Founding user programUnlock Professional Strategy AI for Your Team
Tegy
by RocketMinds
Tegy vs. AI work agents

Agents automate multi-step work. Tegy is built around the decision.

General-purpose agents and workflow tools can take multi-step knowledge work off your hands. A strategy decision asks for something else: a method, a challenge to your assumptions, and a recommendation you can defend.

Where each one wins

Use an agent for multi-step work you want automated. Use Tegy when the question is which path to take and what it rests on.

A hard call needs the method and the reasoning in the open. That is what Tegy is designed around.

What changes with Tegy

Built for the decision.

Bring the decision, not a workflow

Bring the decision and the material you have. Tegy picks the approach.

Rigor you can see

The evidence, the comparisons, and the assumptions are the output.

A decision artifact

A written recommendation ready for the people who have to approve it.

Side by side

Task agents and Tegy on a hard business decision.

AI work agents
Tegy
Why people choose it
They can automate multi-step knowledge work.
An agent designed around consequential business decisions, not generic task automation.
Where it breaks
Strategy rigor is broad or opaque, configuration burden is high, and decision artifacts are not what the category is built around.
Method, challenge, and a defensible recommendation are the whole point.
What you walk away with
Completed tasks.
A decision you can defend and hand off.

Choose a task agent when

  • The work is multi-step and repeatable, and automating it is the goal.
  • You do not need a written recommendation others will check at the end.
What Tegy does

The work behind the decision, done in the open.

01

Reads what you already have

Notes, spreadsheets, decks, call transcripts, research. Bring it as it is. No clean brief required.

02

Finds what is missing

The facts your current thinking skips and the risks it hides. Tegy stops to ask you about the assumptions the decision depends on instead of quietly guessing.

03

Compares the real options

Side by side, with the second-order effects and the numbers checked.

04

Writes the recommendation

Evidence, assumptions, and next steps shown. Ready to review, share, and hand to the next owner.

See it on a real decision

One pricing call, start to finish.

A normal AI chat agrees with you. A consulting firm gets it right, months and six figures later. Tegy gives you the rigor now.

The question

We think we're underpriced. Do we raise prices, and by how much, without losing customers?

A normal AI chat

Good question. There are arguments on both sides. Raising prices could grow revenue, but it might push some customers away. A small increase is safer; a big one is riskier. It really depends on your goals and your market.

Sounds good. Agrees with you. Says nothing.

How it's thinking

  1. Mapped what each segment will actually pay
  2. Modeled the revenue gain against the churn risk
  3. Found the assumption you hadn't tested
Stops to ask youYour biggest accounts may be far more price-sensitive than the rest, and you haven't tested it. Confirm it, fix it, or flag it as unknown.

What you walk away with

  • An executive summary
  • A pricing playbook
  • A market map
  • A board-ready deck
  • A financial model
  • An investment memo
  • An action plan

Done in minutes, not weeks.

Founding user program

Bring a real decision.

Founding users get 3 days free. After that, $39 a month per seat covers 10 decisions (solve, review, brief), or $19 a month per seat covers 3.