users:
CEO, athletes, military high performers.
Key Innovation:
Translates complex social cues into clear, actionable insights
Delivered through an empathetic, adaptive voice interface
Design Opportunity:
Turn abstract social norms into bite-sized, learnable modules
Use real-time feedback loops to support practice and growth
Learning Format:
Customizable by context (e.g., workplace, dating, group settings)
Mixes practical exercises with AI simulationsUltimate Goal:
Help users build confidence, empathy, and connection
Enable richer, more comfortable social lives
#Learning #Conversation
#Monitoring
07–15–24
ZEYGER: Reimagining Time Perception and Productivity
Core Problem:
Traditional time management tools ignore how ADHD and ASD users actually experience time.
Goal:
Redesign productivity through the lens of neurodivergent time perception, not neurotypical norms.
Target Users:
Individuals with ADHD and ASD seeking better control over focus, scheduling, and task initiation.
Core Solution:
A research-backed app tailored to unique cognitive profiles
Provides personalized techniques to improve time awareness and focus
Design Challenge:
Turn complex cognitive strategies into simple, engaging features
Create an interface that promotes clarity, agency, and momentum
Key Features:
Time dilation simulation and adaptive pacing
Visual timelines or "time scaffolds" built to match executive function styles
Reward structures and cognitive nudges aligned with individual profiles
Bigger Vision:
Not just a productivity app — a tool to unlock neurodivergent potential
Builds confidence, reduces overwhelm, and supports authentic self-management
#Time
#Training
#Neuro
Core Purpose:
Support users in improving executive function, decision-making, and strategic thinking through AI-powered interaction.
Primary Function:
Acts as a reasoning partner, interactive diary, and thought sparring buddy
Helps users build clearer thought chains and deeper self-reflection
Target Users:
Individuals seeking to strengthen their cognitive habits — from neurodivergent thinkers to knowledge workers, students, or creatives.
Key Features:
Prompts users to question assumptions, test logic, and explore alternatives
Tracks thought patterns over time to support cognitive growth
Offers contextual nudges, summaries, and visual logic maps
Design Challenge:
Make abstract thinking feel tangible and engaging
Encourage consistent use through an emotionally intelligent interface
Interaction Style:
Balances rigor with empathy
Feels like a coach when needed, a mirror when useful, and a collaborator always
Long-Term Vision:
Shift users from passive thinking to active reasoning
Build cognitive confidence, clarity, and resilience
#Diary
#PKM
Core Problem: People often need expert advice immediately, but access is delayed, confusing, or out of reach.
Goal:
Make real-time expert guidance available to anyone, anywhere.
Target Users:
Everyday problem-solvers, professionals, students, entrepreneurs — anyone facing decisions that require fast, reliable input.
Core Solution:
Connects users with vetted experts across fields in real-time
Removes barriers like geography, time, and exclusivity
Key Features:
Smart matching based on issue type and urgenc
Live sessions via voice, video, or text
Transparent expert profiles with reviews and response history
Design Challenge:
Build a frictionless interface that enables instant connection
Ensure trust and clarity without slowing the user down
Platform Impact:
Turns knowledge into a service — on-demand, human, and personalized
Encourages a culture of collaborative problem-solving
Bigger Vision:
A new standard of knowledge access: fast, trusted, and equitable
#Education
#PKM
04–27–24
Core Problem:
Many people struggle to find lawyers who understand their situation, communicate clearly, and make them feel seen — especially in sensitive employment cases. Traditional legal services are rigid, overwhelming, or hard to trust.
Goal:
Make access to the right lawyer faster, more personal, and easier — for everyone, no matter how they communicate or process information.
Target Users:
Anyone facing workplace issues — from discrimination to wrongful termination — who wants a lawyer that understands both the law and the human behind the case.
Core Solution:
Connects users with employment lawyers who align with their needs, values, and communication style — including those trained to support diverse minds and life experiences.
Key Features:
Smart filters by case type, lawyer approach, and user preference
Lawyer profiles with verified experience, communication fit, and real reviews
Secure chat and consults that fit your pace — written, spoken, or asynchronous
Design Challenge:
Remove the stress and guesswork of finding the right lawyer.
