Resource · Custom playbook guide
How to Build a High-Performance Custom Playbook in Amotions AI
A high-performance custom playbook is the difference between generic “ask an open-ended question” coaching and a private overlay that sounds like your best closer. In Amotions AI, “train” means loading your materials, process, objections, and scoring rules—not fine-tuning a foundation model by default. Playbook personalization and custom AI agents sit on Professional ($99/seat/month) and Enterprise; Basic and Starter do not include personalization. Calibration typically takes about one week, then the same coaching brain powers AI roleplay, private live prompts, and post-call scorecards. This guide is for power users—real estate acquisition managers, insurance team leads, and sales leaders—who need coaching cards, pre-call prep, real-time prompts, and QA that match how their team actually sells.
Published By Pianpian Xu Guthrie, Founder and CEO
What is a custom playbook in Amotions AI?
A custom playbook in Amotions AI is the company knowledge and coaching rules you load into the product—scripts, objections, product information, brand voice, process stages, and scoring criteria—so roleplay, private live prompts, and post-call scorecards reinforce how your team sells instead of a generic sales library.
What is Amotions AI?
Amotions AI is a real-time private AI sales coach that delivers in-call guidance, AI roleplay, and post-call scorecards—trained on the customer’s playbook. It does not join meetings as a bot.
Why does a custom playbook beat generic AI coaching?
Off-the-shelf models can sound helpful and still miss how your company sells. Generic tips stay abstract. Company-trained coaching references your stage exits, qualifying criteria, approved next steps, product names, and brand voice—so sellers do not sound like a default chatbot.
Generic AI
“Ask an open-ended question.”
Company-trained Amotions AI
“Based on our discovery framework, ask about motivation and timeline before discussing price or an offer.”
Process versus platitudes
A custom playbook encodes stage exits: when to stay in discovery, when to handle an objection, and when to ask for a dated next step. Generic coaching rarely knows your disqualifiers.
Your language and guardrails
Prompts can use your terminology, disclosures, and pricing ranges. That matters in insurance, acquisitions, and any desk where improvised claims create risk.
One coaching brain across the loop
The same materials power AI roleplay before the call, a private overlay during supported live conversations, and a scorecard afterward. Managers review talk-track adherence without joining every call.
See the product path on Train your AI sales coach and the definition on custom AI sales coach. Playbook personalization is on Professional and Enterprise.
What should you upload and define in an Amotions playbook?
Enablement already has the materials. Amotions is designed so that knowledge becomes coaching—not a second wiki sellers never open mid-call. Start with what trains a new hire today.
Objections and approved rebuttals
Load the stalls buyers actually say—price, timing, spouse/partner, incumbent, “think about it,” send-info—with diagnostic questions and approved responses. Do not upload textbook labels without the real wording. The coach should isolate the concern, not invent a concession.
Talk tracks and scripts
Upload the call flow enablement already owns: openers, required disclosures, qualification questions, and closing language. Prompts stay inside language and guardrails you provide. The coach does not invent coverage, pricing, or legal advice.
Discovery sequences
Map the stages your team actually runs so coaching follows your sequence instead of a default funnel. A discovery framework should cover current-state pain, impact of inaction, environment, alternatives, decision process, risks, and a concrete next step—not a feature dump.
Advance-the-close rules
Define when to leave discovery and when to ask for a dated next step. Example rule: do not discuss pricing until impact and decision process are clear; a next step is required before leaving the call. Without these rules, live prompts stay stuck in “one more question.”
Tonality and brand voice
Brand voice notes tell the coach how your sellers should sound—calm and consultative versus direct and commercially sharp. Tonality is configuration, not a personality transplant. Pair it with listening cues so process does not override presence when the other party tightens up.
Product knowledge and pricing guardrails
Product sheets, competitive notes, packages, and pricing ranges keep coaching grounded in company knowledge rather than the open internet. Guardrails matter most in insurance and regulated offers: the overlay should cue approved language, not improvise benefits.
