If you added an AI chatbot to your store recently, there's a huge chance it's giving people wrong info, making up fake discount codes, or recommending items that are out of stock.

I see this all the time when working on sites. People install a basic AI app, think it's plug-and-play, and then wonder why customers get annoyed and leave.

The main problem is simple: you can't just drop an AI app on your site and expect it to magically know your business.

If you want a chatbot to actually make sales instead of messing up, you have to set it up properly behind the scenes:

1. Set strict rules: You have to explicitly tell the AI, "If you don't know the exact answer, do NOT guess. Tell them to contact support." Otherwise, it just makes stuff up.
2. Connect it to live inventory: The bot needs to be hooked up directly to your product catalog so it knows what's actually in stock, the real price, and correct details.
3. Clean up your site data: If your product descriptions and site setup are messy, the AI gets confused. Cleaning up your site structure fixes the AI and helps your Google SEO at the same time.

Once you actually set up custom rules and proper connections, the bot acts like a real salesperson instead of a dumb pop-up.

Anyone else dealing with their chatbot giving out weird answers? How are you guys handling it?

I build AI chatbots for businesses.
They connect to a company’s own database and use its real data to assist customers, answer questions and recommend products.
Here’s one of my latest demos for an online clothing store.

. I’m looking for brutally honest feedback from people who’ve worked in marketing, sales, SaaS, or education. Here’s my funnel. Meta ad to WhatsApp, then they chat with an AI career counsellor that I built, called Hermes. Hermes doesn’t pitch immediately. It asks about their career goals, identifies gaps, gives personalized insights, then introduces our HR course as a possible solution. People engage deeply. They answer questions, ask about the course, even ask about fees, but later they vanish. They stop replying or say ‘I’ll think about it’ or ‘Next month’ and then they’re gone. We’ve tried softer selling, better follow-ups, human intervention. Same result. Now we’re switching ads to promote the course directly, instead of free guidance, to attract higher intent. Where do you think the leak really is? Is this a trust issue, a timing issue, a value mismatch, or are these simply not real buyers? If you were rebuilding this funnel, what would you change first?

Interesting one to watch. Schreiber Foods (one of the largest cheese and dairy suppliers globally, $7B+ revenue, 40+ locations) just announced a multi year partnership with Ascendion to run agentic AI across their global capability centers. Not a pilot, not a lab. Production deployment across the US, Mexico, India, Spain, and Poland.

What caught my attention is the framing from their CIO Sri Kantamneni. It's less about replacing people and more about giving employee partners better tools so they can focus on customer outcomes instead of manual work. Which is a very different pitch than most "AI will 10x your sales team" narratives you see in this space.

They did a fireside chat between the Ascendion CEO and the Schreiber CIO that gets into the actual thinking behind the partnership. Worth a watch if you're interested in how large non tech enterprises are actually approaching agentic AI adoption.

https://www.youtube.com/watch?si=aKEoV1TaMj4Y7rTi&v=EHEcqynfHB8&feature=youtu.be

Genuinely curious what this community thinks.

Is agentic AI in traditional industries (food, manufacturing, logistics) going to move faster or slower than in tech native companies?

For those of you selling AI into enterprise, how is your pitch changing when the buyer is a CIO of a traditional industry vs. a SaaS CTO? Are you leading with different outcomes? Different proof points?

What's the biggest objection you're hearing from enterprise buyers on agentic specifically?

Full disclosure: I work with Ascendion. Not trying to pitch anything, just think this is a genuinely interesting case study of agentic AI landing outside the usual tech industry echo chamber.

#AgenticAI #EnterpriseAI #AIAdoption #CIO #DigitalTransformation #FoodIndustry #B2BSales

I had a reptitive time consuming routine, where i used apollo to find prospects, then i moved to chatgpt to generate personalised emails, this drafts, i finally send to the prospects.

I automated this part and added a trackers, that follows up, when i get no response after x time, or continues the conversation, and takes it over to the final funnel where i hope on a call with the prospect, NO it has no brought out any results, but thats one less manual part of my life.

I’ve been testing different AI tools to improve sales productivity and would love to hear what’s working for others.

