u/EmbarrassedEgg1268

Spent the last few years implementing AI agents for large enterprises. Big budgets, dedicated teams, months-long procurement cycles. The tech worked. The process was exhausting.

Somewhere along the way I realised I actually prefer working with smaller organisations. You talk directly to the decision maker. Things move fast. And more importantly, small operations are the ones who genuinely need automation the most, but are almost always priced out of it.

So I built We Love Joe (welovejoe) . The idea is simple: an SMB should be able to deploy an AI agent across their channels, WhatsApp, Instagram, email, phone, Messenger, in under 30 minutes. No code, no six-month integration project, no enterprise contract.

Here's what I learned building it though: even when it's simple, businesses want done-for-you. They don't want to learn a platform. They want someone to set it up, make it work, and handle it when something breaks.

That's why I'm opening up an agency partner model.

Agencies get a white-label or referral path, sell their own implementation services on top of the platform, and earn a share of the recurring revenue from every client they bring. They focus on delivering value to clients, we handle the infrastructure, the channel integrations, the technical headaches.

The platform uses a fully deterministic flow builder. You design exactly what conversations and actions can happen in each channel. No black box, no hallucination roulette. Your clients' agents behave predictably.

Only opening 5 slots right now. We have our first clients live and want to keep this tight while we refine the model with partners who are serious about it.

If you run an automation agency, a chatbot consultancy, or you're a freelancer doing AI implementation for SMBs, happy to chat. We have done the heavy lifting for you. Maintenance will be enjoyable.

Came across this recently a customer messaged the same franchise brand through Instagram at two different locations on the same day. One replied in 20 minutes. The other never replied at all. The customer left a 2-star Google review on the second location mentioning they "couldn't even get a response."

The franchisor found out three weeks later.

You can standardise the product, the fit-out, the uniforms. But the moment someone messages or calls, it's completely down to whoever is working that shift and whether they even check that inbox.

Has anyone at a network level actually built a system around this, or is it just treated as a franchisee autonomy problem?

Hey guys, looking for some honest advice here.

I work in tech and have been doing automation for several years now. With the rise of AI, I got really interested in the space and started building a customer support automation tool (basically to handle emails, phone calls, WA from customers etc.).

Recently, I attended a wellness / spiritual retreat. It was honestly an amazing experience, met great people, built real connections, including with one of the yoga teachers there.

Fast forward a bit: this person is now getting more involved in the retreat and is taking on admin responsibilities as well (organizing trips, replying to emails, handling logistics, etc.).

Here’s where things get tricky.

I started talking with the retreat owner about my tool, and he got pretty excited. From his perspective, it could:

• save time
• reduce costs
• streamline operations

Which makes total sense.

But then I had a proper conversation with my friend (the yoga teacher). She asked what I was working on, I explained it, and she thought it sounded great…

Except I don’t think she fully realizes that this kind of tool could directly replace a big part of what she’s currently doing.

And the tough part is:
She actually needs this job right now. Financially, it’s important for her, but 80% of the job is handling basic emails.

So now I’m kind of stuck.

On one hand:

• I’m building a SaaS
• I need more users
• This is a perfect use case and the owner is super excited

On the other hand:

• It could directly impact someone I care about
• And not in a good way

I already opened the conversation with the owner, who’s quite interested, so it’s not like I can just pretend nothing happened.

I’m trying to figure out what the “right” move is here.

Do I:

• keep pushing and treat it like business?
• pause / avoid this specific case?
• be fully transparent with her?
• try to reposition the tool as something that helps rather than replaces?

Curious how you’d approach this.

Would really appreciate your thoughts.

Hey guys, looking for some honest advice here.

I work in tech and have been doing automation for several years now. With the rise of AI, I got really interested in the space and started building a customer support automation tool (basically to handle emails, phone calls, WA from customers etc.).

Recently, I attended a wellness / spiritual retreat. It was honestly an amazing experience, met great people, built real connections, including with one of the yoga teachers there.

Fast forward a bit: this person is now getting more involved in the retreat and is taking on admin responsibilities as well (organizing trips, replying to emails, handling logistics, etc.).

Here’s where things get tricky.

I started talking with the retreat owner about my tool, and he got pretty excited. From his perspective, it could:

• save time
• reduce costs
• streamline operations

Which makes total sense.

But then I had a proper conversation with my friend (the yoga teacher). She asked what I was working on, I explained it, and she thought it sounded great…

Except I don’t think she fully realizes that this kind of tool could directly replace a big part of what she’s currently doing.

And the tough part is:
She actually needs this job right now. Financially, it’s important for her, but 80% of the job is handling basic emails.

So now I’m kind of stuck.

On one hand:

• I’m building a SaaS
• I need more users
• This is a perfect use case and the owner is super excited

On the other hand:

• It could directly impact someone I care about
• And not in a good way

I already opened the conversation with the owner, who’s quite interested, so it’s not like I can just pretend nothing happened.

