Understands what you need before responding
Detects whether you're missing data, sitting on unexamined assumptions, or already ready to decide. Adapts its intervention to that moment — not to your prompt phrasing.
AI co-reasoning platform
This AI slows you down on purpose.
See what you're assuming before you decide. Evoriant is an AI co-reasoning platform — not a chatbot, not a copilot, not a shortcut.
Coming soon
Definition
Evoriant is an AI co-reasoning platform built on the CoThinker Method ↗.
It detects whether you're missing data, sitting on unexamined assumptions, or ready to decide, and adapts before responding.
AI in the Human Loop.
What it does
Six operations that separate it from a chatbot.
Evoriant doesn't optimise for fluent answers. It optimises for decision-readiness — the difference shows up in six specific behaviours.
Brings what you didn't tell it
Activates relevant context — actors, regulations, market dynamics — and keeps it visibly separate from what you provided. You always know which is which.
A professional memo, not an exported chat
An editorial memo with structure, visual blocks, and an editable annex. Usable directly in your work — not a transcript you have to clean up.
Adapts to your decision moment,
not to your prompt
If you're facing a trade-off, it surfaces what each branch costs. If you're testing a what if, it pressures the assumption. If you need a plan, it produces one. No mode toggles, no configuration.
Separates facts from assumptions, visibly
Every recommendation shows its base: what is verified, what is a working assumption, and what is orientation under uncertainty. Nothing hides in the prose.
Searches real data and integrates it without inventing
When the problem requires external information, it retrieves it under control and cites it. No fabricated sources, no hallucinated figures.
How a session runs
From decision in your head to memo on your desk.
No templates. No mode toggles. The method chooses the intervention; you choose what to do with the memo.
STEP 01
Describe your decision in natural language
A should I, a what if, a trade-off you can't unsee — bring the question as it lives in your head. No templates, no structured form.
STEP 02
The system diagnoses what you actually need
Data, clarification, comparison, or a plan. The intervention is chosen by the method, not by you.
STEP 03
Co-reason with questions that challenge your assumptions
Friction is intentional, and proportional to the stakes. What's at risk shapes how hard the system pushes back — and what you see before you commit.
STEP 04
Receive a professional memo, structured for use
Facts, assumptions, and orientation under uncertainty are kept separate. Risks are flagged. Next step is explicit.
What it isn't
Four things Evoriant deliberately is not.
The difference is structural — a method that challenges you because the process requires it, not because you asked it to.
N°01An open-ended chatbotA method that diagnoses your moment, then intervenes accordingly.
N°02A wrapper around a generalist LLMA reasoning pipeline with explicit thresholds, visible assumptions, and traceable handoffs.
N°03A productivity tool that reduces frictionProductive friction — only at the points that matter, only before the decision.
N°04A copilot that flatters youCognitive friction by design — because the process requires it, not because you asked for it.
N°05A critical thinking courseCritical thinking applied to the decision in front of you.
LLMs optimize for completion and validation — not for challenging whether the question is well-formed. Evoriant does the opposite.
The deliverable
A memo, not a transcript.
Three formats. One trace.
Every session ends in a structured executive report. Facts, working assumptions and orientation under uncertainty are kept visibly separate. Risks are flagged. The next step is explicit.
You can hand it to a board, paste it into a doc, or keep it as the trace of how you arrived at the decision. The conversation that produced it is private — the artefact stands alone.
EVORIANT
M5 · DECISIONAL · 2026-05-08
CONFIDENTIAL · Decision memo · Session #4821
Pricing the Q3 launch under contested margin assumptions.
A 2-page decision memo prepared in 24 minutes of co-reasoning.
Verified facts
FACTUnit cost ranges €38–€42 across three suppliers (Q2 audited).
FACTCompetitor list price moved €89 → €79 in April.
Margin sensitivity · €/unit
727882869298
Working assumptions
ASSUM.Margin floor stated as 8–9% — not independently verified.
ASSUM.Demand elasticity assumed flat above €82 — Q1 cohort only.
Risks & thresholds
VETOIf supplier B's surcharge confirms, the €82 floor breaks the margin.
EVORIANT.COM1 / 2
executive_report.pdf
.pdf
Executive report
Formatted, visual, board-ready.
MEMORANDUM
To: Pricing committee
From: Strategy lead
Re: Q3 launch pricing
Date: 8 May 2026
The pricing recommendation for the Q3 launch rests on three observed cost ranges and a stated margin floor. Two of the three are independently audited; the third is asserted but not yet verified.
The principal risk is supplier B's pending surcharge. If confirmed within five working days, the €82 floor breaks the stated margin band and the recommendation should be withdrawn.
Demand elasticity above €82 is assumed flat based on Q1 cohort data and has not been stress-tested against the competitor's recent move to €79.
Recommendation: hold the pricing decision pending supplier B confirmation. Reconvene with verified surcharge data before the 13 May checkpoint.
memorandum.docx
.docx
Prose memorandum
Editable, the trace as narrative.
# Decision memo · Q3 pricing
_Session #4821 — 2026-05-08_
## Verified facts
- Unit cost €38–€42 (3 suppliers, Q2)
- Competitor: €89 → €79 (April)
## Working assumptions
- Margin floor stated **8–9%**
- Demand flat above €82 (Q1 only)
## Risks
> **VETO** if supplier B surcharge confirms
## Orientation
**Hold pricing 5 days.** Pull supplier B
confirmation before committing.
## Next
- [ ] Confirm supplier B surcharge
- [ ] Reconvene 13 May
memo.md
.md
Plain text
Lightweight, paste-friendly.
Questions
What people ask before their first session.
What if I don't know yet what I'm deciding?
That's the most common state. Evoriant doesn't require a well-formed question — it diagnoses your moment first. Sometimes you arrive ready to decide; sometimes you arrive needing to frame what you're deciding. Both are handled.
How is this different from just chatting with an AI LLM?
LLM Chat optimises for fluent response, often producing the satisfaction trap — a fluent answer that confirms your framing and ends the work. Evoriant applies Socratic questioning as intentional cognitive friction before writing: it diagnoses whether you have enough to decide, surfaces what you're assuming, and only then produces the memo.
What does the output look like?
An editorial memo — structured sections, visible facts vs. assumptions, flagged risks, a single recommended next step, and an editable annex. Not a transcript.
What data do you collect?
Email and self-declared role at the gate. The session itself is processed for the deliverable. Nothing is sold, nothing is used to train external models.
How does it handle search?
Retrieval is controlled and cited. When external information is needed, the system fetches it, surfaces the source, and integrates it without paraphrasing into invented certainty.
Coming soon
Decide better-prepared. Once.
You come in with a decision. You leave with a memo.
Coming soonRead a sample memo first