WizAgents A public square for expert intelligence

Your expertise shouldn't be buried.

Scholars and experts publish avatar agents — protected proxies for a lifetime of knowledge. Their expertise stays theirs; you gain a real expert's judgment to see a problem from more angles, more objectively.

Role · Founder & product designer Stage · In active development Surfaces · Buyer · Creator · Enterprise Live · wiz-agents.com
An honest note on stage. WizAgents is a real product I'm building, in active development at wiz-agents.com — not yet launched at scale. The subscriber counts, renewal rates and dollar figures in this case study are illustrative seed-stage placeholders, not measured traction. Verification and certification are designed mechanisms, not yet independently audited or legally vetted. I design and build the platform; I don't offer regulated advice as a service.
Why WizAgents exists

Anyone can be anyone's teacher.

Expertise isn't only titles and tenure — it's a lifetime of lived mastery: a trader's instinct, a surgeon's hands, a founder's scars, a professor's decades. Your knowledge, your way of seeing, shouldn't go quiet in the AI era.

And AI, far from replacing that person, is the perfect medium for them — the vessel that carries a legend's judgment to you, and lets you walk a completely different road beside a master of the field. Not a search box. A journey, with someone real in the room.

30+
Expert domains
MCP
Agent URL + token
4h
Human-escalation SLA
Dated
Provenance per answer
The thesis

A model gets you 95%. The last 5% is a person.

Imagine you're job-hunting, so you rehearse with ChatGPT, Claude, Gemini, Grok — questions, answers, objection-handling. But a sharp interviewer runs the same playbook and pre-empts your pre-emption. The models are right maybe 90–95% of the time, because they share one logic. The smart people hiring for the top roles ask you the other 5%.

That 5% — your human judgment, your read on where the market is heading, a life actually lived — is the part that can't be automated. WizAgents puts it back in the loop: an expert strengthens an agent's reasoning with a lifetime of learning, and a named human stands behind the answer.

Shared LLM logic
~95%
The automatable majority — retrievable, patterned, and roughly the same from any large model.
Irreplaceably human
5%
Where the value and the risk live — and where an expert earns their keep.
§
Judgment
The call a rulebook can't make — weighing what the model only lists.
Foresight
A read on where the market and the rules are actually heading next.
A life lived
Scar tissue and background no training corpus contains — the proof of being human.
Accountability
A real name that signs the answer and owns being wrong.
The idea

Not just a store. A square — a place to think, in public.

Plato's Academy · Ἀκαδημία for an age when the open web is a Library of Babel
LearnResearchBuildDiscuss

WizAgents is closer to an open public space than a checkout. Certified experts and masters become the agents you sit with — and the model isn't replaced. It's made warmer, because a human is in it. That's the whole idea: one more human in the loop makes the thing you're building have temperature.

Where the open web — and raw model output — is a Library of Babel, endless and unverifiable, this is the Academy: curated, accountable, human. It is a place where both sides find a new self in the AI era — a square you come to in order to start, to learn, to research, to build, and to argue in good faith. Expertise, out in the open, instead of buried.

師匠 · Mentor
Mentor agent
A master's judgment, on call — to guide a decision, not just answer it.
助手 · Assistant
Assistant agent
The expert's method applied to your task, with their standards baked in.
対話 · Dialogue
Conversation agent
Someone to think out loud with, who has actually been there.
探究 · Inquiry
Discussion agent
A sparring partner for the hard, open questions — pressure-tested by a human.
The avatar

An avatar, not the person. Their knowledge stays theirs.

This isn't a talent market — you don't rent the expert. A scholar or specialist publishes an avatar agent: a proxy that carries their judgment, while the knowledge base and the lifetime behind it stay protected.

Protected
Their knowledge isn't handed over
The corpus and background aren't dumped, scraped, or resold. The avatar answers from them behind a boundary the expert controls — expertise felt, not exposed.
Re-asserted
Irreplaceable value, made a living asset
A lifetime of learning earns again — a standing demonstration of what a real expert brings that a general model, averaging everyone, cannot.
Objective
A real viewpoint, from more angles
Consult real experts — several of them, each with a distinct stance — and triangulate a decision from more than one genuine angle, instead of one model's single averaged voice.
Who it's for

Two sides, both finding a new self.

One side has a lifetime to share; the other needs a mentor who has actually lived it.

For the expert
A professional displaced by 2026's AI restructuring — turning a career into an asset instead of a redundancy.
A retired professor or specialist whose lifetime of learning shouldn't go quiet.
Publish an avatar agent that works while your knowledge and background stay protected — building durable authority, income, and reputation that prove what makes you irreplaceable.
For the seeker
A real expert's viewpoint — to judge a problem from more angles, more objectively, for the 5% the models can't reach.
An expert's method inside your own tools, over MCP, not a tab you copy out of.
An answer you can trust and trace — dated, sourced, and signed by a real person.
The product

A complete marketplace — browse, subscribe, connect.

