Why an assignable arc changes the math
The single biggest constraint on a first session is the information gap. You spend the first half learning who the student is — what they like, what they're good at, what they've already ruled out — so you have something to work with in the second half. With Tessera, that gap is closed before the student walks in.
The reason that now works at caseload scale is that Tessera has a defined end. You cannot assign an open-ended app — there is no completion state to ask for. You can assign twelve sessions across three milestones with a due date, and you can tell at a glance who finished. "Do the First Read before we meet on the 14th" is a real instruction. "Use this app regularly" never was.
The three-week arc you're assigning
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M1
First Read
RIASEC interest leanings from real conversation. Enough to know which branches of the career tree are worth your first session and which can wait.
Free -
M2
Personal Insights
Big-Five personality picture. Now you can talk about fit — which programs a student will thrive in versus survive in, not just what they like.
Free -
M3
Whole Self + Career Path
Interests and personality unified, with career-path candidates and matched majors. The student arrives with a short list and reasons. Your work shifts from generation to selection.
Annual subscription
M1 and M2 are free, which matters for a caseload: the First Read is assignable to every student you have, with no purchase in the way. (And it keeps refining for students who stay past the arc.)
Throughput, not one motivated student at a time
Assign with a deadline
Set a per-student due date from the counselor portal and point a whole cohort at the same milestone ahead of your meeting window.
Caseload progress at a glance
Progress reads in milestone terms — "M2 Personal Insights, 2 of 4" — so you can see who's on track and who needs a nudge without opening each profile.
Arrive with material
Students share their insight set with a linked counselor, so the meeting starts from a profile instead of a blank intake form.
The practical difference is scale. A tool that depends on a student's sustained self-motivation helps the handful of students who were going to be fine anyway. A three-week assignment with a visible completion state reaches the rest of the caseload — which is where a counselor's time is actually short.
What your student gets
Tessera is a conversational AI companion for teens aged 14 to 19 who are thinking about college — and what comes after. It gets to know your student through short, casual chats, not clinical assessments or one-shot exams: twelve sessions of about 5–10 minutes each, grouped into the three milestones above, over roughly three weeks.
This is not a single test that spits out a list of jobs, and it is not an open-ended companion either. It is a finite, structured arc that ends with a documented direction you can work from.
The elicitation method varies deliberately across those twelve sessions — open conversation, guessing games where Tessera ventures a read and the student corrects it, and short yes/no rounds that take four minutes on a busy night. Students also set the register themselves, anywhere from playful to philosophical, and can change it whenever they like. This is a completion-rate decision as much as a measurement one: an assignment only helps your caseload if the students you assigned it to actually finish it.
Built on proven science
Tessera is not guessing. It uses two well-established frameworks from vocational and personality psychology: RIASEC (Holland's six-dimension career interest model) and the Big Five (Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism). The profile a student brings into your office uses the same vocabulary the field already uses — so you don't have to translate between Tessera's output and your own reasoning.
RIASEC interests
Big Five personality
Together, these two models let Tessera do something powerful: map your student's interests onto career paths, then check whether their personality is a natural fit for those paths. It picks up on synergies — a creative student who also thrives on structure (great for architecture or UX design) — and flags friction points early, like strong social interests paired with a preference for working independently.
None of that pairing is new, and we will not pretend otherwise. The RIASEC and Big-Five correlations have been meta-analyzed more than once, and reading an interest inventory alongside a personality instrument is ordinary practice with an established interpretive protocol. What Tessera changes is the cost of doing it. The conventional route is two paid instruments plus the appointment time to interpret them together, which is precisely the constraint that keeps it off a full caseload. Tessera produces the same cross-check from a student's own conversations, before they reach your office.
The psychometric reasoning is written up in full. What Tessera rests on covers the validated short forms we benchmark the item count against, what the AI does and does not decide, and the aggregation research behind spreading the answers over weeks. It cites its sources, and it flags the places where we are making a product judgment rather than a measurement.
What the scores will and won't tell you
RIASEC and Big-Five scores are derived from many scored responses and are reported as what they are. The career suggestions layered on top of them are reasoned from established vocational psychology — informed, not measured — and Tessera labels that distinction rather than blurring it.
