Intelligence
Advisor
The core interface: a guided conversation that helps users navigate a complex decision.
Menu Item: Advisor
When people need guidance, your system should know how to help.
For directories and decision-heavy businesses, the value is already in your data and team judgment. We turn that into a conversational advisor that guides, qualifies, and hands off with context.
Built for education platforms, care navigation, legal and professional directories, marketplaces, and any business where people face a complex decision before they know what to ask.
Why Now
People need guidance before they are ready to convert.
Directory and marketplace businesses sit on years of proprietary data and human judgment. Users usually see static pages. The opportunity is to turn that buried intelligence into a guided experience.
Users scroll through options and leave. You never learn what they were really trying to solve.
Users describe their situation. The advisor guides them and captures the context.
Your best person can explain the choice. Your site usually cannot.
That judgment becomes part of the product. The guidance is available whenever users arrive.
Your data sits in a database. Your users experience it as a wall of listings.
Your data becomes a conversation. No generic tool can replicate the context.
Your users are still forming the question. A form asks them to be ready too soon.
The advisor meets them in the messy middle. It clarifies, qualifies, and hands off warm.
Co-Intelligence
A guided practice for real decisions.
An advisor is what happens when your data, your team wisdom, and your users start working together.
01
Team Wisdom
We capture how your best person explains the tradeoffs, reads the situation, and knows when someone is a fit.
02
Data Depth
Listings, outcomes, pricing, requirements, and edge cases become context the advisor can use in conversation.
03
User Guidance
The interface helps people clarify what they need before it hands them to your team with full context.
The Vision
What this looks like when someone is still figuring it out.
A user lands on your site with a real decision in front of them. They describe their context: goals, constraints, timing, preferences, concerns. The advisor helps them understand the tradeoffs and narrows the field to what actually fits.
That is the conversation your best person would have, available before the user is ready to talk to a human.
For users still thinking through the choice, the advisor becomes the guidance layer. When they do raise their hand, your team gets the story behind the form fill.
How It Works
From buried intelligence to a working advisor.
The build starts with the decision, the context, and the handoff your users actually need.
01
Map the Decision
We study how users choose, where they get confused, and what your best person needs to know before guiding them.
02
Structure the Context
Listings, criteria, pricing, outcomes, caveats, transcripts, and team judgment become the shared field the advisor works from.
03
Build the Advisor
The interface asks, listens, explains tradeoffs, recommends paths, and knows when to hand the conversation to a human.
04
Launch, Learn, Improve
Every conversation teaches the system what users need, what the funnel misses, and what your team should change next.
Built with ownership, privacy, and vertical-specific guardrails from the start.
Case Study
Career Karma: from static directory to guided career decision.
Multi
school dispatch across active partnerships
10%
conversation start rate (2.5x over baseline)
8 wks
from zero to working system
“Cool model. I haven't seen that before.”
Alissa Landra, VP US Ops, 4Geeks Academy
Career Karma connects career changers with tech bootcamps. The directory had the raw material: school data, program differences, partnership logic, and years of category context. We rebuilt the experience as a conversational advisor that helps users explain what they need before choosing a path.
Each conversation can recommend matched programs and capture the details that matter: intent, budget, timeline, goals, and fit.
Multi-school dispatch across active Career Karma partnerships. A partner school invited Fedor to speak at their graduation.
The system went from zero to live in 8 weeks because the work combined Advisor, Pipeline, Context, Website + Funnel, and AI Teammates from the menu.
Bring us the decision your users struggle with.
Map an AdvisorStraight Talk
Questions we hear on every call.
“We’ve tried chatbots. They fell flat.”
The advisor is built from your data, your rules, your team judgment, and the real decision your users face. It should feel like guidance with enough context to move the person forward.
“Our team already does qualification.”
Exactly. The point is to make more people arrive with context, so your team spends less time pulling basic facts out of a form fill.
“We’ve seen this pitch before.”
That is why the conversation should get specific fast. We look at your data, your users, and the decision journey, then map the smallest working version worth building.
“How much does this cost?”
It depends on the depth of the build: prototype, productized advisor, or a fuller studio partnership. The first call is to choose the right scope from the menu.
“We’re going through a transition right now.”
That can be the right moment. A contained advisor build can clarify what users want, what your data can do, and what a larger system should become.
Your point of contact
Fedor Sokolov
MIT Sloan Guest Lecturer · 4Geeks Graduation Speaker
Built four products in 90 days with a team of AI teammates. Multi-school dispatch live across Career Karma partnerships. Guest lecturer at MIT Sloan on venture studio models. The person who emails you is the person who helps build the system.
Bring us the decision your users struggle with. We'll map the advisor.
We'll look at the data, the user journey, and the judgment your team already carries. Then we'll choose the smallest version worth bringing into reality.
Your data stays yours. The practice brings it to life.