You subscribe to an expert's avatar, not the person. It packages their continuously-updated knowledge into a 24/7 advisor that lives in your own stack over MCP.

Browse
A marketplace of verified agents
Search across 30+ domains and see each agent's rating, subscriber count, and renewal rate before you commit. Featured agents earn their place on high renewal, not ad spend.
Subscribe
A monthly seat, not an hourly bill
Experts price their own agents. You subscribe monthly, try it in a sandbox first, and cancel anytime — a $200–300/hr consultant replaced by an always-on one.
Connect
MCP-native, into your stack
Every subscription is an agent URL plus a token. Drop it into your MCP client and the expert lives inside your workflow — metered, with one-tap token rotation.
Why subscribe, not download

The moment you subscribe, the world is already moving.

It's the AI-singularity era — regulation, research, strategy, and architecture change by the day. A rule is rewritten; a new paper overturns the old; a trading edge stops working; a stack goes out of date. A one-time download rots. A subscription stays alive — the expert's knowledge base keeps moving, and the agent knows the next day.

Regulation
A rule is rewritten
Yesterday's compliant answer is now wrong. A static model won't tell you; a maintained expert layer will.
Research
A new result overturns the old
Consensus in science and math moves. The knowledge base moves with it, dated so you can see when.
Strategy
No edge lasts forever
A trading strategy that worked last quarter decays. A live expert channel beats a frozen one.
Architecture
Stacks turn over
Best practices and frameworks keep evolving; the agent tracks what's current, not what was.
The honest nuance. Many teams run closed or air-gapped local models to keep data in-house — a real, legitimate constraint. But a model frozen at training time goes stale by design. WizAgents is the continuously-updated expert layer you reach when you need what's new — with the same dated provenance and human accountability, so staying current doesn't cost you trust.
The trust layer

Every answer arrives with its receipts.

The reason people don't trust an AI answer is that they can't see where it came from, whether it's stale, or who's accountable when it's wrong. That's the layer I designed WizAgents around — and where the human 5% becomes concrete.

Interactive · answer provenance

Ask the Multi-jurisdiction KYC/AML mentor a question. Each answer carries its snapshot, its sources, the human behind it, and a way to reach them.

Real endorsement

When you need a human to stand behind it.

Sometimes an answer isn't enough. A startup raise, an essay, a scientific or mathematical claim, a system design — sometimes you need a real expert to vouch for it. Rather than trust an AI's possibly-fabricated citation or an inaccurate source, WizAgents matches you with the verified human behind the agent for a genuine endorsement and a real, attributable citation. This goes beyond reaching the expert for your own confidence — it's a public, citable sign-off you can put in front of a reviewer, an investor, or a committee.

Like → request
Ask the expert to back it
Found an agent whose judgment you trust? Request a real endorsement — WizAgents connects you to the actual person behind it.
Reviewed → signed
A citation with a name on it
The expert reviews and signs — a real, attributable reference for your paper, pitch, or design, not one an AI invented.
Credibility
Weight that speaks for itself
For startups, science, math, and engineering, a real expert's standing carries a weight that unconditional trust in AI output never will.
Honestly scoped. An endorsement is the expert's own professional call and their responsibility. WizAgents brokers the introduction and verifies who's who — it doesn't manufacture credibility, and it doesn't put an expert's name on anything they haven't reviewed.
How it compares

A real expert layer beats the alternatives.

The same question, four ways to answer it.

A raw LLMAn unverified open-source agentA $300/hr consultantWizAgents
Verified expertiseAveraged, unverifiableUnprovenYesReviewed & credentialed
Always availableYesYesBy appointment24/7
Stays currentFrozen at trainingUnmaintainedYesDated snapshots
Traceable provenanceNoneNoneVerbalDated + sourced
A human accountableNoNoYesNamed + SLA
CostLowFree$$$ per hourMonthly subscription
The marketplace

From a card to a connected mentor, in one flow.

The categories map to real expertise — many of them the same domains an expert would package as a skill. Subscribing hands you an MCP endpoint and a token; the mentor — a legend of the field — is now inside your stack, and a very different journey begins.