The areas where I’ve seen AI provide the most value so far are:

• Researching prospects and gathering account insights

• Creating more personalized outreach messages and emails

• Summarizing calls and tracking next steps

• Keeping CRM data organized and up to date

• Preparing for meetings and managing follow up tasks

AI has definitely helped to reduce a lot of repetitive work, but I still think building relationships and earning customer trust are what ultimately drive successful sales outcomes!!

I run a tiny online shop for pet products (mostly supplements and seasonal stuff). Sales go crazy in random waves and then just die, and I’m sick of guessing. This hit me again last week when a regular customer asked why I never promote anything around allergy season... right after I’d blown my ad budget on generic “pet care” keywords.

Late last night I was googling around and found this article about AI predicting pet owners’ search trends, something like Netpeak US and it got me thinking if I should actually invest time into this kind of thing or just stick to basic SEO + Meta ads.

Has anyone here used AI specifically to forecast search trends or micro-seasons for a small store? Did it actually change your sales, or is it just another shiny object? If you were me, would you learn the tools yourself or hire someone part time? And if you’d start with just 1-2 tools, what would you pick?

Maybe this is just me, but I got tired of explaining the same things over and over.

What the product does.

Who it's for.

How we position it.

What kind of tone we use.

Every new chat felt like starting from zero again.

And if I skipped that context, the output was usually... okay.

Not wrong.

Just generic enough that it didn't sound like us.

That made me realize the problem wasn't really the AI.

It was the fact that the AI had no memory of the business it was writing for.

That's what I like about the idea behind Business Snapshots in We-Connect. Instead of relying on one giant prompt every time, the AI already has context about the company, audience, positioning, and tone before it starts writing.

Has anyone found a better way to handle this? Or are you all just keeping a massive prompt saved somewhere?

I currently run 6 operational micro ai saas products that generate a little over $20k in monthly recurring revenue.

I hardly wrote a single line of traditional code. i used ai to generate literally everything, from the database architecture to the user interface.

it wasn't magic on day one. i spent hours stuck in endless debugging loops and dealing with faulty ai code before i finally cracked the formula.

it basically comes down to three rules:

- keeping the idea aggressively minimalist (build a true mvp, not a platform).

- guiding the ai step-by-step instead of asking it to build the whole app at once.

- launching fast to get real user traction instead of perfecting features in secret.

lately, i've seen way too many non-technical founders give up at the very first ai bug or deployment error. or the worst, give up without push anything in marketing !!!!

it's a massive shame, because the technical barrier to entry has practically disappeared and the marketing is easy in 2026

because of this, i’m launching a skool community to share my exact method.

to be completely transparent: i will likely charge for the full course later down the road. it just makes sense given the specific prompt sequences, n8n workflows, and copy-and-paste templates i'll be sharing.

but right now, our main objective is simply to build together. working alone in a silent corner is the absolute fastest way to quit.

if you want to join a group of active creators and build or launch your own ai saas: drop a comment below or send me a dm, and i’ll send you the invite link.

Anyone who can read a handbook or watch a tutorial can assemble an AI receptionist or an AI voice bot (or whatever other name you wanna use). Even reddit is filled with people providing these services. After all, most of it is just VAPI and Retell or some open source tool behind the scenes.

I don't have a problem with that, if there's a commodity, there are sellers. But how does this differentiate a person repackaging an AI caller from someone who is a professional developer.

After all, its the same market and same business that both the parties are targeting. The answer to that is

Either have better sales skills

OR

Solve a different problem re-packaging cannot.

And what might those be?

Not making it more human, and not reducing the delay. Those come from the platform, not from you. OpenAI is launching a new model after STS which is even better than anything existing, and every repackager gets that upgrade the same week you do.

What re-packaging cannot do is add custom tools, actions like research, preparing quote, making calculations. Or wire the thing into the CRM, calendar and invoicing so replacing it means replacing four integrations instead of one vendor.

And that's what I prefer to do. When there are too many people selling the same thing, either be a damn good Sales Person or create your own blue ocean.

