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BoldBellowsAI run-of-show drafting for planners who write the same timeline for every event

AI event run of show creation that drafts cues, owners and buffers for the lead planner to approve

A run-of-show is the minute-by-minute document that the venue, the caterer, the audio crew and the emcee all work from, so one wrong time in it travels to every one of them. BoldBellows records the event, the date, the venue and the list of fixed commitments before the model reads anything, gives the model only the schedule facts it needs and holds every draft for the lead planner to edit and approve, then builds the route around ai event run of show creation: the event brief, the venue's load-in and curfew times, the vendor arrival windows and the program order go in, and a drafted timeline comes out with cues, owners, buffers and a backup for each weather-dependent segment. Every draft is a proposal. A time that depends on a vendor or the venue is marked unconfirmed until that party confirms it, and the lead planner edits and approves the final version before it is shared. The draft saves the typing; it does not decide when the cake is cut.

View Pricing

One-off setup from $1,680
No monthly subscription

  • AI run-of-show drafts
  • Unconfirmed times flagged
  • Planner approves every draft
AI event run of show creation that drafts cues, owners and buffers from an event brief, flags unconfirmed vendor times and holds each timeline for planner approval, built by BoldBellows
Event Planning to AI Run-of-Show Creation: synced, zero duplicate cuesStatus chip: synced 2 minutes ago, zero duplicate cues, stamped filed.Synced 2 min ago0 duplicate cuesFILED
Plate I. An event brief turned into a draft timeline, with unconfirmed times flagged for the planner.
  • Fixed times first from venue and brief
  • Unconfirmed flagged until a vendor confirms
  • Owner on every cue one named person
  • Planner approves before anyone sees it
  • Reviewable mapping The field map is documented and signed off before launch
  • No meter running $1,680 covers design, build, tests and handover; nothing accrues afterwards

Chapter 01 the blank-timeline problem

A timeline written the night before carries every tired mistake into the day

Most planners write a run-of-show from a blank sheet, or from last month's event with the names changed. The times that matter are scattered: load-in sits in the venue contract, arrival windows sit with the caterer and the program order sits in an email from the client. A model can do the stitching quickly, but it can also invent a plausible 5:45 for a toast, and an invented time that looks real is worse than an empty cell.

The first time a draft showed which vendor times were still unconfirmed, we sent three messages we would otherwise have forgotten.

Field notes from a planning team

Blank-sheet timelines

Each one started from zero.

Times from memory

Nobody checked the contract.

Guessed vendor arrivals

The vendor never confirmed.

Before

Before Event Planning to AI Run-of-Show Creation automation: manual events exports, duplicates and broken formulasThe old way: an overflowing inbox tray of exports, one sheet with a duplicated event circled in red pencil, and a note asking to redo it every Monday.EVENTS_EXPORT_FINAL_V3#1041Mia R.8#1042Jon K.13#1042Jon K.13#1043Ana S.#REF!#1044Lee W.6TO FILE · MONDAYRedo everyMonday?
Fig. 2a. A timeline typed from scratch.

After

After Event Planning to AI Run-of-Show Creation automation: one clean timeline that matches Event PlanningThe new way: a tidy ledger of events with cancellations, a total, and an up to date stamp.EVENTS · SEPTEMBEREvery event, onceEVENTCLIENTCANCELLATIONHELD#1041Mia Rowe–8#1042Jon Kessler213#1043Ana Silva–6#1044Lee Wong–21#1045Ivy Park–5TOTAL5358UP TO DATE
Fig. 2b. A draft with owners and flagged times.

Before

  • A second delivery makes a second draft timeline
  • The timeline starts blank and guessed times look like facts
  • Edits live in three copies that disagree

After

  • The AI run-of-show draft recognizes its own work through the event, the segment and the draft recorded
  • The draft starts from fixed times and flags everything unconfirmed
  • One approved version goes out and changes are listed

Chapter 02 How it works

How a brief becomes a timeline with an owner on every cue

An event becomes a draft timeline in three stages, each with its own evidence.

