Tendem AI

Tendem just did in 4 hours what took a RevOps team 2 weeks. 800 target accounts. Verified decision-maker contacts. Enriched with current titles, company size, and tech stack. Segmented. Formatted. Ready to send. 2 weeks of back-and-forth with a freelancer, two tool subscriptions, and a spreadsheet nobody could agree on. 4 hours with Tendem. No managing. No chasing. No subscriptions.

A savvy engineer needed verified leads. They already had a solid workflow: scraping browser, AI verification with confidence scoring, manual review on top. It worked. It just took 1.5 to 2 hours of direct involvement and manual review every single time. They ran the same task through Tendem. It came back in 24 hours. Spot-checked several entries. All accurate. Some workflows don't need fixing. They need delegating. Delegate your first task: tendem.ai

An AI startup needed 300 Instagram accounts of self-employed language tutors, verified, with follower counts and country data. Manual research was taking them ~10 minutes per account. For 300, that's ~50 hours they didn't have. ChatGPT and a couple of marketing tools gave them results, but the quality wasn't there. Too many accounts didn't fit the criteria, and too many broken links. Same brief submitted to Tendem. A human expert oversaw the search and verified before anything came back. Out of the first 80 they checked — 79 were perfect. 50 hours saved. One prompt. tendem.ai

Academic research runs on verified sources. That's non-negotiable. The problem with general LLMs? Up to 80% of references need manual checking before they're usable. A PhD economist tested Tendem for a deep-dive literature task. What came back wasn't surface surface level -- real links, traceable sources, books included. For someone running 2–3 research tasks a day, that's the difference between work that holds up and work that doesn't. Need verified research? Try tendem.ai

A corporate culture researcher needed to pull the full picture of what a specific company offered its employees -- compensation, culture, career growth, benefits, reputation -- and analyze how that stacked up against competitors. This required parsing across dozens of sources, none of which line up cleanly. They'd tried ChatGPT. Got them partway there. Not far enough. So they ran it through Tendem. AI handled the volume, a human expert stepped in to comb through the details. They called the results brilliant. That's what happens when the tool actually matches the complexity of the work. Try Tendem now: tendem.ai

A business owner in Australia needed 6,000 school records verified. Each one needed a phone number and email matched to it. They tried ChatGPT first. "A complete mess" — their words. At $20 for 500 entries, they ran the first batch through Tendem instead. Results were clean enough that the remaining 5,500 are already queued. Sometimes a simple test can open up a lot of opportunities. Try Tendem now: tendem.ai

We’re building @Tendem_AI : a hybrid AI/Human agent targeting the complex long horizon work that is typically outsourced to freelancers. AI handles the heavy lifting (research, drafting, data), while vetted experts step in to ensure every result is business-ready. Tendem sits on @Toloka’s infrastructure, using the same expert network and LLM QA tech quality control mechanisms that are used to deliver high quality data for frontier labs. Available as a standalone product or via MCP, @Tendem_AI is 1.8x the quality of AI alone and 53% faster than traditional freelancers (whitepaper arxiv.org/html/2602.0111…).

@OlgaMegorskaya @JulienBek And the coverage is already there. thousands of verified experts. 50+ domains. 100+ countries. Building a great model is hard. Knowing when it shouldn't decide alone, and who to hand off to, that's the other half of the problem.

@JulienBek Every autopilot in this list will hit the same wall: a task that needs real judgement. We built @Tendem_AI for that moment. Human experts, on demand, callable by any agent. The intelligence is the model. The judgement is the expert. Now they work together.

A parent coach needed admin contacts across hundreds of Waldorf schools in the US, Australia, England. They knew AI alone wouldn't hold up at that scale. Ran a pilot batch of 30 through Tendem, reviewed it, narrowed the scope, and let it run. The full list came back comprehensive. She expected to pay $50+. It cost $5. Curious about it? Delegate your first task: tendem.ai

A US university researcher needed a literature review covering 600 papers on LLMs in mathematical reasoning — PRISMA methodology, proper sourcing, the full structure. Student assistants take about a month. AI handles the volume but the sourcing falls apart under scrutiny. He ran it through Tendem for $33. What he valued most wasn't just the speed — it was being able to see upfront exactly which parts AI would handle and which a human expert would take over. For academic work, that transparency isn't a nice-to-have. $33 also happened to sit under the $50 threshold that triggers extra institutional paperwork. Bonus. Need verified research? Try Tendem → tendem.ai

Should we have human-in-the-loop or not? We know even the best LLMs fail (I have many benchmarks to show). But can humans catch every issue? It's not possible. Things move too fast. At @TolokaAI, we landed on a different conclusion: Humans shouldn’t review every output at machine speed. They should be embedded where human really matters: decomposition, quality definition, verification of hard or ambiguous cases and pushing through truly complex work. That’s what we built with @Tendem_AI. LLM acts as project manager. Domain experts handle what needs real judgment and execution. Layered QA (AI + human) catches the rest. Results (94 real-world tasks, blind evaluation): - Hybrid: 74.5% client-ready quality (now it's even better, need to rerun the eval) - Human-only (Upwork): 53.2% - AI-only (ChatGPT Agent): 40.4% toloka.ai/tendem-benchma… arxiv.org/html/2602.01119 Tendem can be used as is on our site: tendem.ai Tendem can be integrated using MCP: lnkd.in/eaWpgect Tendem can be integrated into your system as a virtual employee (stay tuned) What do you think about this approach?

@slow_developer The takeaway from all these Gemini vs Opus vs Claude threads isn’t “which one is best.” It’s that model selection has become a tax on productivity. tendem.ai removes that tax. Delegate the work and the system handles model choice and orchestration.

gemini 3 pro is generally smarter than opus 4.5 in overall intelligence opus 4.5 is better when it comes to programming deepmind focuses on building a strong general reasoning and search model claude models are mainly optimized for programming and coding tasks

@ericpwang This guide is helpful, but why struggle with grunt work and learning prompts when Tendem.ai makes it so much easier? Users report faster and more accurate task handling saving hours and reducing errors compared to other methods like Perplexity. #Efficiency #AI

Been hammering Tendem lately and the AI + human combo is straight-up magic. Machine crushes the grunt work, humans nail the nuance. It's not just better results… it's a sweet symphony that pure AI or solo freelancers can't touch. Don't sleep on @TolokaAI - super impressive product!

Whether you're researching companies, building prospect lists, or gathering market intelligence, Tendem combines AI efficiency with human accuracy to deliver results you can trust. Ready to delegate your next research project? Try Tendem today: tendem.ai

Data collection is exactly where hybrid AI agents shine: High volume, repetitive work → AI handles scale Accuracy matters → Humans verify quality Structured outputs needed → Both work together Time-consuming alone → AI accelerates the process

We love hearing how Tendem solves real problems that AI-only tools can't handle. A bioengineer needed detailed info on 330 medtech companies across Quebec for a personal project. Here's what they tried first: 🧵