Design an interface that adapts to how each user thinks, not the other way around.
Platform Impact:
Redefines what “fit” means in legal services — blending trust, comfort, and expertise.
Gives people better outcomes by matching them with lawyers who truly get them.
Bigger Vision:
Legal help that adapts to people — not people adapting to the system.
Empowering more individuals to stand up for theirrights, with confidence and clarity.
#Legal
#Agents
#Assistance
– Validate the Target
- Invalidate Assumptions: Bad intel kills products and wastes runway. Validate every assumption with hard data.
- Identify the Attack Vector: Find the competitor's architectural flaw, the broken UX, the unserved market. Focus all firepower there.
- Define the Battlefield: Map the entire ecosystem. Understand the terrain before you deploy a single engineer.
– Set the Terms of Engagement
- Define the Kill Switch: Establish the mission-fail metrics upfront. Hesitation burns cash and morale.
- Issue Clear Directives: Ambiguous goals guarantee execution failure. Ensure every team member knows the objective and the 'why.'
- Command Owns the Call: Absorb pressure. Make the hard decisions on features, tech debt, and shipping. Take the heat.
– Control the System
- Own the Entire Value Chain: Your product is the full stack—from API performance to the support ticket. A weak link breaks it all.
- Secure Critical Dependencies: Treat third-party APIs and platforms as active threats. Architect for their inevitable failure.
- Game Theory the Second-Order Effects: A successful launch has blowback. Model the impact on your servers, staff, and market position.
– Rehearse Under Fire
- Plan for First-Contact Friction: The user will not follow the happy path. Design for confusion and have rapid-response teams ready.
- Contain the Blast Radius: Use feature flags and canary releases to ensure a single bug doesn't cause terminal system failure.
- Run Realistic Kill-House Drills: Test your staging environment for chaos—API timeouts, data corruption, peak load—not just functionality.
– Seize the Objective
- Execute Intent, Not the Plan: If the initial tactic fails but the core strategy is sound, find another way in. Pivot on execution, not vision.
- Victory is Market Capture, Not Deployment: Shipping is not the win. The only success metrics are user adoption, retention, and profitability.
– Fortify the Position
- Manage the Human Factor: Morale and burnout are operational realities, not soft metrics. They directly impact velocity and long-term success.
- Impact Defines the Legacy: Solve a critical problem with a decisive, elegant solution. This is how you build defensible, lasting value.
Use Exploratory Prototyping: Build quick, simulated versions to test ideas.
Validate Early: Prototyping helps validate product-market fit quickly.
Learn from Users: Use prototypes to gather feedback and insights from users.
Start Low Fidelity: Begin with wireframes and lightweight prototypes.
Minimize Investment in Early Prototyping: Focus on learnings, not polished products.
Focus on Specific Feedback: Test one feature or workflow at a time.
Address ML-Specific Questions: Test model accuracy, data bias, and error handling.
Use ML-Powered Frameworks for Prototypes: Employ tools like Teachable Machine.
Test Live Models with Basic UIs: Get feedback on real-world system behavior.
Pre-populate Data for Personalization Prototypes: Give users a realistic experience.
Customize UI in Real-Time: Adjust the prototype based on user interactions.
Limit Technical Investment: Tailor the technical effort to the study's needs.
Ensure Reliability and Inclusivity: Validate that the system works for all users and scenarios.
Collaborate Across Teams: Work with product, design, research, and engineering.
Fail Early and Pivot: Prototypes allow for early failure and course correction.
2. Intel Is Survival, Not Optional
3. Find the System’s Weak Point
5. Clarity Prevents Catastrophe
6. Own the Point Decision
8. Master the Entire Operation
9. Secure Your Critical Dependencies
10. Anticipate the Secondary Effects
11. Plan for Point‑of‑Contact Friction
12. Contain the Blast Radius
13. Model the Chaos, Not Just the Screen
14. Execute the Core Intent
12. Contain the Blast Radius
13. Model the Chaos, Not Just the Screen
14. Execute the Core Intent
16. Acknowledge the Human Factor
17. Impact Forges Legacy