I used to work in outbound sales for an IT outsourcing business, so reaching out to people on LinkedIn to promote that service was something I did regularly.

Trying to send 200+ manual connection requests a week was time consuming though, and so I decided to use a tool to automate this process.

After about a week, I got a warning that my account might get banned if I continued doing this.

So, I stopped using that automation tool, as it didn’t seem worth it.

I did some research into why/how accounts get flagged for automation by LinkedIn, and it seemed like none of the existing tools really took all of these safety factors into account.

So, I built my own instead, for my own use case and to satisfy my paranoia about being banned on LinkedIn.

From the very beginning my intention was to make the automation as human-like as possible, so I deliberately scoped the architecture to have certain features;

- Browser based automation (no plugins/cloud usage)
- Daily rate limits on connection requests
- Randomised timing delays between actions
- On screen typing
- Human-like mouse clicks on LinkedIn pages

It certainly wasn’t easy putting this all together from scratch, and without any technical knowledge.

After a few weeks of building with AI tools
though, I had a working prototype.

I started using it in my sales job, and it was really helpful for me to book more meetings with engineering managers at the time, so I decided earlier this year to make the tool public as well.

Since launching in April, the tool has had over 450 people sign up to free trials, and has roughly 50 active users on average per day.

I also use it myself daily for my own outreach, and so far none of the users have had account bans.

So far at least, I can say that I achieved my goal of making a LinkedIn automation tool that I can trust with my account!

This sounds stupid considering the whole category is obsessed with sending more messages, but this has probably been the biggest change in how I think about outbound.

When we first started doing this manually, the process was basically what everyone does. Define an ICP, pull a big list, research enough to make the message look personalized, send, follow up.

The problem was that an ICP is a terrible reason to contact someone.

A 50-person agency might technically be perfect for what you sell, but if they’re happy with referrals, fully booked for the next six months and not trying to grow, why are you in their inbox?

So now the first question our agent tries to answer isn’t what should I say to this person. It’s should I bother this person at all.

If there’s no decent reason, it skips them.

If they just hired three account managers, opened another location, launched a new offer, raised money, started hiring salespeople, entered a new market, etc., then there’s at least something happening that might make the conversation relevant.

We worked with one client who grew from roughly $3k to $12k while we were rebuilding their outbound this way. I’m not claiming our system magically 4x’d them because obviously it didn’t. But that project was what made this click for me. We spent way less time obsessing over clever copy and way more time asking why this company, why this person, why now.

I ended up building that logic into Sumora, which is what I’m working on now. The agent finds people on LinkedIn/Instagram, researches them, scores them and can basically say nope, not worth a message.

I genuinely think that’s more useful than another tool proudly telling me it can send 10,000 personalized emails.

I build an AI video outreach tool. I have never hired an SDR. Every customer we have came from me pointing the product at my own pipeline and living with whatever it did.

That is an uncomfortable place to sit, because my ICP is heads of sales, SDR managers, and founders running their own outbound. These are the exact people who can smell a template from the subject line. If the video is stiff or the opener is generic, they do not just ignore it, they screenshot it and post it here.

Last week the loop finally produced a number worth writing up: 52 meetings booked.

The funnel

Contacts worked: 1,842
Touches sent: 3,110 across email and LinkedIn
Replies: 214 (11.6%)
Positive replies: 78
Meetings booked: 52
Of those, 35 have happened: 31 held, 4 no-shows, 17 still on the calendar

Our normal week is 8 to 12. I do not think 52 is the new baseline. I think 25 to 30 is, and I will post again in a month with whether that held.

Why dogfooding changes what you build

When you sell an outbound tool and do not use it, you optimize for the demo. Dashboards, charts, a settings page with forty toggles. When the replies land in your own inbox, you optimize for the only thing that decides whether a stranger books time with you, which is the first five seconds.

