Salt needs pepper. Ketchup needs mustard.
And on the days your AI just isn't cutting it, you need someone who actually gets it.
Turns out the best pairing isn't AI replacing humans. It's AI handing off to one.
Tendem now plugs in via MCP. Describe the task. Approve the price in chat. Get it back done.
The experts come from Toloka's network, built over 10 years with the same human-in-the-loop infrastructure the big AI labs lean on.
"When will AI replace us?" is the wrong question.
The better one: what do people do once AI handles the busywork?
A decade checking the data behind the biggest AI models taught us the human role doesn't shrink as AI grows. It moves up: from doing the task to making sure it's done right.
Post-slop is not about less AI. It is about keeping a human in the loop.
Full interview with Olga Megorskaya https://t.co/81jBtrT2Id
This MCP setup takes about a minute, and there's $50 on the table when you sign up. If being wrong has a cost, give it to a human: https://t.co/HUE6UEOeUz
We put a human inside your favorite AI tools. You can now summon a real-life expert inside Claude, ChatGPT, Cursor through the Tendem connector. No need to leave the chat.
Nimarprit Singh, a healthcare worker in Norway runs a clothing brand, Niman (https://t.co/jADVtJ0NCH), on the side. He's not a designer.
He sent his AI-generated designs to Tendem. Got sketch versions back in seconds. Sent another task for 100 fashion influencer emails: 99 delivered, 40% open rate, $3.
Creative director: Tendem.
The best feedback is the quiet kind.
“Completed as requested, thanks!”
No thread. No back-and-forth. No “quick question” that turns into a 12-message project.
Here’s what *done* meant on this task:
- 500 Project Manager contacts
- Publicly listed emails only
- Clean CSV formatting
- Ready to use immediately
That’s the difference between output and completion.
You hand off the task, it actually leaves your plate.
Where does the most back-and-forth happen for you right now: AI outputs or freelancers?
You know what makes AI output so frustrating?
It’s not wrong. It’s 𝘢𝘭𝘮𝘰𝘴𝘵 𝘤𝘰𝘳𝘳𝘦𝘤𝘵.
Like a website preview that looks fine at first glance… Then you open it and half the images are placeholders.
The H1 is missing. The SEO notes are “add keywords.” So you do the part you were trying to avoid. You finish it.
That’s the AI Completion Gap: speed without a finished result.
“Done” needs a definition.
For something as simple as a page preview + SEO notes, done means:
- No placeholders
- Correct sections and hierarchy
- Actionable SEO changes (specific titles, headings, internal links)
- Formatted so you can ship or hand it to your dev
If the output still needs your judgment and your cleanup, it’s not a shortcut.
It’s just new work.
What’s a task you’ve stopped delegating because the result is always “almost”?
Last week, we launched on Product Hunt.
Two weeks of prep. A product update shipping two days before launch. Assets, channels, timing... all moving at once. The whole team pointed at a 24-hour window.
We landed #3 product of the day and #2 of the week in Design.
The signups didn't come the way we expected. What came instead was something we weren't prepared for — people asking the right questions. 𝘋𝘰𝘦𝘴 𝘵𝘩𝘦 𝘦𝘹𝘱𝘦𝘳𝘵 𝘴𝘦𝘦 𝘵𝘩𝘦 𝘈𝘐'𝘴 𝘧𝘪𝘳𝘴𝘵 𝘱𝘢𝘴𝘴, 𝘰𝘳 𝘸𝘰𝘳𝘬 𝘣𝘭𝘪𝘯𝘥? 𝘏𝘰𝘸 𝘥𝘰𝘦𝘴 𝘵𝘩𝘦 𝘴𝘺𝘴𝘵𝘦𝘮 𝘥𝘦𝘤𝘪𝘥𝘦 𝘸𝘩𝘦𝘯 𝘵𝘰 𝘣𝘳𝘪𝘯𝘨 𝘪𝘯 𝘢 𝘩𝘶𝘮𝘢𝘯? 𝘏𝘰𝘸 𝘪𝘴 𝘲𝘶𝘢𝘭𝘪𝘵𝘺 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘤𝘩𝘦𝘤𝘬𝘦𝘥?
We sat with those questions. Some had clean answers we hadn't surfaced clearly enough. Some pointed to design tensions we'd been working through ourselves, so we got to work.
Swipe through the questions you actually asked and our honest answers.
If there's something we haven't covered, drop it in the comments.