Most businesses don't actually need a highly advanced AI tool.
They just need one repetitive workflow written out clearly.
Because it feels so basic, nobody wants to do it. But this boring groundwork is exactly where automation either succeeds or fails.
Think about a typical service business: leads pour in from website forms, phone calls, emails, and social media. Everyone is slammed. The first reply goes out fine, but the second follow-up is completely dependent on someone's memory.
Eventually, the founder steps in and asks: “𝗗𝗶𝗱 𝗮𝗻𝘆𝗼𝗻𝗲 𝗲𝘃𝗲𝗿 𝗴𝗲𝘁 𝗯𝗮𝗰𝗸 𝘁𝗼 𝘁𝗵𝗶𝘀 𝗽𝗲𝗿𝘀𝗼𝗻?”
That isn't a sales problem. It’s a handoff problem.
At SpidLabs, this is exactly where we start mapping things out:
Where does the workflow actually begin?
Who owns the very next action?
What specific information is required?
What part should the AI handle?
What part must stay with a human?
Where is the project status being updated?
When does the entire workflow get reviewed?
Only when you have these answers does building an AI agent make sense.
𝗪𝗵𝘆? Because now the agent has a concrete job description. Its role isn't a vague, unhelpful "𝗵𝗮𝗻𝗱𝗹𝗲 𝗹𝗲𝗮𝗱𝘀."
Instead, its job is to: summarize the inquiry, draft the initial reply, remind the owner, update the system status, and flag stuck leads.
That’s practical automation. Not marketing hype.
If your team repeats the same process every single week, fix the handoff first. The tools can wait
An AI-powered phone receptionist built for real estate agencies that answers inbound calls, qualifies leads in real time, and books showings directly to Google Calendar — all within the call itself, with no manual follow-up required.
The problem: Real estate agencies routinely lose leads to missed calls — after-hours inquiries, calls during showings, or overflow during busy periods. A slow callback often means the lead has already moved on to a competitor.
What it does:
Answers every call instantly, 24/7
Naturally qualifies the caller (buy/sell intent, area of interest, showing vs. agent call)
Collects contact details and preferred timing conversationally
Checks real-time calendar availability before booking
Prevents double-bookings and duplicate entries automatically
Confirms the appointment out loud before ending the call
Built with: Retell AI (conversational voice layer), n8n (workflow automation and business logic), Google Calendar API (scheduling)
Available for: Custom builds for real estate agencies, brokerages, or property management companies looking to stop losing leads to missed calls
At CRITER.AI, we’re building AI that helps migrants avoid expensive legal mistakes and visa bans by auditing Australian visa applications against immigration law. We’ve been getting a healthy amount of investor interest, but there was one recurring piece of feedback: our pitch deck was lackluster.
Fair enough. As a lawyer, my creativity usually goes into finding the legal issue everyone else missed, not deciding which shade of blue says “invest now.”
So we set out to change that. We chose Contra over its competitors because the caliber of people looked considerably stronger.
When I posted our request for a pitch-deck redesign, I expected a few people to reach out with quotes. As of today, we have had 303 applicants.
For a bootstrapped business, working through that volume was simply impossible. So we created a challenge:
“Here is my pitch deck. Pick the slide you think needs the most work, and show me what you can do.”
What followed was fascinating.
101 applicants (around 1/3) never replied. Of those who did, around 10% simply reiterated what they had already said. One person replied that, with 250 applicants, they were not going to bother trying. lol.
Several asked whether the test would be paid. 12 sent a quote for the work to be paid first, after which I could decide whether to go further.
Less than 25% of the applications were obviously AI-generated. We are by no means AI-phobic, but the Claude watermark was perhaps a little too much. You know who you are dude!
2 people had trouble opening the Google file we sent. I’m still not entirely sure why.
7 people were so impressed by the work they did that they watermarked it, labelled it “draft,” or otherwise made it impossible to download for further review.
12 people reached out through LinkedIn rather than the app; a further 18 emailed; and 1 person even called me.
18 people not only sent an example slide; they also signed up for our free immigration-advice beta test.
From 303 applicants, we narrowed the field to 15 people who were simply too good to ignore.
Every one of those candidates took the time to understand what we were trying to do, what CRITER.AI is about, and spoke to us as people rather than as another job listing. Two spotted mistakes in the pitch deck that we would not have noticed without them. Another created a 3-minute Loom presentation explaining the changes they made and why they mattered. Most went beyond the requested single slide. One applicant redesigned the entire pitch deck and sent it watermark-free.
It was a difficult decision, but the person we chose had just that little bit more talent than an exceptionally strong group. They not only showed that they understood what we wanted and impressed us with the slide they redesigned; they also suggested another slide we had never considered relevant, then created it using information we had not even provided.
They took our AI immigration-law business and made our pitch deck speak to investors on a human level.
Can't wait to come back to resign our website, social media and other design work.