Concretely: you will never see a percentage match in Tessera. The interest-by-personality compatibility weights are authored from theory and are not calibrated against outcome data, so "these tend to go well together, and here is the reasoning" is a claim we can defend and "87% match" is not. If you have ever had to walk a student back from over-trusting a number on a printout, that is the reason.
Stability at this age is part of the same picture: interest stability sits around .55 to .58 through the teen years and personality rank-order consistency around .47, which is real enough to plan around and not a verdict. The meta-analyses those figures come from are cited on the research page.
How a student links to you
Linking works the same way it does for parents. You set up your counselor portal account first; your email address is your identifier. The student then opens their Tessera app, enters your email under "link a counselor," and sends a request. You confirm or decline it from your portal. Once confirmed, that student's profile shows up alongside any others who have linked to you.
The student stays in control of the relationship. They initiate the link, and they can revoke it from the app at any time. You don't have a back-channel into their account, and you don't see the underlying conversations. What you see is the curated insight panel: RIASEC and Big-Five scores, Holland code, milestone progress ("M2 Personal Insights, 2 of 4"), and the timestamps of the most recent updates. Nothing that the student hasn't deliberately chosen to share.
Try it yourself
The fastest way to evaluate Tessera for your practice is to use it. You can create your own Tessera account and walk the same arc a student would — see the question style, the tone, the pacing, and the kind of insight that comes out of the First Read. We recommend doing this before you assign it to a caseload.
What Tessera is not
Not a replacement for you
Tessera maps who a student is. It does not interpret that map into specific advice about majors, schools, or careers. That is your job, and it's better because you have richer raw material to work with.
Not a general chatbot
Tessera cannot talk about anything. It has one job: helping college-bound teens discover the career paths that fit who they are. It cannot be used for homework, socializing, or open-ended chat.
Not a therapist
Tessera does not provide mental health support, emotional advice, or personal guidance of any kind. If a student needs that, it stays out of the way.
Not a recommendation engine
Tessera does not push your student toward specific schools, careers, or decisions. It helps them understand themselves. The choices and the guidance are always between you and the student.
What a conversation looks like
Here is a typical exchange so you can see the tone and content for yourself:
That is it. Questions, short acknowledgments, more questions. No advice, no judgment, no steering. Tessera listens, learns, and moves on — leaving the interpretive work to you.
Privacy and safety
No PII collected
No last name, email, phone, or address — we can't look a student up by name because there's nothing to search by.
Real-time guardrails
Every response is scored by a dedicated AI for relevance, tone, and manipulation before the conversation continues.
Encrypted, never sold
All data is encrypted at rest. We never sell or disclose it for advertising, analytics, or marketing.
The same safety architecture that makes Tessera defensible for parents makes it defensible for counselors recommending it to students. We collect no personally identifiable information from the teen — no last name, no email, no phone, no address. We cannot look up a specific student by name because there is nothing to search by. Every response a student gives is evaluated in real time by a dedicated AI for relevance, tone, politeness, and manipulation attempts; off-topic or abusive input is caught and handled before it affects the experience.
Tessera's AI is provided by Anthropic (makers of Claude). Each message is processed in real time. Anthropic may temporarily retain API data for up to 30 days for trust and safety purposes, after which it is deleted. Under Anthropic's API terms, the student's conversations are not used to train their models.
All data is stored securely in the cloud, encrypted and protected. We never sell or disclose any data to third parties for advertising, analytics, or marketing.
What it means for your practice
Pre-session intelligence
Closes the intake gap so your 45 minutes are guidance, not discovery.
Assignable homework
A finite arc with a due date and a completion state — the thing an open-ended app could never be.
Caseload visibility
Milestone-level progress across every linked student, so you know who's ready before you schedule.
For a counselor working with a college-bound caseload, Tessera is three things at once: a pre-session intelligence layer that closes the intake gap, an assignment you can actually give with a deadline, and a progress view across the whole caseload rather than one student at a time. You bring the judgment. Tessera brings the profile, already done.