I’m trying to figure out what the “right” move is here.

Do I:

• keep pushing and treat it like business?
• pause / avoid this specific case?
• be fully transparent with her?
• try to reposition the tool as something that helps rather than replaces?

Curious how you’d approach this.

Would really appreciate your thoughts.

Hey guys, looking for some honest advice here.

I work in tech and have been doing automation for several years now. With the rise of AI, I got really interested in the space and started building a customer support automation tool (basically to handle emails, phone calls, WA from customers etc.).

Recently, I attended a wellness / spiritual retreat. It was honestly an amazing experience, met great people, built real connections, including with one of the yoga teachers there.

Fast forward a bit: this person is now getting more involved in the retreat and is taking on admin responsibilities as well (organizing trips, replying to emails, handling logistics, etc.).

Here’s where things get tricky.

I started talking with the retreat owner about my tool, and he got pretty excited. From his perspective, it could:

• save time
• reduce costs
• streamline operations

Which makes total sense.

But then I had a proper conversation with my friend (the yoga teacher). She asked what I was working on, I explained it, and she thought it sounded great…

Except I don’t think she fully realizes that this kind of tool could directly replace a big part of what she’s currently doing.

And the tough part is:
She actually needs this job right now. Financially, it’s important for her, but 80% of the job is handling basic emails.

So now I’m kind of stuck.

On one hand:

• I’m building a SaaS
• I need more users
• This is a perfect use case and the owner is super excited

On the other hand:

• It could directly impact someone I care about
• And not in a good way

I already opened the conversation with the owner, who’s quite interested, so it’s not like I can just pretend nothing happened.

I’m trying to figure out what the “right” move is here.

Do I:

• keep pushing and treat it like business?
• pause / avoid this specific case?
• be fully transparent with her?
• try to reposition the tool as something that helps rather than replaces?

Curious how you’d approach this.

Would really appreciate your thoughts.

Been deep in automation for 5+ years. Zapier, Make, n8n, custom systems.

More recently: building and deploying Voice AI agents for both SMBs and enterprise.

And I'm going to be honest...

I'm tired of the fantasy being pushed around Voice AI.

YouTube makes it sound like: "Plug an LLM into a voice, automate calls, replace humans, print money."

Yeah... try that with a real business.

Voice AI is powerful. The tech is evolving insanely fast. But what's being sold online? Mostly disconnected from reality.

Here are 10 hard truths about Voice AI agents that people don't talk about.

#1 - Humans are the benchmark... and that's the problem

With chatbots, users tolerate mistakes.

With voice? They compare it to a real human conversation.

And that changes everything.

Even if your AI is 95% good... People notice the missing 5%.

That 5% = awkward pauses, tone mismatch, weird phrasing.

Result? 👉 "It's impressive... but something feels off."

That "off" kills perceived quality.

#2 - LLMs are powerful... and still unpredictable

Yes, LLM-based agents sound amazing.

Until they don't.

You can:

Add prompts Add guardrails Define behavior

And still get:

Random phrasing Slight hallucinations Unexpected responses after 100 "perfect" calls

Run 100 calls, works fine. Run the next 5, something breaks.

That's the reality.

#3 - The demo works. Production is chaos.

Your demo:

Clean script Predictable inputs Happy path

Real users:

Interrupt Speak unclearly Go off-script Ask unexpected things

Voice AI = dealing with unstructured, messy human input in real time.

There is no "perfect flow".

#4 - Managing expectations is harder than building the agent

Clients don't understand the gap between:

"sounds human" vs "is human"

And that gap creates:

Disappointment Confusion Unrealistic expectations

Even when the product is objectively good.

If you don't manage this early: 👉 You lose trust fast.

#5 - Building the agent is the easy part

Same as automation.

You can spin up a working voice agent pretty fast.

The real work is:

Iteration Testing edge cases Monitoring conversations Fixing weird behaviors

What kills you isn't building.

It's everything after launch.

#6 - Your real users will break everything

You test 20 scenarios.

Users invent 200 more.

They will:

Say things you didn't expect Phrase things differently Jump between topics Misunderstand the agent

And suddenly your "solid system": 👉 Starts leaking everywhere.

#7 - Deterministic vs LLM: pick your poison

You basically have two approaches:

1. LLM-based (flexible)

Natural conversations Adaptive Unpredictable

1. Deterministic (flows/graphs)

Fully controlled Reliable Feels robotic

There is no perfect solution.

The real game: 👉 Finding the balance between control and flexibility.

And it's harder than it sounds.

#8 - Voice quality will make or break everything

People underestimate this.

The voice is not just "nice to have". It's the core experience.

A bad voice: 👉 Kills trust instantly.

A good voice: 👉 Makes everything feel 10x better.

And here's the catch:

English voices = amazing Other languages = inconsistent

Some voices:

Sound great but mispronounce key words Sound average but are reliable

You often have to choose.

