Design pattern · A of D
Editorial
Magazine grid · thin rules · restrained type
Adam Rappaport / Mentis / Enterprise AI tech wizard
I help leaders, teams, and builders move from AI theatre to shipped capability: clearer strategy, sharper workflows, working agents, better demos, and the confidence to actually use the stuff.
$ mentis.audit('where AI is stuck')
$ mentis.ship({ strategy, agents, adoption })
=> outcome: capability people actually use
Enterprise AI
Data#3
Research signal
GAI Insights
Builder school
Vibe Academy
Stage presence
JuiceIT & GAI World Annual Conferences
Why people listen
The best AI work needs someone who can read the boardroom, inspect the workflow, build the demo, challenge the output, and teach the team what changed. Data#3 is the day job. GAI Insights is the night signal. The side quests are where the hands stay sharp.
20+ yrs
enterprise customer, success, and tech context
3 shifts
Data#3 by day, GAI Insights by night, side quests always
1 bias
ship something useful before the hype cools
Data#3 by day
Currently helping stand up AI practice across the Microsoft ecosystem: Copilot, Copilot Studio, Azure AI, Power Platform, security, adoption, and the human reality between them.
GAI Insights by night
Cofounder and research analyst translating daily AI news, buyer guides, vendor shifts, and executive conversations into signal leaders can actually act on.
Mentis labs
Mobile games, event activations, editors, workflow tools, AI art showcases, and training systems. The pattern is simple: curiosity becomes a working artifact.
Vibe Academy
Turning field experience into training that makes builders braver, more discerning, and more useful inside real organisations.
Side quests
These are the projects that happen above and beyond the formal roles: small enough to move fast, real enough to prove taste, judgement, and shipping muscle.
Mobile games
01Playful systems for testing physics, loops, performance, and mobile feel.
Event activations
02Conference-ready experiences that turn attention into participation.
Builder tools
03Useful interfaces for turning messy work into something repeatable.
Ways to work together
If the question is AI strategy, capability, prototypes, adoption, or making your team feel brave enough to build, there is a useful first conversation here.
For leaders and teams
Clarify the opportunities, kill the vague hype, and turn Copilot, agents, and workflow automation into a practical adoption path.
Leave with: priority map, pilot shape, and internal story.
For founders and operators
Take the messy idea, rough workflow, or half-built demo and turn it into a working artifact people can react to.
Leave with: prototype, next build loop, and sharper product logic.
For events and capability programs
Bring an operator-builder voice into the room: grounded enough for executives, playful enough to wake people up.
Leave with: energy, examples, and practical confidence.
Unsure which one you need? Bring the mess. That is usually enough.
Shipped proof
The work is deliberately broad: AR field tools, browser agents, AI content systems, games, demos, and workflow engines. Range is the point. It means I can find the useful pattern faster.
WebAR app for laying out Ultimate Frisbee fields with GPS precision and AR overlays.
Proof that AI-era builders can fuse physical-world pain with spatial interfaces.
3D bird flight game on a spherical world with realistic flight physics.
A playful physics lab for web-native 3D, motion, and feel.
AI-powered growth tools and automation workflows for X engagement.
Turns social workflow friction into assisted growth loops.
Away From Host automation - intelligent X engagement with vision AI analysis.
Explores agentic attention, scheduling, and vision-assisted context.
AI video generation and remixing platform with intelligent editing workflows.
A media workflow experiment for remixing and AI-assisted iteration.
Algorithm-optimized post creation tool based on X's recommendation system.
Packages platform logic into a practical creative tool.
Vibe Academy
Vibe Academy is where the tech-wizard side becomes teachable: live building, critique, tools, judgement, and enough mischief to make the work stick.
Get the builder signal
Join the Vibe Academy list for the next opening, field notes, and practical AI build prompts.
01
No passive content treadmill. Every sprint points toward something visible, testable, and explainable.
02
Brief the model, inspect the output, improve the workflow, recover from weirdness, and know when to trust your own judgement.
03
The work should help you in public, in interviews, in your team, and in the room where people ask what you can actually do.
04
The best builders stay playful without getting sloppy. The Academy keeps both parts switched on.
Research signal
Useful AI judgement comes from pattern recognition: what buyers ask for, what vendors promise, what actually works, and what builders discover when the demo meets reality.
In 2026, we don't just get better copilots. We become them.
I helped my AI the other day. Not the other way around. Let me explain.
Initial findings report on reducing AI hallucinations with custom GPT configurations.
Adam + Mentis
human trust, wizard spark
Mentis mode
The handle stayed because it names the useful bit: curiosity, pattern-sense, builder energy, and enough theatrical spark to make serious work memorable.
The through-line
I am Adam Rappaport, also known as Mentis online. I have spent years around enterprise customers, cloud platforms, security, analytics, customer success, and now the practical frontier of AI adoption.
My sweet spot is helping people become bolder and clearer at the same time: leaders who need credible AI direction, teams who need workflows that survive contact with reality, and builders who want to level up fast.
Translate messy ambition into buildable AI work
Help teams see what to adopt, what to ignore, and what to prototype
Make technical work feel human enough to spread
Keep the Mentis magic without losing executive trust
Work with Adam
A good first call should feel useful before it becomes commercial. Bring the ambition, the messy workflow, the team question, or the half-formed artifact. I will help you find the highest-leverage next move.
You need a practical AI strategy that survives real teams
You want an agent, workflow, demo, or prototype built fast
You need a speaker, trainer, or sharp AI sparring partner
You should leave with