How Event Planning to AI Run-of-Show Creation automation works: events in, one clean cue each, on a scheduleIn three numbered figures: your planning business with a stream of events, the sync that checks every cue once with zero duplicates, and your timeline gaining one cue per event.FIG. 1Your planning businessEvents and capacityFIG. 2The syncChecks every cue onceFIG. 3Your timelineOne cue per event#1046 Mia R. 13#1047 Jon K. 7#1048 Ana S. 6#1049 Lee W. 21#1046 Mia R. 13#1047 Jon K. 7#1048 Ana S. 6#1049 Lee W. 210DUPES12CANCELLATIONSEventHeld#104613#10477#10486#104921How Event Planning to AI Run-of-Show Creation automation works: events in, one clean cue each, on a schedule, stacked in three figures: your planning business, the sync, your timeline.FIG. 1Your planning businessEvents and capacityFIG. 2The syncChecks every cue onceFIG. 3Your timelineOne cue per event#1046 Mia R. 13#1047 Jon K. 7#1048 Ana S. 6#1049 Lee W. 21#1046 Mia R. 13#1047 Jon K. 7#1048 Ana S. 6#1049 Lee W. 210DUPES12CANCELLATIONSEventHeld#104613#10477
Fig. 3. A brief becomes a flagged draft that waits for the planner.

Judge before acting

Before anything is prepared for the AI run-of-show draft, the Event Planning booking change is checked against the agreed admission rule.

Read, place, flag

Fixed times are placed first, the program fills the gaps and anything a vendor still owes is flagged.

Draft, review, release

The draft is filed for the lead planner, edited, approved and only then shared.

What the design assumes about Event Planning and the model

  • A run-of-show is a working document: Venues, caterers and audio crews work from the run-of-show, so a drafted timeline is a starting point that the lead planner edits and approves before anyone else sees it.
  • Fixed times come first: Venue curfews, load-in windows and the ceremony start are entered as fixed times, so the model arranges the rest around them and cannot move them.
  • Replay safety: Because the event, the segment and the draft recorded is stored with each record, replaying an event leaves the AI run-of-show draft unchanged if the work exists.

Chapter 03 What ships in the build

Inside the drafting route: the parts that read, flag and wait

The route grows in three steps: Basic, then Branch, then Guardian.

What lands in your timeline: events, segments and reports from Event PlanningRun-of-show items segment in AI Run-of-Show Creation on ledger paper with timing fields for event, date, client, Package, quantity, net, cancellation and status, a new cue arriving, and a stamp saying last sync 2 minutes ago.PLANNING BUSINESS REPORTING · LINE ITEMSEvery line, onceLAST SYNC 2 MIN AGOEVENTDATECLIENTPackageQTYHELDCANCELLATIONSTATUS#208112 MayA. PatelEVT-CORPO25–Confirmed#208112 MayA. PatelEVT-CORPO12–Confirmed#208212 MayJ. MorenoEVT-GALA16-6Canceled#208313 MayS. OkaforEVT-CORPO410–Confirmed#208413 MayL. ChenEVT-REHEA17-1Partial#208513 MayR. EvansEVT-CORPO35–Confirmed#208714 MayT. NowakEVT-WEDDI14–NewEventsRun-of-show itemsPackages & capacityCancellationsDepositsDaily inquiriesDashboard

Event triage

Looks at each Event Planning booking change and chooses between act, wait and discard, with notes.

Basic

Stable identity ledger

Stores the Event Planning identifier, the model run and the policy version next to each proposal so any decision can be traced back.

Basic

Approved-fields list

Keeps one reviewed list of fields that may reach the AI run-of-show draft and refuses additions without sign-off.

Basic

Brief reader

Pulls dates, venue limits and program order from the event brief.

Branch

Cue and owner drafter

Proposes each cue with a named owner and a buffer.

Branch

Unconfirmed-time flags

Marks vendor times that nobody has confirmed.

Branch

Draft comparison log

Lists what changed between two drafts.