#9 - It's more expensive than you think

Voice AI costs stack fast:

LLM usage Speech-to-text Text-to-speech Telephony

And the killer:

👉 Call transfers = double cost.

Inbound call, outbound transfer.

Boom. Costs explode.

For enterprises? Fine. For SMBs? Can kill the deal.

Also: 👉 Country pricing matters a LOT.

Most people ignore this until it's too late.

#10 - Maintenance is the real business model

Voice AI is not "set it and forget it."

It's:

Monitoring calls Reviewing transcripts Fixing edge cases Updating prompts Adjusting flows

Things break. Constantly.

If you're not planning for maintenance: 👉 You're setting yourself up for pain.

Voice AI is insane.

The potential is huge. The progress is real.

But it's not magic.

And it's definitely not "plug, play, replace humans."

If you're serious about building in this space:

Set expectations early
Respect the complexity
Design for failure
Plan for iteration

Because the difference between a cool demo and a production-ready system is everything.

Been deep in automation for 5+ years. Zapier, Make, n8n, custom systems.

More recently: building and deploying Voice AI agents for both SMBs and enterprise.

And I'm going to be honest...

I'm tired of the fantasy being pushed around Voice AI.

YouTube makes it sound like: "Plug an LLM into a voice, automate calls, replace humans, print money."

Yeah... try that with a real business.

Voice AI is powerful. The tech is evolving insanely fast. But what's being sold online? Mostly disconnected from reality.

Here are 10 hard truths about Voice AI agents that people don't talk about.

#1 - Humans are the benchmark... and that's the problem

With chatbots, users tolerate mistakes.

With voice? They compare it to a real human conversation.

And that changes everything.

Even if your AI is 95% good... People notice the missing 5%.

That 5% = awkward pauses, tone mismatch, weird phrasing.

Result? 👉 "It's impressive... but something feels off."

That "off" kills perceived quality.

#2 - LLMs are powerful... and still unpredictable

Yes, LLM-based agents sound amazing.

Until they don't.

You can:

Add prompts Add guardrails Define behavior

And still get:

Random phrasing Slight hallucinations Unexpected responses after 100 "perfect" calls

Run 100 calls, works fine. Run the next 5, something breaks.

That's the reality.

#3 - The demo works. Production is chaos.

Your demo:

Clean script Predictable inputs Happy path

Real users:

Interrupt Speak unclearly Go off-script Ask unexpected things

Voice AI = dealing with unstructured, messy human input in real time.

There is no "perfect flow".

#4 - Managing expectations is harder than building the agent

Clients don't understand the gap between:

"sounds human" vs "is human"

And that gap creates:

Disappointment Confusion Unrealistic expectations

Even when the product is objectively good.

If you don't manage this early: 👉 You lose trust fast.

#5 - Building the agent is the easy part

Same as automation.

You can spin up a working voice agent pretty fast.

The real work is:

Iteration Testing edge cases Monitoring conversations Fixing weird behaviors

What kills you isn't building.

It's everything after launch.

#6 - Your real users will break everything

You test 20 scenarios.

Users invent 200 more.

They will:

Say things you didn't expect Phrase things differently Jump between topics Misunderstand the agent

And suddenly your "solid system": 👉 Starts leaking everywhere.

#7 - Deterministic vs LLM: pick your poison

You basically have two approaches:

1. LLM-based (flexible)

Natural conversations Adaptive Unpredictable

1. Deterministic (flows/graphs)

Fully controlled Reliable Feels robotic

There is no perfect solution.

The real game: 👉 Finding the balance between control and flexibility.

And it's harder than it sounds.

#8 - Voice quality will make or break everything

People underestimate this.

The voice is not just "nice to have". It's the core experience.

A bad voice: 👉 Kills trust instantly.

A good voice: 👉 Makes everything feel 10x better.

And here's the catch:

English voices = amazing Other languages = inconsistent

Some voices:

Sound great but mispronounce key words Sound average but are reliable

You often have to choose.

#9 - It's more expensive than you think

Voice AI costs stack fast:

LLM usage Speech-to-text Text-to-speech Telephony

And the killer:

👉 Call transfers = double cost.

Inbound call, outbound transfer.

Boom. Costs explode.

For enterprises? Fine. For SMBs? Can kill the deal.

Also: 👉 Country pricing matters a LOT.

Most people ignore this until it's too late.

#10 - Maintenance is the real business model

Voice AI is not "set it and forget it."

It's:

Monitoring calls Reviewing transcripts Fixing edge cases Updating prompts Adjusting flows

Things break. Constantly.

If you're not planning for maintenance: 👉 You're setting yourself up for pain.

Voice AI is insane.

The potential is huge. The progress is real.

But it's not magic.

And it's definitely not "plug, play, replace humans."

If you're serious about building in this space:

Set expectations early
Respect the complexity
Design for failure
Plan for iteration

Because the difference between a cool demo and a production-ready system is everything.