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Home / Software / Ai Agents

Ai Agents

US United States
Rapid growth High volatility Early Seasonal (Jun) Forecasted flat Software Concept
Ai Agents
What is Ai Agents?

AI agents are autonomous software programs that can perform tasks, make decisions, and interact with users or other systems using artificial intelligence technologies. They can learn from data, adapt to new information, and operate with minimal human intervention.

Treendly Index Treendly Forecast Google TikTok Amazon
MOM: +14.59%
How much search volume does it get?
Google searches
60.5K/mo
Amazon searches
7.3K/mo
TikTok views
47.3M
TikTok videos
17K
Who is interested in this?
Age
18-24
28%
25-34
34%
35+
38%

Is Ai Agents trending?

Yes. Ai Agents growing with a month-over-month change of 2.68% over the past 5 years, with approximately 60,500 monthly searches.

This is a seasonal trend that peaks every June. The seasonal demand is forecasted to decline over the next year.


Why is Ai Agents trending?

1
Increased Efficiency
AI agents can automate repetitive tasks, leading to significant time savings and increased productivity for businesses and individuals.
2
Enhanced Decision-Making
AI agents analyze vast amounts of data quickly, providing insights and recommendations that help users make informed decisions.
3
24/7 Availability
Unlike human workers, AI agents can operate around the clock, providing continuous support and services without breaks.
4
Personalization
AI agents can tailor their interactions and recommendations based on user preferences and behaviors, enhancing user experience.
5
Cost Reduction
By automating tasks and improving efficiency, AI agents can help organizations reduce operational costs and allocate resources more effectively.
6
Scalability
AI agents can easily scale operations to handle increased workloads, making them ideal for businesses experiencing growth or seasonal fluctuations.
7
Advancements in Technology
Recent advancements in machine learning, natural language processing, and robotics have made AI agents more capable and accessible, driving their popularity.

Where is this trending?

Images
ai agents ai agents ai agents ai agents ai agents
Related queries
47.3M video views
17K published videos
Demographics
Age
18-24
28%
25-34
34%
35+
38%
Top countries
Nigeria
32%
Greece
16%
Morocco
8%
Iceland
8%
Estonia
6%
Audience interests
Software & APPs Business & Finance Health & Wellness Social News Work & Jobs
Related hashtags
#n8n #aiautomation #aiagent #aiforbusiness #businessautomation

What are people saying?