Disqualifiers and qualification criteria
Write the exits that save time: not a decision-maker, no urgency, already under contract, outside coverage or geography, or a polite stall with no path forward. Disqualifiers belong in process stage exits so prompts do not keep “saving” a call that should be released.
Scoring criteria managers already use
Upload what “good” looks like: required questions, talk-track adherence, disclosures, and next-step standards. Published scorecards already cover discovery, objections, listening, next steps, and MSCEIT-informed emotional intelligence. Add custom criteria on Professional and Enterprise when your QA bar is more specific.
For a desk-dump checklist that pairs with this architecture, read how to train an AI sales coach on your playbook. To preview a pilot from an uploaded file, use playbook to live coach.
How should you architect a playbook for high-stakes calls?
High-stakes calls—seller acquisition, insurance needs analysis, CRE owner conversations—fail when the playbook is a flat document. Architect it as a sequence with stage exits, a small set of high-leverage prompts, and a quiet default when the seller is already executing.
Stage map with exits
Name the stages your team actually runs (open → discovery → qualification → objection → next step). For each stage, write the exit: what must be true before the seller advances. Coaching follows those exits instead of a generic funnel.
A prompt budget, not a wall of cards
Each live suggestion should be a short private coaching card: what you heard, why it matters now, and exact words the seller can say next. Keep suggestions under about 90 words. If the call is already progressing well, the right move is to stay quiet.
Discovery versus close advancement
Surface discovery prompts when pain, impact, or stakeholders are still vague. Surface close-advancement prompts when those are clear and the call is drifting—book a walkthrough, lock a dated follow-up, or confirm who else must be present. Do not cue a trial close during unfinished discovery, and do not keep stacking questions after a yes.
Emotional-shift cues from listening, not a separate detector
Amotions coaching is MSCEIT-informed: prompts can reflect trust, hesitation, pacing, and empathy—not keyword matching alone. When the conversation gets tense, cue listening and presence so process does not override the human. That is behavioral scoring and in-call listening, not a claim of a standalone emotion-detector product.
This-call memory plus pre-call notes
The overlay listens dynamically on the current conversation and can use pre-call notes you provide—pasted portal or lead fields, a short brief, or answers to pre-call questions. Connect a calendar so upcoming meetings can support prep. That is this-call listening plus prep—not a persistent cross-call seller profile or automatic CRM memory unless a connector is confirmed. Salesforce writeback, when enabled, is a Task with summary and next actions—not a full scorecard sync.
How do you design coaching cards and real-time prompts?
A coaching card is the private overlay the seller sees. Design each card so a stressed closer can use it in one glance. Live coaching is a private overlay—the buyer never sees it, and Amotions does not join the meeting as a bot.
Card part 1: Trigger (what you heard)
Seller said “we’re just looking” after you asked about timing.
Card part 2: Why it matters now
Looking without a timeline is unfinished discovery, not a polite no. Do not pitch an offer yet.
Card part 3: Exact words the seller can say next
“Totally fair—when you say looking, is that comparing options this month, or still deciding whether to sell at all?”
Design rules
- Prefer exact playbook language over generic advice like “build rapport.”
- Keep each suggestion under about 90 words.
- If the call is already progressing well, stay quiet (needsSuggestion: false).
- Coach the seller; never speak as the company to the prospect.
- Do not invent product claims, discounts, coverage, or legal commitments.
Stay in discovery when
Motivation, occupancy, condition, decision-makers, or coverage needs are still vague. Cue the next diagnostic question from your sequence—not a close.
Advance the close when
Impact and process are clear, the other party is engaged, and the call is ending without a dated next step. Cue a specific ask: calendar hold, property walk, needs-analysis appointment, or named stakeholder follow-up.
Live overlay details: live agent assist. For discovery-stage question banks, use the AI sales discovery playbook.
What does a strong pre-call preparation workflow look like?
Pre-call prep is how the coach starts with context instead of a cold overlay. Use the materials Amotions already supports: uploaded playbooks, pre-call questions, pasted lead notes, and calendar-connected meetings.