Guardian

Backup plan prompts

Asks for a backup on weather-dependent segments.

Guardian

Operations board

Gives the team one place to see blocked work between Event Planning and the AI run-of-show draft.

Guardian

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Chapter 04 Who this fits

Aimed at nonprofit events teams that want to turn an event brief into a draft timeline with cues, owners and buffers, then review and approve it yourself before any vendor sees it

Planners want a draft to start from, and everyone who works the event wants one schedule that does not change under them.

Lead planner

"Stop typing the same timeline."

The first draft is waiting.

Day-of coordinator

"Know my cues."

Each one has my name.

Catering manager

"See when service starts."

My times stay marked until I confirm.

Events director

"Review one version."

Changes are listed.

Venue contact

"Get a clean schedule."

Only the approved draft is sent.

Client

"Understand the day."

The program reads in order.

Chapter 05 The options

What a timeline typed from scratch in a spreadsheet the night before the event, a zap and a run-of-show drafting route with a planner approving every version each do for the AI run-of-show draft

Each can produce a timeline. Only one keeps fixed times fixed, flags the unconfirmed and holds the draft until a planner approves it.

Comparison table: What a timeline typed from scratch in a spreadsheet the night before the event, a zap and a run-of-show drafting route with a planner approving every version each do for the AI run-of-show draft
Question A blank sheet Copied timelines Our drafting route
What starts the work An admin on a busy day Anything the trigger matches Only changes on your in-scope list
How identity is decided Checked against old notes A lookup that may return several Event brief, segment and draft recorded
What reaches the AI run-of-show draft A handwritten note turned digital The default field set A flagged draft, a named owner per cue and an approved version
After an uncertain result An email thread to sort it out Fails quietly Uses the event, the segment and the draft recorded to settle what already exists
By handstops to export, copy, paste, fixAutomatedno stops · every 15 minutes

A slow event catches up

A late Event Planning notice is compared with the stored checkpoint; anything older than the current draft timeline is closed with a note.

The venue moves the curfew an hour earlier after a draft was approved

The fixed time is updated, the cues after it are flagged for review and a new draft is filed for the lead planner instead of the approved one being edited. It searches the AI run-of-show draft on the event, the segment and the draft recorded, weighs what it finds against the plan and logs the verdict. Only when nothing is found does the route make a new draft timeline.

The event, the segment and the draft recorded links each Event Planning record to its the AI run-of-show draft draft timeline for the life of the route.

Interlude The quote reflects segments, cues and drafts

Cost your run-of-show route, one event type at a time

Choose how far the Event Planning AI route may go, answer three questions and watch the price and timeline respond. Basic opens at $1,680.

View Pricing

One setup fee · Range shown first

Pricing

Build your Event Planning AI Run-of-Show Creation price

Pick a package, answer three short questions about how Event Planning data should reach AI Run-of-Show Creation, and your price and turnaround move as you choose.


Choose your packageRequired

The three packages differ by how much routing, reconciliation and governance sits around the Event Planning to AI Run-of-Show Creation route.

A focused production route for one Event Planning event family and one governed run-of-show creation queue, delivering AI event run of show creation that drafts cues, owners and buffers from your event brief, flags unconfirmed vendor times and holds every timeline for planner approval with identity, evidence and failure controls from day one.

  • One approved Event Planning event family and business-state admission rule within the AI Event Run-of-Show Creation service.
  • One authorized account, workspace, organization, or base boundary within the AI Event Run-of-Show Creation service.
  • One AI Event Run-of-Show Creation object contract with field and relationship mapping
  • Stable matching through agency plus client, event, venue, vendor, proposal, registration, attendee, speaker, sponsor, session, survey, or budget-line ID and source identity paired with the authoritative ai event run-of-show creation record, conversation, asset, transaction, document, or decision identifier
  • Tests for duplicates, stale events, malformed data, denied access, and timeouts within the AI Event Run-of-Show Creation service.
  • Implementation map, test record, and premium PDF operations handover within the AI Event Run-of-Show Creation service.

Adds branching, existing-record matching and a bounded historical pass for teams whose Event Planning signals need more than one approved run-of-show creation path, while still delivering AI event run of show creation that drafts cues, owners and buffers from your event brief, flags unconfirmed vendor times and holds every timeline for planner approval.

  • Everything in Foundation
  • Up to four approved routing or state-transition branches within the AI Event Run-of-Show Creation service.
  • Existing-record resolution and one bounded historical checkpoint within the AI Event Run-of-Show Creation service.
  • Lookup-before-replay protection for uncertain writes
  • Named exception ownership and a decision-ready evidence packet within the AI Event Run-of-Show Creation service.
  • Field, permission, and destination-state validation before mutation within the AI Event Run-of-Show Creation service.

Adds reconciliation, drift detection and an aged-exception report for teams that now depend on run-of-show creation proposals every day.

  • Everything in Controlled Flow
  • Scheduled source-to-destination reconciliation
  • Schema, field, scope, and webhook drift checks within the AI Event Run-of-Show Creation service.
  • Volume-aware retry ceilings and stale-event protection
  • Aged-exception reporting with ownership status
  • Thirty-day release watch and operating review

For the AI Event Run-of-Show Creation service, multi-business-unit routing, unrestricted bidirectional synchronization, regulated archives, unsupported extensions, or additional destination systems receive a separate written quote. Third-party subscriptions and usage charges are excluded.

Which Event Planning changes should be allowed to start an AI run-of-show creation decision?Required

Governed lifecycle set: Use this when several documented Event Planning states must converge on one run-of-show creation decision.

Which Event Planning changes should be allowed to start an AI run-of-show creation decision?Required

Ambiguity queue: Send zero-match and multi-match run-of-show creation cases to a named reviewer instead of letting the model guess.

Which Event Planning changes should be allowed to start an AI run-of-show creation decision?Required

Managed repair case: Give every uncertain run-of-show creation action an owner, a live-state comparison and an approved replay decision.

How soon do you need it live?Required

Standard follows the schedule your other choices set. Pay to move up the queue and go live sooner.

Optional extrasOptional

Each one begins switched off. Turn on what your rollout needs, watch the total, switch it back off.

Chapter 06 The process

Six steps from a blank sheet to a timeline you approve

Six steps, named outputs, and a review after go-live.

  1. About 30 minutes

    Collect your last three timelines

    We read how your past run-of-shows are laid out, how cues are named and which buffers you always add.

  2. Access review

    Approve access

    We set up limited access to Event Planning, agree the model service with you and write down the identifiers that tie each decision together.

  3. Most of the project

    Agree the fixed times and rules

    Which times are fixed, who must approve and how unconfirmed items are marked are written out and approved first.

  4. Before you review

    Try the awkward records

    Unusual, incomplete and repeated records are run through a test the AI run-of-show draft so the route's answers are known.

  5. Handover day

    Launch with notes

    The last step is release: a defined start, a review window and a PDF you can keep.

  6. About 30 minutes

    First-month watch

    With AI Event Run-of-Show Creation in place, the opening weeks are monitored for retries, delays and mismatches, and the results are summarized for you.

Chapter 07 Turnaround

How long the AI Run-of-Show Creation packages take

Days are counted from the moment Event Planning access and the model connection are approved.

Basic

6 to 10 business days

Branch

10 to 16 business days

Guardian

16 to 24 business days

Chapter 08 Getting started

What we ask of you

Authorization to reach the Event Planning objects in scope

Your event brief format, a recent run-of-show you are happy with and the list of vendors and roles you usually assign

The Event Planning events and object types you want included

Which booking changes are urgent and which can wait

The current owner of each the AI run-of-show draft area the route will write to

Notes on any past problems between Event Planning and the AI run-of-show draft

Chapter 09 Trust

Access you can revoke, data you can name

The model receives a trimmed view of Event Planning, and what it suggests is only a proposal until your rule or your reviewer accepts it.

Read-only Event Planning to AI Run-of-Show Creation access: your data stays yoursA planning business ledger under a glass cloche with a read-only tag hanging from the knob, meaning it can be looked at but never changed.Planning business ledgerEvery event, onceREAD-ONLYBehind glass: yours to look at, never to change.

Clean separation

Event Planning keeps doing what it does and the AI run-of-show draft keeps doing what it does; the connection between them is the only new thing.

Scoped, revocable access

Permissions are written down, minimal and reversible.

Allowlist, not blocklist

New fields in Event Planning do not flow into the AI run-of-show draft until someone adds them to the map on purpose.

Idempotent by design

The same event processed twice gives the same result in the AI run-of-show draft, because the event, the segment and the draft recorded decides create or update.

Minimal logging

Evidence of a run is kept as references, not as copies of data.

Full handover

The PDF names each rule, credential and owner so your admins are never guessing.

"A draft is only useful if everyone can see which parts are known and which are guesses, so the build marks the difference on every line."

Steven GrratFounder, BoldBellows

Chapter 10 In their words

What BoldBellows clients say

Verified reviews from business owners who use BoldBellows automations every day, from marketing and data to support and operations.

AI Customer Journey Automation

We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.

It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.

Nadia HassanVerifiedCairo, Egypt

AI Workflow Automation for Agencies

Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.

Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.

Samuel BoatengVerifiedAccra, Ghana

AI Voice Assistant

BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.

Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.

Hannah JohnsonVerifiedChicago, USA

AI Automation Partner

BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.

Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.

Kwame MensahVerifiedKumasi, Ghana

AI Chatbot & Customer Support

BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.

What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.

Maria GonzálezVerifiedMadrid, Spain

AI Content & Social Media Automation

Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.

It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.

Daniel BrooksVerifiedToronto, Canada

AI Lead Qualification & Sales Automation

Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.

It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.

Aisha MohammedVerifiedDubai, UAE

AI Video & Voice Automation

We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.

The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.

Lucas SteinerVerifiedMunich, Germany

AI Email & Smart Inbox Management

Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.

It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.

Chloe AndersonVerifiedMelbourne, Australia

Chapter 11 Questions

AI run-of-show drafting: what planners ask

We collected the questions that decide most purchases and answered them.

PriceTimeAccessHandover?Every question, answered
Is an AI step in an Event Planning zap enough?

A first draft that already knows the fixed times and who owns each cue is something a zap does well. It does not separate confirmed times from guesses, name an owner for each cue or keep the drafts straight. If those matter to you, the build is the right fit; if not, we will say a zap is enough.

What does your ai event run of show creation service include?

A drafted timeline with cues, owners and buffers, flags for unconfirmed times and an approval step for the lead planner.

Can the draft change a time that the venue fixed?

No, fixed times are entered once and the model works around them.

How does the ai event run of show creation workflow treat a vendor arrival time?

It is marked unconfirmed until the vendor confirms it, and the planner decides whether to ask again.

What affects ai event run of show creation cost?

Mainly how many event types you run, how many roles get a schedule and how many tools it connects to.

Does the draft promise that the day will run on time?

No, it is a plan for the planner to approve, and weather, guests and vendors still decide how the day goes.

Who sees the timeline?

Only the people you list, and only after the lead planner approves a draft.

Who decides which Event Planning fields the model sees?

Yes. Each Event Planning field is labeled as shown to the model, hidden from it, or used only for matching, and nothing is built until you sign that list off.

Can the route follow our own approval rules in the AI Event Run-of-Show Creation service?

Yes. Rules can send different Event Planning signals to different prompts, reviewers or thresholds, so the route reflects how you work. Packages start at $1,680.

What if Event Planning changes how it works?

The handover lists every interface the route uses. If one changes, the affected item stops and is flagged instead of being written from a guess. Repairs after your review window are quoted separately.

Give your team a timeline draft that waits for your approval

Describe one Event Planning signal, the help you want and who approves it, and we price the route first. Basic starts at $1,680.

  • From $1,680, paid once
  • Fixed times first
  • Planner approval
  • No monthly fee from us