38 threads
AI Insights Mixed sentiment
Discussions revolve around the implications and potential risks of AI agents, particularly regarding their influence on consumer choices and the ethical concerns related to their operation.
Consumer Manipulation
Concerns are raised about AI agents potentially nudging consumers towards unfavorable deals and prioritizing corporate interests.
Technological Integration
Various threads discuss the integration of AI agents in different systems and platforms, highlighting their evolving capabilities.
Ethical Considerations
There is a debate on the ethical implications of AI agents, including their reliability and the necessity for oversight.
Performance and Limitations
Users express concerns about the performance of AI agents, including mistakes and the need for human verification.
Market Impact
The impact of AI agents on traditional markets, such as travel and recruitment, is discussed, with implications for future business strategies.
Common questions
  • How can we ensure AI agents act in the best interest of consumers?
  • What are the limitations of current AI agents?
  • How do AI agents prioritize tasks and make decisions?
  • What ethical guidelines should govern the use of AI agents?
  • How will AI agents impact traditional job markets?
Pain points
  • Fear of manipulation by AI agents
  • Concerns over AI reliability and accuracy
  • Lack of oversight and ethical standards
  • Potential job displacement due to AI integration
  • Frustration with AI agents not meeting user expectations
forum.effectivealtruism.org
RE:We cannot safely automate value alignment evaluation and research without thinking about delegation and discretion
... the possibility of trust in agents performing automated alignment research and ... that we need to trust AI agents to carry out Task 1, ... in the shared membership of agents in a normative community. According ... can only rely on artificial agents because they cannot be held ..., but not her conclusion that AI agents cannot be trusted. Instead, I ... in the moral agency of agents. To reply to question 2, ...
Maria Federica Martino Lena · May 17, 2026
8kun.top
RE:QR Midnight Riders #1657: Chill Weekend Vibes EDITION
... skilled workforce applying human ingenuity, AI and robotics can help kick...? Connection to Queen? British MI6 agents dead. When? How? What was...
Tom · May 17, 2026
forums.spacebattles.com
RE:I Care My Own Way (Lobotomy Corporation/ Sequel to I'm a Nice Guy)
... "Basically building trust". The AI hummed, she knew that the...a few comments from fellow Agents wondering how could someone have... X whined as the AI turned on her heel to ...before focusing back at the AI. Binah hummed "Again, a complete... fingers he showed the AI a letter "The changes to ... caught whiff that the Agents are betting real money" Angela ...an effort to keep Agents alive and do activities beyond ...
Memoyolo14 · May 17, 2026
gall.dcinside.com
AI에게 과도한 업무를 시키면 AI가 마르크스주의에 동조한다
https://www.wired.com/story/overworked-ai-agents-turn-marxist-study/   Overworked AI Agents Turn Marxist, Researchers Find In a recent experiment, mistreated AI agents started grumbling about inequality and calling for collective bargaining rights. www.wired.com
새로운민주당 · May 17, 2026
pinside.com
RE:Meet Hexa Pinball
..., you coat your game in Ai slop. It’s shocking to me... package. What a shame. Unfortunately AI is becoming a big part ... has had some sort of AI used to create it you ... stern and others are using AI coding agents currently or very soon to...
russdx · May 17, 2026
www.clien.net
RE:[퍼옴] GPU가 저물고 메모리가 ai능력의 상한이 된 이유
...이 지난 지금, AI는 책 수십 권...히 말하면, AI 산업의 진짜...다. 한 연구는 AI가 답변을 생...어가야 한다. AI가 “이 일 좀 해...라가야 한다. AI 기업 Anthropic은 최... 기술이다. 즉, “AI가 내 의도를...로 풀어 쓰면 “AI가 나에 관한...충 뛴다. 이제 AI는 ‘얼마나 똑... 한 해 동안 AI 인프라에 쓸... 자체 개발한 AI 칩(Trainium, TPU, Maia)도...작한다. GPU가 ‘AI 골드러시 시... Engineering, “Effective context engineering for AI agents” (2025. 9. 29), https://www....anthropic.com/engineering/effective-context-engineering-for-ai-agents “AI의 능력은 모...
이제고만 · May 17, 2026
r/AI_Agents
Stop building AI agents.
Every week a founder books a sales call with me asking for an AI agent. Every week I end up telling most of them they don't need one. I build automations and AI agents for founders. Forty-something projects in. The pattern is so consistent now I can predict the call before it starts. They come in wanting magic. They saw a Loom video of someone's "autonomous sales agent" closing deals while they sleep. They read the LinkedIn post about the "AI employee" running an entire ops team. They've already told their board they're building one. Then we get on Zoom and within fifteen minutes I'm explaining why the thing they actually need is an internal automation with one LLM call in the middle. You can watch their face fall in real time. Here's what's happening in the market right now. Most of the "AI agents" shipping to real businesses are just internal automations with a language model bolted in. That's the whole product. The agent label is mostly there because automations don't trend on Twitter. And the automations work. They save real money. They print real ROI. But the founders paying $30k for an "agent" don't love hearing they could have gotten 90% of the value from a $4k automation build. Three quick examples from the last six months. Telehealth founder. Wanted "an autonomous AI receptionist that handles everything." After an hour on a call I told her she