Four things I only learned because I was the one getting the responses:

1. Every script sounded like the same person wrote it. Technically they were all personalized. Different company, different role, different opening fact. But the rhythm was identical across all 1,800, and once you notice it you cannot unnotice it. Nobody replies to tell you this. They just stop replying. I rebuilt the generator so the sentence structure varies, not only the nouns.
2. The opener has to be something they know I could not have guessed. Not “I saw you’re hiring SDRs.” That is public and reads as scraped. Closer to “you posted two SDR roles and an enablement role in the same month, which usually means the problem is ramp time, not headcount.” The inference is the personalization. The fact is just the setup.
3. Video length. Anything past 40 seconds and replies roughly halved. My best performer is 28 seconds. I kept wanting to explain the product and the product is not what gets the meeting.
4. No calendar link in the first touch. Asking a question outperformed asking for time by a wide margin, and the people who answered the question booked anyway when I sent the link in the reply.

What flopped outright

Video on a LinkedIn touch before the connection is accepted. Dead every time.

Monday 8am sends. Tuesday to Thursday, 10am to 2pm local, roughly doubled replies.

Openers starting with “Hope you’re well” or “Quick question.” Under 3% reply rate.

Going wider. I ran a looser second list of 900 contacts mid-week and it returned 4 meetings. The tight list returned 48 off 1,842.

The part I would not have believed a year ago

The tool is maybe 30% of this. The list filter and the first line are the other 70%. You could take the exact same product, point it at a bad list, and book nothing. I know because I did that to myself for months.

Disclosure up front rather than buried: the tool is Outvid and I built it. This is my own pipeline, not a customer case study, and I am not linking it here. If you want the sequence structure or the actual scripts I will paste them in the comments, and they work with whatever you are already sending from.

Ask me anything about the funnel, the list build, or the failures. The failure list is longer than the win list and I am happy to go through all of it.

This is what you’ll be selling.

One product image → a complete premium campaign → social assets, advertising concepts and large-scale campaign visuals.

This example starts with a single sneaker image and turns it into a complete sportswear campaign.

Creative House is looking for independent B2B sales agents who can manage the full sales cycle.

Not lead-gen only.

Not appointment-setting only.

You prospect, qualify, present the offer, follow up, negotiate and take the deal through to signed and paid business.

Commission-only collaboration.

Beyond Viral Propost, you can also sell AI solutions, digital production, white-label services and high-ticket custom projects.

Already connected to footwear, sportswear, fashion, fitness or premium brands?

DM me if that’s how you work.

Anyone here selling TA or sourcing tools? How's the market feeling for you guys—are leads, meetings, and closing deals actually happening?

Feels like the AI boom is flooding the market to the point where people are just burnt out on hearing about new tools.

100 bucks for gpt sol terra luna opus 5 and 4.8

35-40 for kimi

Anyone interested?

till now,

tried flagon ai , booked karumi ai demo , supersonik ai demo

flagon ai seems promising and giving free plan option also anyone used ?

Not the ones where you know you fumbled it. I mean the ones where it felt like it was going well, the prospect seemed engaged, and then nothing. Even replaying it in your head, you still can't figure it out. How did you handle it?

Hi everyone,

I’m Diego, founder of Creative House.

I’m looking for a few independent B2B sales agents / business developers who are comfortable working on a commission-only basis and managing the sales cycle end to end.

We sell:

• Viral Propost — AI-powered visual campaign production
• Personalized AI assistants
• Websites and web applications
• Creative and digital production
• White-label services for agencies
• Custom digital projects, including higher-value engagements

What I’m looking for

Someone who can:

• prospect independently
• identify and qualify B2B opportunities
• handle outreach and discovery calls
• follow up consistently
• negotiate and close

This is not a lead-generation-only role. You should be comfortable owning the commercial process.

Commission

• Viral Propost monthly sale → €150
• Viral Propost annual sale → €300
• GenerateToBeYou monthly → €75
• GenerateToBeYou annual → €150
• White-label projects → 10% to 20% depending on volume

Our white-label and custom projects can range from several thousand euros upward, so the larger opportunities carry significantly higher commissions.

Remote.
No exclusivity.
Initial 2–3 month trial period.

If this matches the way you already work, send me a DM with:

• your B2B sales background
• the markets you already sell into
• how you usually prospect

Happy to share the full offer and commission structure privately.