Paste the lead, not the whole CRM
Paste portal or lead fields into pre-call notes—or upload a short brief—even when CRM sync is still manual. Property type, budget, community, policy type, or owner name should be in the first-minute context. Do not assume a native HubSpot or Salesforce coaching module; overlay and upload are the published path unless a connector is confirmed.
Answer pre-call questions if they appear
Organization pre-call questions tailor coaching to the conversation you are about to have. Treat them as part of the playbook, not optional trivia. Keep answers short and factual.
Connect the calendar for meeting context
Authorize Google or Microsoft calendar so upcoming meetings can support pre-call preparation. Verify that the right meetings appear before you rely on that context live.
Roleplay the scenario before live risk
Practice the same objections and process that will coach the real call. For new hires on high-stakes motions, require a roleplay pass before live coverage—the same pattern a top US commercial real estate firm publishes as an operational gate, not a revenue claim.
Practice the same scenarios in AI sales roleplay before the overlay goes live.
How should you score calls and run QA after the conversation?
After the call, feedback should tie to your process—not a generic talk-time dashboard. Published Amotions scorecards cover discovery, objections, listening, next steps, and MSCEIT-informed emotional intelligence. Teams on Professional and Enterprise can add custom criteria. The over-questioning penalty below is an example of a custom criterion you can add; it is not a separate named product feature.
| Criterion | What good looks like | Source |
|---|---|---|
| Listening | Lets the other party finish, reflects back what was said, and does not stack a second question over an answer. | Published |
| Discovery depth | Runs the required sequence: pain or motivation, impact of inaction, environment, decision process—before pitching product or price. | Published |
| Objection recovery | Isolates the real concern (fit, timing, authority, risk) and uses approved language. Does not invent a discount or coverage claim. | Published |
| Emotional intelligence | Pacing, warmth, empathy, and composure when the conversation tightens—MSCEIT-informed criteria, not keyword matches alone. | Published |
| Next-step clarity | Leaves with a named action, date, and the right attendees. “I’ll follow up” is not a next step. | Published |
| Over-questioning penalty | Does not interrogate. After two unanswered stacked questions, the score should drop. Add this as a custom scorecard criterion—it is not a separate named product feature. | Custom (add on Professional / Enterprise) |
| Talk-track / prompt adherence | Managers can review whether approved prompts were followed on real calls after the fact. Use this as the QA loop, not as a claim the seller read a script aloud. | Published |
Scorecard product page: AI call scoring. Managers still own judgment; AI covers day-to-day process reminders and flags where sellers diverged from the playbook you trained.
How do you iterate from scores back into the playbook?
Post-call feedback highlights where calls matched or missed your process. Leaders use recurring patterns to refine scripts, objection handling, and coaching rules so the AI improves with the team. Sequence calibration before coverage.
Review scores and prompt adherence
Look at discovery, objections, listening, next steps, and EI together—not a single vanity average. Note where sellers ignored a prompt, or where prompts fired when the call was already progressing.
Update the playbook and coaching rules
Tighten triggers, replace generic lines with exact words, add missing objections, and write close-advancement rules if calls keep ending soft. Treat this like enablement ops, not a one-time IT project.
Re-train roleplay on the new version
Run the same personas against the updated materials until scores match the standard managers already use. Typical framing: send the playbook folder, calibrate about a week with your training team, then pilot.
Test on a limited set of live calls
Enable private live prompts on priority call types first. Expanding too early surfaces generic prompts and erodes manager trust. The 30/60/90 plan is: days 0–30 calibrate and gate roleplay; days 31–60 limited live coverage; days 61–90 expand and huddle on scorecards.
Sequence the rollout with the 30/60/90 AI roleplay and live coaching plan.
How do custom playbooks work for real estate, insurance, and CRE?
Use one coaching brain and different playbook packs. Upload the talk tracks that belong to that desk—acquisitions, insurance, CRE, or another high-stakes motion.