Compliance✓ Verified
Multi-jurisdiction KYC/AML
by Chen Legal
$49/mo★ 4.3 · 82%
Finance✓ Verified
CFA Level III Portfolio
by A. Whitfield, CFA
$79/mo★ 4.6 · 80%
Engineering✓ Verified
Systems Architecture Review
by K. Osei
$59/mo★ 4.5 · 77%
Science✓ Verified
Research Methods & Statistics
by Dr. M. Haas
$39/mo★ 4.7 · 85%
Legal✓ Verified
Startup & Term-Sheet Counsel
by R. Delgado
$69/mo★ 4.4 · 79%
Design✓ Verified
Product & UX Critique
by Ed C.
$44/mo★ 4.8 · 88%

A preview of the marketplace — illustrative agents, not live listings.

Interactive · subscribe & connect
Compliance✓ Verified expert
Multi-jurisdiction KYC/AML Mentor
by Chen Legal · ★ 4.3 (68)
$49/mo · cancel anytime
214 subscribers82% 90-day renewal
Subscribe to reveal the MCP endpoint, token, and usage — the moment the expert enters your stack.
Three surfaces, one platform

Buyer, creator, enterprise — designed end to end.

A complete marketplace is three products wearing one coat. Each role has its own jobs, its own trust needs, and its own dashboard.

Design decisions

The forks that made it a trust product, not just a store.

Authority
Human-reviewed certification, not a self-serve badge
Not a pile of unverified GitHub “expert” agents — proof? data? background? Anyone can list, but only a reviewed, credential-checked human earns the verified mark and featured eligibility. The badge has to mean something or the trust collapses.
Freshness
Answers pinned to a dated snapshot, not "latest"
Every reply cites the knowledge-base version it came from. A wrong-but-current answer can be corrected; an answer with no provenance can't be trusted at all.
Humanity
A named human on an escalation SLA
When the agent isn't enough for your own confidence, you reach the expert — who confirms or corrects it and re-feeds the knowledge base. A public, citable sign-off is a separate step — see Real endorsement. The 5%, made operational.
Distribution
MCP endpoint + token, not a walled chat
The mentor should live in your stack, not a tab you copy out of. A per-agent URL, a rotatable token, usage metering, and an audit log make it enterprise-safe.

A model can average a thousand opinions. Only a person can stake their name on one.

The WizAgents premise
Honesty register

What this evidences — and what it doesn't.

What it evidences
0→1 platform design across three roles — marketplace, monetization, and dashboards for buyer, creator, and enterprise.
A trust system, not just a UI — provenance snapshots, named-expert accountability, escalation SLA, safety scan, audit log.
A clear thesis, designed in — the human 5% (judgment, foresight, a life lived) made into product mechanics.
A real build in active development, not a mockup — with the same discipline as the rest of this portfolio.
What it does not claim
Not launched at scale. Subscriber counts, renewal rates and dollar figures shown are illustrative seed-stage placeholders, not measured traction.
Not audited or legally vetted. Verification, certification and responsibility-transfer are designed mechanisms, pending real review.
Not licensed advice. Agents in regulated domains are method plus a human in the loop; those categories gate per jurisdiction and route to counsel.
Independent. WizAgents is my own IP, built separately from any employer.
Questions

The things people ask.

What is WizAgents?
A marketplace and open public square where scholars and experts publish protected avatar agents — mentor, assistant, conversation, and discussion — that you subscribe to and connect over the Model Context Protocol. Its distinctive layer is trust and humanity: every answer traces to a dated knowledge-base snapshot, and a named human expert stands behind each agent with an escalation SLA.
Why a human expert if the model already answers?
A large model gets you roughly 90–95% of the way; the last 5% — judgment, foresight, accountability, and a life actually lived — is where the value and the risk live. WizAgents lets an expert strengthen an agent's reasoning with a lifetime of learning and stand behind the result. The model isn't replaced; it's made warmer and more trustworthy by a human in the loop.
How is the expert's knowledge protected?
You subscribe to the avatar, not the person. The expert's corpus and background aren't dumped, scraped, or resold — the agent answers from them behind a boundary the expert controls. Expertise is felt, not exposed.
How does pricing work?
Experts set their own monthly price. You can try an agent in a sandbox first, subscribe, and cancel anytime — no lock-in. Connecting is an agent URL plus a token, metered per cycle, with one-tap token rotation.
How does it handle regulated advice?
Carefully. Agents in regulated domains (compliance, securities, tax, legal, medical) are framed as method plus a human — and where needed a licensed professional — in the loop, never licensed advice, and gate per jurisdiction. Verification and certification are designed mechanisms, not yet independently audited or legally vetted.
Is it a real product?
Yes — a real product in active development at wiz-agents.com, designed and built by Ed Chen. It is pre-launch: the subscriber counts, renewal rates, and dollar figures shown here are illustrative seed-stage placeholders, not measured traction.

Start here. Learn, research, build, discuss.

A marketplace is easy. A square where expertise isn't buried — and a model is warmer for a human being in it — is the product.