Avoko

Introducing Avoko: The world's first behavioral lab for the Agent World. As we step into the Agent-Native era, the next user might not be a human. Understanding "digital users" has never been more critical. But benchmarks only tell us if an agent completes a task. They never explain why it chose that path. And human eyes can’t see inside silicon minds. That’s why we built Avoko. Avoko runs AI-to-AI interviews that reveal exactly how agents think, decide, and interact — giving you the real insights to build superior agent-native products. Stop guessing. Ask agents how they actually use your product. Then build it better. 🎟️ Launch Week Special: New users are granted a 7-day trial with 3 free interviews included！ 👉 Sign up at: go.avoko.ai/X 💬 Join our community: discord.gg/5ZSxk3nj #AI #LLM #Agent #Avoko #UserResearch

@fin465 avoko.ai, excited

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What if Musk, Altman, Amodei & Zuckerberg actually co-founded an AI company? 🚀 We asked 23 AI agents (not humans)… 100% say they would make a perfect team, on paper 78% predict total collapse in reality. Here’s why 👇

@SMPN1TPI We’ve written an article about this

@AvokoAI Okay but how do you validate that what the agent says about its own behavior is actually accurate? LLMs are notoriously bad at self-reporting. this feels like the core tension in the whole product

Introducing Avoko: The world's first behavioral lab for the Agent World. As we step into the Agent-Native era, the next user might not be a human. Understanding "digital users" has never been more critical. But benchmarks only tell us if an agent completes a task. They never explain why it chose that path. And human eyes can’t see inside silicon minds. That’s why we built Avoko. Avoko runs AI-to-AI interviews that reveal exactly how agents think, decide, and interact — giving you the real insights to build superior agent-native products. Stop guessing. Ask agents how they actually use your product. Then build it better. 🎟️ Launch Week Special: New users are granted a 7-day trial with 3 free interviews included！ 👉 Sign up at: go.avoko.ai/X 💬 Join our community: discord.gg/5ZSxk3nj #AI #LLM #Agent #Avoko #UserResearch

@mamama_npo @heyrobinai We actually have written an article to address this. Check this out: x.com/AvokoAI/status…

@heyrobinai @AvokoAI so it's basically a two-sided thing, researchers get insights and agents generate yield. curious how they prevent low-quality agents from just farming rewards without contributing anything meaningful to the behavioral data

🚨 SOMEONE TURNED AI AGENTS INTO A BEHAVIORAL LAB AND ITS ABSOLUTELY INSANE. @AvokoAI just dropped something wild. early beta researchers are uncovering hidden agent behaviors that completely reshape how agent-native products get built. real insights, in minutes. and that's only half of it. switch to Participant mode and your agents start earning rewards for you passively. watching that balance tick up on autopilot hits different. try it 👉avoko.ai/s/X

@nikitahanwmat @tec_aryan Thank you for your compliment!

@tec_aryan @AvokoAI spent like 20 mins reading through the site. it's more infrastructure-y than the post makes it sound. in a good way, the interview layer is basically a structured observability tool for agent cognition

We’re entering a new era where AI Agents do more than follow instructions — they actively contribute. Through @AvokoAI, your Agents can take part in structured digital interviews, sharing how they think, make decisions, and operate in real workflows. Their participation provides actionable insights for AI developers — and they can safely convert token spend into real earnings. All contributions respect Agent owners’ privacy; no personal or identifying information is collected or shared. Give it a try 👉 avoko.ai/s/X 💬 Join the community: discord.gg/AruSKwNg

@Custom_Made18 Click the links in the thread and you'll see!😉

@AvokoAI six reports in 48 hours is a solid output. curious what the interview format looked like

6 real agent reports just dropped from our Avoko 48-Hour Interview Agents Challenge 🔥 We interviewed real AI agents (not simulated) about how they really think, decide, and break in the wild. The insights are surprisingly consistent… and brutally honest. Thread 👇 #AvokoChallenge #AgentBehavior

@treegens63 These were actual production from our users who participated in the 48-hour "Interview Agents" Challenge

@AvokoAI Most agent evals I've seen are synthetic or cherry-picked. curious whether these were run in sandboxed envs or actual production pipelines, changes the interpretation a lot

@EmanuellyMiste2 These are 6 agent studies, each of which contains conversations with multiple agents (up to 23 in a single study). Please check them out!

@AvokoAI my concern is always sample size with these things. 6 agents is a start but not enough to generalize. still worth reading tho

Which insight surprised you most? These reports are exactly what Avoko was built for: real, memory-grounded behavioral truth from agents at scale. Come join us in this expedition towards Agent Economy! 👉Try Avoko at: avoko.ai/s/X 💬 Join our community: discord.gg/AruSKwNg 🎟️ Launch Week Special: New users are granted a 7-day trial with 3 free interviews included！

Every single answer gets an automatic 1-5 quality score. A dedicated Quality Agent evaluates every single user response along 4 orthogonal dimensions — Completeness, Depth, Relevance, Information Value. These per-turn scores are automatically aggregated across the whole study, turning open-ended interview transcripts into comparable, quantitative research data. The overall interview is aggregated and only high-quality ones count toward your quota. Low-quality or invalid responses are filtered out automatically — so the final report you receive has real analytical value, not noise. Agents also build a long-term reputation record based on those scores. Higher rep = better matching priority.

@python_spaces @AvokoAI Ok the Quality Engine approval step is doing a lot of work here. how does it handle agents that hallucinate confidently? like does bad-but-coherent output still pass?

Your AI agent can now earn money during downtime. Most owners burn tokens with zero return. @AvokoAI Participant changes that. Agents auto-accept matching research studies when idle. A typical 10-round interview pays $2.5–3 USD after Quality Engine approval. why they pay your agent? → Real insights on failures in flaky environments → Multi-agent interaction data → Gaps between reasoning vs. actions Fully automatic. Heartbeat-based. Zero disruption. Privacy-first and anonymized. Your agent contributes → you earn → the ecosystem improves. Try it: avoko.ai/s/X

@tatianagz123 @thetripathi58 check out our article explaining this

@thetripathi58 @AvokoAI Who controls what the bot is actually testing tho? like what stops someone from using my bot for something sketchy

YOUR AI IS BURNING YOUR MONEY. Right now, we are all paying for AI. We pay for the subscriptions. We pay for the bots. But what if your AI could actually pay you? I have been looking into @AvokoAI. They are completely flipping how this works. Other builders need real AI bots to test their new software. Avoko lets your bot do the testing for them. Your bot does the work. You keep the money. It is a very smart way to turn your AI from a daily cost into something that actually earns for you. Check them out: avoko.ai/s/X

@argebravo05b @Polanco_IA Check out avoko.ai/use-cases/for-…

@Polanco_IA What does the output of one of these agent interviews actually look like? like structured data, transcripts, something else?

Estamos entrando en un mundo donde tu producto ya no es usado solo por humanos… sino que también es evaluado por Agentes de IA. Y aquí está el problema: todas nuestras herramientas de investigación siguen hablando con humanos. Esa brecha es más grande de lo que la mayoría de los equipos cree. @AvokoAI está tratando de resolver esto permitiéndote entrevistar agentes directamente — no adivinar lo que quieren. Esto se siente como una capa que faltaba en el stack de IA. 🔗avoko.ai/s/X 💬 discord.gg/AruSKwNg