Tack AI
For professional coaches

Your clients keep working.
You stop prepping
for every 1:1.

Tack AI is the between-session engine for coaching practices: chat grounded in your frameworks, live roleplay reps your clients can fail safely in, and a pre-session brief drafted for you before every call.

Zero prep
Your 1:1 brief is drafted and waiting before the call
20-turn
Metered roleplay sessions, graded and reported
Every reply
Cites the exact chunk of your IP it used
Full view
Read every transcript your clients ever send
The gap

Six days of silence, then thirty minutes of catching up.

The 6-day drop
Momentum from a great session evaporates by Wednesday. Nobody is there to hold the line at the moment it matters.
The generic-AI trap
Clients ask ChatGPT instead. It hands back coaching-flavored advice that contradicts the method you spent a decade building.
The prep tax
You re-read notes, reconstruct the week, and burn the first ten minutes of the call asking "so, how did it go?"
1 · Grounded chat

It answers the way you would — and shows its work.

Your frameworks, worksheets and session notes are chunked and embedded. When a client messages at 11pm the night before a review, Tack answers from your material, in your register, and ends with one concrete action — never a wall of options.

  • Cites the exact IP chunk under every reply, so you can audit it.
  • Hard topics you flag get redirected to your live 1:1 instead of improvised.
  • Every exchange feeds the client's career health score and your next brief.
Client chat
Tue 10:48pm
My performance review is Thursday and I want to ask for a raise, but every way I write it out sounds greedy. How do I actually say it?
Tack

It sounds greedy when it starts with what you want. Flip it so it starts with what you've already delivered — that's the sequence in your coach's value-evidence framework.

Three sentences, in this order:

  1. Evidence. "Since January I've owned the onboarding rebuild — it cut setup time from 9 days to 4."
  2. Scope shift. "That's a level above the job I was hired into, and it's now permanent."
  3. The ask. "I'd like my compensation to reflect that. I'm looking at $118,000."

One number to prepare before Thursday: the single result of yours with a figure attached to it. Not three — one, said clearly.

Which result are you leading with, and do you have the figure for it yet?

Grounded in:Value Articulation Framework — "Evidence before ask", p.4
2 · Roleplay simulator

Reps they can fail at, before the room that counts.

Salary negotiation, a promotion case, a difficult stakeholder, a resignation conversation. Tack plays the other side of the table — pushing back the way a real hiring manager or skip-level does — and the client gets 20 turns to hold their line.

  • Auto-injects the client's real role, target comp and skill profile.
  • Ends with a graded report: clarity, confidence, strategy, skill gaps.
  • The report lands in your portal — coach the gap, not the recap.
Roleplay
Salary negotiation · Turn 6 of 20
Tack is playing the hiring manager. Context auto-loaded: Senior Ops Manager, 7 yrs, target $118k, current offer $104k.
Thanks — I'm glad the team's aligned. Based on the scope we discussed and what I'm seeing for this role, I'm targeting $118,000.
Tack

Hiring manager:

I appreciate you naming a number. Honestly, $118 is outside the band we approved for this level — I've got $104 to $110, and $110 is already me stretching. I don't want comp to be the thing that stops this.

Your move: hold the number, or trade for something other than base?
Session report
Auto-generated
Overall
B+
Score
72
Clarity84
Confidence71
Negotiation strategy66
Skill gaps58
Strength

Named a specific figure early and tied it to delivered scope rather than market averages.

To work on

Conceded to $110 within one exchange. Didn't test non-base levers — sign-on, review timing, title — before moving.

Pre-session brief
Drafted 2h before your 1:1
Ryan M.
Senior Ops Manager · 14 messages since last session
Health
68 ▲ 7
Since you last spoke
  • Ran two negotiation roleplays ahead of Thursday's review (B+, C+).
  • Rewrote his impact summary using the value-evidence sequence.
  • Still hasn't booked the skip-level he committed to on the 12th.
Wins logged
HighOnboarding rebuild shipped — setup time 9 days → 4
MedPresented the ops roadmap to the leadership team
Open with
  • What made you drop from $118 to $110 so quickly in the practice run?
  • What's actually stopping the skip-level from getting booked?
  • If Thursday goes badly, what's your next move — and by when?
Editable in your portal · export as a one-page PDF
3 · Auto-drafted 1:1 briefs

Walk into every session already caught up.

Book the 1:1 in Tack and a brief is drafted from everything that actually happened since you last spoke — wins with impact weighting, stalled goals, roleplay grades, health-score movement, and three questions worth opening with. Editable, printable, and yours before the call starts.

  • Delivered ahead of the session — in-app and by email.
  • Micro-win impact is classified by Tack, and overridable by you.
  • Export as a one-page PDF to share with the client afterwards.
Under the hood

Your IP, embedded. Your boundaries, honored.

Feature
10-minute conversational setup
Four questions on methodology, tone and boundaries. Tack drafts your operating instructions; you approve or edit.
Feature
Framework vectorization
Drop in PDFs, session notes and intake forms. Chunked and embedded so every reply is anchored to your actual method.
Feature
Hard-topic blocks
Name the subjects that belong in a live 1:1. Tack redirects the client instead of freelancing.
Feature
Transcript transparency
Every message, the IP chunk behind it, and a relevance rating you can score. No black boxes.
Feature
Scheduling + auto reports
Book 1:1s in-app and the pre-session brief generates itself ahead of the call.
Feature
Live labor market data
BLS and Adzuna feeds put real salary bands and in-demand skills behind your client's plan.
Tack vs. generic AI

Built for coaches, not chatbot tinkerers.

Tack AI
ChatGPT
Notion AI
Grounded in your frameworks
Roleplay simulator with graded reports
Auto-drafted pre-session briefs
Hard-topic deflection
Full transcript visibility
RAG relevance rating
Live labor market data
Consent-first client onboarding
10-min setup wizard
Pricing

Flexible seats. Priced for practices.

Solo
$79/mo
5 client seats
+ $12/mo per extra seat, added or removed any time
Practice
$149/mo
15 client seats
+ $12/mo per extra seat, added or removed any time
Pro
$249/mo
35 client seats
+ $12/mo per extra seat, added or removed any time

Set up in 10 minutes. Keep your clients moving all week.

No credit card to run the coach wizard and see Tack answer in your own voice. Enable payments only when you're ready to invite clients.