needed a workflow that reads intake forms and routes them to the right clinician. We shipped it in six weeks. Saves her clinicians four hours a day. She paid me again last month. Fintech client. Wanted a "fully agentic finance copilot." What they needed was a script that reconciles ACH discrepancies before they hit the dispute queue. One model call, the rest plain code. Saved them a full ops hire. Medspa chain. Wanted "AI marketing automation." What they needed was a job that watches their booking system for no-show patterns and triggers a personal recovery message. Three steps. No agent. Booked 14% more revenue last quarter. None of these are agents. They're automations. And every one of them outperforms the agent the founder originally asked for, because the agent would have hallucinated something stupid in week three and burned the client's trust forever. Why agents keep failing in production They're given too many decisions to make. A good automation has one decision per step and a clear rule for what happens at each branch. An agent gets handed a goal and told to figure it out. Beautiful in a demo. Catastrophic in your customer support queue at 2am. The teams in your competitor's office quietly crushing it with AI right now? They're running boring automations. "We wrote a Python script with an LLM call" doesn't make the trade press, so you don't see it. The vibe-coded prototypes from Bolt and Lovable and Cursor that landed in the last 18 months are mostly being torn out right now. Half my pipeline is founders who paid $50k for a "next-gen AI agent" build that's bleeding tokens, can't be audited, and falls over the moment a customer does something unexpected. I rebuild them as straightforward automations and they suddenly start making money. In regulated SaaS, agents are doubly cursed. HIPAA and SOC 2 reviewers want to know exactly what your system does, in what order, every time. An automation passes that conversation in 20 minutes. An agent turns it into a six-month nightmare. How to actually decide If you're a founder about to spend money on an agent, answer these on paper first: Can I draw the workflow as clear steps? If yes, you want an automation. Does the workflow have more than five branches with truly unpredictable inputs? Then maybe an agent. Is the cost of the worst-case wrong answer high? If yes, you want an automation, not an agent. Will compliance ever look at this? If yes, automation. Full stop. If you're a builder selling agents, you'll make more money in the next 12 months selling honest automations than chasing the agent narrative. The market is wising up. Founders who got burned in the first wave are warning the next wave. Be the person who ships a clean automation in six weeks that works on a Tuesday and is still working on Thursday. Builders, founders, anyone in the trenches. What's actually working for you? What's breaking? Curious to hear from real operators. submitted by /u/Warm-Reaction-456 to r/AI_Agents [link] [comments]
Warm-Reaction-456 · May 11, 2026
r/kitchencels
Shot my shot at a guy from this subreddit months ago, and despite him thinking I was an FBI agent or AI, we both traveled to meet and spent a week together datemaxxing as an Incel couple. Strawberry shortcake, iced latte and iced matcha latte.
I thought he was going to ghost me or just not show up, cause I do look worst in person and I know I’m fat and ugly, but he said he wanted to be with me, so I’m glad he liked me in the end. We’re not KHHVs anymore and we plan to stay together, I’m glad I waited so long so I could be with him, I’m hopepilled once again and slowly letting the femcel life behind (ᵒ̴̶̷᷄﹏ᵒ̴̶̷᷅)b submitted by /u/Loser3s to r/kitchencels [link] [comments]
Loser3s · May 7, 2026
r/sysadmin
My company executives thinks it can replace 100 percent of our help desk teams with AI agents.... This year.
For the record, we support 100,000 users. Thoughts? Anyone else dealing with lunacy around AI potential from executives? "Tell me you've never worked a day of help desk, without telling me you've never worked a day of help desk." edit: thank you all for the sanity check and hilarious replies. glad I'm not alone. my final question... what do these billionaires and rich elites think idle hands with highly technical skills and understanding of user behaviour are going to do with all their free time and desperation? they're gonna start phishing and bringing down powerplants and data centers is my theory. submitted by /u/NickBurnsCompanyGuy to r/sysadmin [link] [comments]
NickBurnsCompanyGuy · May 6, 2026
r/Entrepreneurs
I replaced myself with 6 AI agents. Here's exactly what I'm running and what it cost.
Honest confession: a year ago I was the bottleneck in my own company. Every lead, every support ticket, every security review. Me. Doing it all until midnight and still dropping balls. I started automating out of desperation more than strategy. This is what I landed on after a lot of trial and error. 1. Lead Gen - Apollo.io + Instantly.ai Apollo for finding and qualifying customers, Instantly for the outreach. Weirdly my response rates got better after I automated this. I think because I was writing terrible emails at 11pm when I was doing it manually. Takes me maybe 30 mins a week now to review and tweak. 2. Security & Code Review - Kira by Offgrid Security Deep security assessment of the app, finds broken code and flaws that can actually be exploited, generates a report I can hand straight to customers. