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GoHighLevel AI agent testing and prompt optimization for agencies whose agents were tuned by feel

GoHighLevel AI agent testing and prompt optimization that replays the same conversations on every prompt version and scores the answers

Conversation AI agents answer whatever a contact types, so testing means running a fixed set of realistic conversations before every prompt change and comparing the new answers with the old, not trying a few messages by hand. BoldBellows writes down what the agent is allowed to say and do, and collects real conversations from your inbox, before a single prompt is changed, replays the same set of conversations on every prompt version, scores the answers against your rules and keeps the winning version only when it beats the old one, then builds GoHighLevel AI agent testing and prompt optimization as a repeatable bench: thirty to fifty real conversations are drawn from the inbox with names removed, grouped into the situations that matter such as pricing questions, booking requests, complaints and attempts to push the agent off topic, each is paired with a short description of a good answer and a bad one, and every prompt version is run against the set and scored. The scores sit side by side, so a change that fixes one case and breaks two is visible. You receive the test set, the score sheet and a short list of prompt changes that earned their place. Custom GoHighLevel AI agent testing and prompt optimization can be repeated for each client agent.

View Pricing

From $1,180, paid once. GoHighLevel AI agent testing.

  • GoHighLevel AI agent testing
  • A saved set of real conversations
  • Prompt versions scored
GoHighLevel AI agent testing and prompt optimization with a saved conversation set scored on every prompt version, built by BoldBellows

What the HighLevel Agency AI route guarantees before it goes live

  • Real conversationsdrawn from the inbox, names removed
  • Good and bad answers definedbefore any scoring
  • Every version replayedsame set, same rules
  • Side-by-side scoresa fix that breaks two others shows
  • Plain-language notesOperators get notes written for operators, not developers
  • No meter running$1,180 covers design, build, tests and handover; nothing accrues afterwards

B2Before and after

A prompt edited after one bad chat can quietly make three other chats worse

An owner screenshots a strange reply from the agent, the agency tightens the prompt, tries the same message and sees a better answer. Nobody tries the pricing question, the cancellation request or the contact who asks about a competitor. A week later the agent is polite but refuses to quote a price. Prompts grow longer and more contradictory with each patch, and nobody can say which sentence is responsible for which behavior. Clients ask whether the agent is getting better, and the honest answer is that nobody has measured.

Sound familiar?

A fix that broke three other answers

Only one chat was tried.

A longer and longer prompt

Each patch added a sentence.

Pricing questions refused

A rule was too broad.

No record of what changed

Versions were not saved.

A client asking if it improved

Nobody had measured.

Off-topic pushes unchecked

The agent was never tested on them.

The same agent, improved one measured change at a time

Before

Before HighLevel Agency to AI Agent Testing and Prompt Review automation: manual leads exports, duplicates and broken formulasThe old way: a spreadsheet with a duplicated lead, #N/A and #REF! errors and a note asking which row is right.leads (2).csvstage changes v3.csvleads_export_FINAL_v3.xlsxLeadSub-accountBookedStatus#1048Maya Chen$86.40Won#1049Omar Hale$142.00Won#1049Omar Hale$142.00Duplicate#1050Lena Brooks#N/AWon#1051Sam Ortiz$210.35#REF!Which row isthe right one?
  • Whatever HighLevel Agency sends, AI Agent Testing and Prompt Review receives
  • Prompts are edited after one bad chat
  • Nobody knows if the agent is improving

After

After HighLevel Agency to AI Agent Testing and Prompt Review automation: one clean test set that matches HighLevel AgencyThe new way: a five-week calendar grid coloured by daily net monthly revenue, from low to high.Booked monthly revenue by dayLast 5 weeksMTWTFSS9k13k13k14k18k15k19k19k16k16k20k16kLowHighUpdated live
  • The agent, the prompt version and the test conversation ties the AI Agent Testing and Prompt Review test conversation to the HighLevel Agency event
  • Every prompt version is replayed on the same set
  • Scores show what improved and what regressed

D4How it works

How a prompt change becomes a measured result you can keep or reject

Events are filtered, keyed, searched and then written, with a record at each stage.

How HighLevel Agency to AI Agent Testing and Prompt Review automation works: leads in, one clean test conversation each, on a scheduleYour HighLevel Agency agency sends data through a read-only link to the BoldBellows sync, which removes duplicates and handles stage changes, then fills your AI Agent Testing and Prompt Review on your schedule.Your HighLevelagencyContacts,pipelines,LeadsActive leadsStage changesBoldBellows syncReads only, writes onceNo duplicate test conversationsEdits and stage changes updateYour time zone and settingsYour test conversationsetPrompt versions,reports and aRead-onlyYour scheduleHow HighLevel Agency to AI Agent Testing and Prompt Review automation works: leads in, one clean test conversation each, on a schedule, stacked: your agency, the BoldBellows sync, then your test conversation set.Your HighLevel agencyContacts, pipelines, workflowsLeadsActive leadsStage changesBoldBellows syncReads only, writes onceNo duplicate test conversationsEdits and stage changes updateYour time zone and settingsYour test conversationsetPrompt versions, reports and adashboardRead-onlyYour schedule

1. Receive, log, qualify

The event arrives from HighLevel Agency, is logged with its identifiers, and is qualified or set aside.

2. Collect, define, replay

Real conversations are gathered, good and bad answers are defined for each, and every prompt version is replayed against the set.

3. Score, compare, keep

Answers are scored against your rules, versions are compared side by side, and only a version that beats the old one is kept.

E5Inside your test set

How testing works: collect, replay and score

Direct makes the route safe to run. Managed makes it complete. Watchful makes it last.

What lands in your test set: leads, prompt versions and reports from HighLevel AgencyAI Agent Testing and Prompt Review split view: raw leads scroll in on one prompt version while a summary prompt version fills itself with totals and a trend line.LeadsSummaryLeadSub-accountBooked#1053Kai P.$58.00#1054Zoe L.$142.50#1055Ben R.$31.20#1056Ada M.$96.00#1057Noah S.$74.75#1058Eva T.$210.00#1059Liam D.$44.10#1060Mia K.$88.30#1053Kai P.$58.00#1054Zoe L.$142.50#1055Ben R.$31.20#1056Ada M.$96.00#1057Noah S.$74.75#1058Eva T.$210.00#1059Liam D.$44.10#1060Mia K.$88.30auto-fillsLeads1,2041,208Booked monthly revenue$48.2k$48.4kStage changes1213Booked monthly revenue, last 14 daysLeadsOpportunitiesDaily leadsActive leadsStage changesRebillsSub-accountsDashboard

Direct

Source state reader

Reads the current HighLevel Agency state behind the event so stale or partial notices are not acted on.

Direct

Stable identity ledger

Writes the HighLevel Agency identifiers, the model-run ID and the outcome to one ledger, which is how a later review finds what happened.

Direct

Required-field check

Stops an incomplete HighLevel Agency record before it produces a half-filled test conversation in AI Agent Testing and Prompt Review.

Managed

Conversation set

Holds real, anonymized conversations grouped by situation, each with a note on a good and a bad answer.

Managed

Version replayer

Runs every prompt version against the whole set under the same conditions.

Managed

Rules scorer

Scores each answer against the rules you wrote for tone, accuracy and limits.

Watchful

Side-by-side report

Shows two versions together with the cases that improved and regressed.

Watchful

Prompt change log

Records each change, the reason and the result so the history is clear.

Watchful

Ownership map

Shows who is responsible for each class of exception between HighLevel Agency and AI Agent Testing and Prompt Review.

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G7Who it is for

Who uses this: automation consultants, all needing to find out whether your Conversation AI agent answers well before your customers do, and improve it one measured prompt change at a time

An AI agent that talks to your customers needs the same discipline as any other part of the business: measure it, then change it.

Agency owner

"Prove the agent improves."

Scores show the trend for each client.

Client-success lead

"Answer 'is it getting better?'"

A report compares this month with last.

Automation specialist

"Stop patching blindly."

Each change is tested against the whole set.

Business owner

"Trust what it says."

Awkward cases are tested before launch.

Sales manager

"Keep quotes accurate."

Pricing conversations are in every test run.

Support lead

"Catch off-topic drift."

Push-off cases are scored every time.

Budget is driven by test conversations, prompt versions and scores

Pricing a test bench: agents and conversations

The price and timeline move as you answer, from $1,180.

View Pricing

One setup fee

I9Your options

Choose your route from HighLevel Agency to AI Agent Testing and Prompt Review: a few messages typed by hand after each prompt edit, zap or a test set of real conversations, scored on every prompt version, with the results side by side

Each can edit a prompt. Only one tests the change against the same conversations and keeps it only if it wins.

Comparison table: Choose your route from HighLevel Agency to AI Agent Testing and Prompt Review: a few messages typed by hand after each prompt edit, zap or a test set of real conversations, scored on every prompt version, with the results side by side
How agents get tunedEdits by feelA fix that breaks othersOur test bench
What starts the workWord of mouth in the teamEvery delivery attemptAn event admitted by rule, not by default
How identity is decidedA manual lookup each timeA field anyone can editA prompt patched after one screenshot
What reaches AI Agent Testing and Prompt ReviewAnything that fits the formA single-step writeA tested change with side-by-side scores
After an uncertain resultDiscovered at month endTries again without checkingHolds the case with evidence for an owner
By handstops to export, copy, paste, fixAutomatedno stops · every 15 minutes

Old news arrives after new

Each event carries its own time, and the route applies it only if it is newer than what AI Agent Testing and Prompt Review already shows.

A new prompt fixes the cancellation answer and makes pricing answers vague

The side-by-side report shows two regressions in the pricing group, the version is rejected and the cancellation fix is rewritten. With the agent, the prompt version and the test conversation the route can say whether the work is missing, done, off, or unclear, and it says so in the log. Matching and differing records are handled separately; only a missing one is created.

Choosing the agent, the prompt version and the test conversation is step one; the field map and the branches are built on top of it.

Pricing

Build your HighLevel Agency AI Agent Testing and Prompt Review price

Pick a package, answer three short questions about how HighLevel Agency data should reach AI Agent Testing and Prompt Review, 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 HighLevel Agency to AI Agent Testing and Prompt Review route.

A focused production route for one HighLevel Agency event family and one governed agent testing queue, delivering GoHighLevel AI agent testing and prompt optimization that replays a saved set of real conversations on every prompt version and scores the answers against your rules with identity, evidence and failure controls from day one.

  • One approved GoHighLevel Services event family and business-state admission rule within the GoHighLevel AI Agent Testing and Prompt Optimization service.
  • One authorized account, workspace, organization, or base boundary within the GoHighLevel AI Agent Testing and Prompt Optimization service.
  • One GoHighLevel AI Agent Testing and Prompt Optimization object contract with field and relationship mapping
  • Stable matching through HighLevel agency plus location, sub-account, snapshot, workflow, contact, conversation, agent, action, generation, subscription, charge, or dashboard record ID and source identity paired with the authoritative gohighlevel ai agent testing and prompt optimization record, run, conversation, document, tool call, transaction, or decision identifier
  • Tests for duplicates, stale events, malformed data, denied access, and timeouts within the GoHighLevel AI Agent Testing and Prompt Optimization service.
  • Implementation map, test record, and premium PDF operations handover within the GoHighLevel AI Agent Testing and Prompt Optimization service.

Adds branching, existing-record matching and a bounded historical pass for teams whose HighLevel Agency signals need more than one approved agent testing path, while still delivering GoHighLevel AI agent testing and prompt optimization that replays a saved set of real conversations on every prompt version and scores the answers against your rules.

  • Everything in Core
  • Up to four approved routing or state-transition branches within the GoHighLevel AI Agent Testing and Prompt Optimization service.
  • Existing-record resolution and one bounded historical checkpoint within the GoHighLevel AI Agent Testing and Prompt Optimization service.
  • Lookup-before-replay protection for uncertain writes
  • Named exception ownership and a decision-ready evidence packet within the GoHighLevel AI Agent Testing and Prompt Optimization service.
  • Field, permission, and destination-state validation before mutation within the GoHighLevel AI Agent Testing and Prompt Optimization service.

Adds reconciliation, drift detection and an aged-exception report for teams that now depend on agent testing proposals every day.

  • Everything in Managed
  • Scheduled source-to-destination reconciliation
  • Schema, field, scope, and webhook drift checks within the GoHighLevel AI Agent Testing and Prompt Optimization service.
  • Volume-aware retry ceilings and stale-event protection
  • Aged-exception reporting with ownership status
  • Thirty-day release watch and operating review

For GoHighLevel AI Agent Testing and Prompt Optimization, 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 HighLevel Agency changes should be allowed to start an AI agent testing decision?Required

Governed lifecycle set: Use this when several documented HighLevel Agency states must converge on one agent testing decision.

How should a HighLevel Agency record that already has an AI agent testing decision be recognized?Required

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

What should happen when an AI agent testing action can't be confirmed?Required
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.

J11The process

Six steps from tuning by feel to testing by set

A short, repeatable process of six steps, ending in a launch review.

  1. Collect the conversations

    We draw real conversations from the agent's inbox, remove names and group them by situation.

    Day 1
  2. Approve access

    Read access to the HighLevel Agency objects in scope is set up, the model connection is agreed, and the approval path is written down.

    Access review
  3. Agree what good looks like

    For each situation, a good and a bad answer are described, and the scoring rules are signed off.

    Build phase
  4. Test what goes wrong

    Duplicate deliveries, slow events, blank fields and denied permissions are run in a test copy of AI Agent Testing and Prompt Review.

    Before you review
  5. Launch with notes

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

    Release day
  6. Launch support

    For a short period after launch we respond quickly to anything unexpected in the live route.

    Day 1
Handover for HighLevel Agency to AI Agent Testing and Prompt Review automation: notes, a checked run and a health checkHandover timeline: brief, map, build, test, hand over and a week of support, with the current step highlighted.From first brief to a test set that runs itself1Brief1 page2MapFields3BuildSync4TestEdge cases5Hand overPDF pack6Support1 weekClear scopeSet onceTested on real leadsZero duplicatesOwned by youPlain notes

K12Turnaround

How long the AI Agent Testing and Prompt Review packages take

Timing begins when HighLevel Agency access, the model connection and the approval path are agreed.

Direct

6 to 10 business days

Managed

10 to 16 business days

Watchful

16 to 24 business days

L13Getting started

What we ask of you

Authorization to reach the HighLevel Agency objects in scope

Read access to the agent's conversations, its current prompt and a short note on what it must never say

Test records in HighLevel Agency for the acceptance runs

Names of the people who decide when an account change is valid

Your rule for what to do when HighLevel Agency and AI Agent Testing and Prompt Review disagree

A decision on whether history should be loaded or only new events

M14Safety and ownership

A route that borrows access, never rewrites your tools

We read what the route needs from HighLevel Agency, send the model the least it needs, and keep a record of every proposal and decision.

Read-only HighLevel Agency to AI Agent Testing and Prompt Review access: your data stays yoursA test conversation set covered by a padlock with a note that you own it and access is read-only.Leads (read-only)You own itRead-only access

Reversible by design

Because nothing inside HighLevel Agency or AI Agent Testing and Prompt Review is modified, switching the route off returns both tools to how they were.

Scoped, revocable access

Permissions are written down, minimal and reversible.

A purpose for every field

Each mapped field has a reason recorded beside it, so a later review can tell why it was sent.

Find first, write second

The route finds the test conversation through the agent, the prompt version and the test conversation before choosing between create, update and leave alone.

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.

N15In their words

What BoldBellows clients say

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

AI CRM Automation

Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.

Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.

David KimVerifiedSeoul, South Korea

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 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 Booking & Scheduling Automation

Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.

No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.

Emily CarterVerifiedLondon, United Kingdom

AI Translation & Localisation

When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.

The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.

Kenji NakamuraVerifiedOsaka, Japan

AI HR & Recruitment Automation

Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.

It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.

Olivia MartinezVerifiedAustin, USA

AI Accounting & Invoice Automation

BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.

Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.

Ravi PatelVerifiedNew Delhi, India

AI Data Entry & Reporting Automation

We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.

The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.

Sarah MüllerVerifiedZurich, Switzerland

AI E-commerce Listings Automation

BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.

It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.

Pedro LimaVerifiedSão Paulo, Brazil

P16FAQ

Testing GoHighLevel agents: questions from agencies

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

PriceTimeAccessHandover?Every question, answered
Why not just add an AI step to a HighLevel Agency automation?

To get an agent that gets better with each change instead of drifting, a connector will do. To change a prompt and know whether the answers improved, stayed the same or got worse, you need a designed route. Each of those is covered, tested and handed over in writing.

How many conversations are in a test set?

Usually thirty to fifty, chosen to cover the situations that matter most, including the awkward ones.

Whose conversations are used?

The agent's own, with names and contact details removed, and only with your client's permission.

How are answers scored?

Against the rules you approve for accuracy, tone and limits, with a short reason beside each score.

Can the test run after every change?

Yes. Any new prompt version can be replayed against the same set, and the results are compared with the last version.

Do you rewrite the prompt?

We propose changes that the scores support, and you decide which to keep.

How much does GoHighLevel AI agent testing cost?

One written price, set by the number of agents and the size of each test set.

Is field mapping for the model included in the GoHighLevel AI Agent Testing and Prompt Optimization service?

It is never an extra. The field map says which HighLevel Agency fields the model may see and which proposal fields may be written back.

Can different HighLevel Agency teams have different rules?

Yes. Branching rules and approval steps tailor the HighLevel Agency AI route to your process, from $1,180.

Who maintains the route when HighLevel Agency changes its API?

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.

Q17Know whether your agent really improved

Give your agent a bench that measures every prompt change

Name the trigger, the proposal you want and the approver. That is enough to scope an AI route for HighLevel Agency, from $1,180.

  • From $1,180, paid once
  • Same set every time
  • Scores side by side
  • No monthly fee from us

Unusual volumes or extra systems are quoted on request.