Real estate acquisitions / motivated-seller calls
Load distress and timeline questions, occupancy and condition discovery, spouse/decision-maker rules, and disqualifiers (already listed, not motivated, no path to an appointment). Discovery before offer talk; close-advancement is a property walk or a dated offer review, not another round of curiosity. Pair this guide with the real estate acquisitions solution page and the motivated-seller playbook, plus brokerage and high-volume phone-team coaching.
Insurance rebuttals
Insurance playbooks live or die on approved language. Upload carrier-safe rebuttals for price, incumbent, “I need to think about it,” and spouse stalls. Configure coaching so prompts stay inside disclosures and do not invent coverage, pricing, or legal advice. Roleplay the rebuttal tree, then use the private overlay on live needs-analysis and closing calls. Score objection recovery and next-step clarity on every conversation you review.
CRE owner conversations
Commercial owner calls are high-stakes and uneven across new brokers. Architect the playbook around listing pitches, incumbent objections, bring-me-a-buyer asks, and fee conversations. A published operational pattern from a top US commercial real estate firm: scored roleplay as a gate before live owner conversations, live overlay on the call, and manager review of prompt adherence. That is process proof—not a CRE revenue claim. Do not copy hearing-health outcome figures onto CRE.
What mistakes weaken custom playbooks?
Most weak rollouts are enablement problems, not model problems. Use this checklist before you expand live coverage.
Too many prompts
If every pause fires a card, sellers ignore the overlay. Budget the cards. Stay quiet when the call is already progressing. Calibration quality beats coverage volume.
Generic language
“Ask an open-ended question” is what generic AI already does. Replace it with your discovery framework: ask about X before discussing pricing. Exact words beat platitudes.
No scoring criteria
Without a rubric, roleplay scores and live QA drift. Start with published criteria (listening, discovery, objections, next steps, MSCEIT-informed EI), then add custom criteria your managers already coach.
No close-advancement rules
Playbooks that only list discovery questions produce endless interviews. Write the exit: what must be true to ask for the meeting, the walkthrough, or the application.
Live prompts before calibration
Turning on every dial on day one surfaces generic prompts and burns trust. Upload, roleplay, then limited live coverage—typically about one week of calibration before the overlay should feel like your team.
Treating “train” as model fine-tuning
On this site, training means loading playbooks, scripts, products, objections, and coaching rules. It is not a claim of default foundation-model fine-tuning. Do not sell the rollout as a custom LLM project.
How do you start building a custom playbook in Amotions AI?
Follow the same workflow the product is designed for: upload → define process → add objections → configure coaching → practice → live overlay → review scorecards. Personalization is on Professional and Enterprise.
What should you upload and define in an Amotions playbook?
Collect playbooks, scripts, product sheets, brand voice, scoring criteria, objections, process stages, pricing guardrails, disqualifiers, and tribal knowledge. Upload those materials so coaching is company-specific.
How should you architect a playbook for high-stakes calls?
Map stage exits, keep a small prompt budget, separate discovery cues from close-advancement cues, and use this-call listening plus pre-call notes—not an invented persistent seller profile.
How do you design coaching cards and real-time prompts?
Write each card as trigger, why it matters, and exact words. Keep suggestions under about 90 words. Stay quiet when the call is already progressing. Prompts stay inside your guardrails.
What does a strong pre-call preparation workflow look like?
Paste lead fields into pre-call notes, answer organization pre-call questions, connect the calendar for meeting context, and roleplay the scenario before live risk.
How should you score calls and run QA after the conversation?
Score listening, discovery depth, objection recovery, MSCEIT-informed emotional intelligence, and next-step clarity. Add custom criteria such as an over-questioning penalty on Professional or Enterprise.
How do you iterate from scores back into the playbook?
Review scores and prompt adherence, update scripts and coaching rules, re-run roleplay, then test on a limited set of live calls. Calibration typically takes about one week.
Frequently asked questions
How do I build a custom playbook in Amotions AI?
Upload playbooks, scripts, objections, product knowledge, brand voice, and scoring criteria; define process stages and close-advancement rules; then practice in AI roleplay, use a private live overlay, and review scorecards. Calibration typically takes about one week. “Train” means knowledge loading, not foundation-model fine-tuning.
