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.
07–16–24
https://www.asha.systems
ASHA: Calm Intelligence For Homes
Summary
ASHA is an ambient operating system that turns sensor signals and architectural cues into gentle, privacy-first actions so the home feels helpful, quiet, and human.
Core Problem
Homes are full of gadgets that nag, fragment attention, and leak data. People end up acting as the integrator while trust erodes and useful automations stall.
Goal
Make daily living feel lighter by automating light, climate, sound, and small cues in a way that respects consent, minimizes alerts, and works in the background.
Target Users
Design-forward households, elder care and wellness residences, boutique hospitality, and architects or developers who want invisible intelligence without surveillance vibes.
Core Solution
A local-first OS that learns routines, adapts the environment with smooth transitions, stores memories only with explicit consent, and stays quiet unless action truly helps.
Key Features:
Mode engine for different moments: Guardian, Hearth, Muse, Partner, Guide
Context Fabric that fuses radar, thermal, audio, energy and presence into simple states like occupancy and circadian phase
Restraint by default so inaction is a valid, scored choice
Policy and consent layer with clear prompts and audit trails
Memory types with control: short-term working context, per-person preferences, optional episodic archive
Edge compute ring that keeps sensitive processing inside the home
Device-agnostic control through bridges like Home Assistant and Matter
Gentle, architectural outputs: light, temperature, sound, haptics, and micro-nudges instead of noisy notifications
Design Challenge
Remove friction and alert fatigue while coordinating multiple people in one space. Earn trust through local processing, explicit consent, and explainable action.
Platform Impact
Reframes the smart home from app control to architectural intelligence. Lowers cognitive load, increases comfort and safety, and gives measurable wins like fewer manual tweaks and higher acceptance of suggestions.
Bigger Vision
A network of Havens that care for families across distance, where memory is by permission, privacy is standard, and help arrives with a whisper, not a siren.
#Agent
#Home
#Personality
#Empathy
#Physical
#AI
04–27–24
https://argus.attorney
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