Which Amotions plans include custom playbooks and personalized scoring?
Playbook personalization and custom AI agents are on Professional at $99 per seat per month and on Enterprise. Basic and Starter include AI Coach, AI Roleplay, and Real-time AI without personalization. Start free on Basic, then upgrade when you are ready to load company playbooks.
Does the live coach remember seller details from past calls?
The overlay listens dynamically on the current call and can use pre-call notes you paste (portal or lead fields, a short brief, or pre-call questions) plus calendar meeting context. That is this-call listening plus prep—not a persistent cross-call seller profile or automatic CRM memory unless a connector is confirmed.
Can I add custom QA criteria like an over-questioning penalty?
Yes on Professional and Enterprise. Published scorecards already cover discovery, objections, listening, next steps, and MSCEIT-informed emotional intelligence. An over-questioning penalty is a custom criterion teams can add—not a separate named product feature. Keep live suggestions under about 90 words and stay quiet when the call is already progressing.
Does Amotions train on my company’s playbook or use generic coaching?
Both exist as a contrast: generic AI often says “ask an open-ended question.” A company-trained coach uses your discovery framework, objections, and stage rules. Loading playbooks, scripts, product information, pricing guardrails, objection paths, brand voice, and tribal knowledge is how Amotions stays company-specific across roleplay and live calls. “Train” means knowledge loading and configuration—not default foundation-model fine-tuning.
What should I upload to build a custom playbook?
Upload the materials enablement already owns: sales playbooks, discovery frameworks, qualification criteria and disqualifiers, product info, pricing guardrails, objection handling and approved responses, scripts, closing frameworks, brand voice, industry terminology, scoring criteria, and tribal knowledge.
How do I keep real-time prompts from talking over a good call?
Design fewer, higher-leverage coaching cards. Keep each suggestion under about 90 words, use exact playbook language, and stay quiet when the call is already progressing. Too many prompts is the most common rollout mistake.
How long does playbook calibration typically take?
Amotions AI typically calibrates to uploaded language in about one week so roleplay scores and live prompts reflect the firm’s process rather than a generic script library. The 30/60/90 rollout then limits live coverage until managers trust the scorecard.
How do post-call scores improve the playbook?
Post-call feedback highlights where calls matched or missed your process. Leaders use recurring patterns to refine scripts, objection handling, and coaching rules, then re-run roleplay before expanding live prompts.
Related playbook and coaching pages
Train your AI sales coach on your process
Customize Amotions with your playbooks, product knowledge, pricing, scripts, and brand voice for company-specific coaching.
Turn your playbook into a live AI coach
Upload or paste a playbook, qualify your team, and preview a tailored pilot outline.
Custom AI sales coach trained on company knowledge
Answer-first guide: train an AI sales coach on your playbook, objections, and process—with proprietary-knowledge clarity.
AI sales roleplay practice before live calls
Rehearse discovery, objections, and closes with score-based feedback.
AI call scoring with MSCEIT-informed scorecards
Skill-specific call scores managers and sellers can coach from.
AI sales discovery playbook
Nine-stage sales discovery question framework with mandate decoding, sponsor access, and build-vs-buy questions.
AI sales coach for real estate acquisitions
Private live coaching for motivated-seller calls: objections, tonality, discovery vs close, custom playbooks, and post-call scoring.
Live agent assist for sales calls
Real-time AI coaching during sales calls—private next-best questions for discovery, objections, and closing.
Book an Amotions AI demo with your sales talk tracks
Request a live walkthrough of real-time coaching and AI roleplay for your team.
Start a free Amotions AI trial for live call coaching
Create an account to try AI roleplay and real-time guidance.
Amotions AI product overview for real-time call coaching
See how Amotions AI combines live guidance, AI roleplay, and post-call feedback in one platform.
Build the playbook your team already sells from
Bring objections, talk tracks, and scoring criteria. We will show how Amotions loads that knowledge into roleplay, a private live overlay, and post-call QA—without claiming foundation-model fine-tuning.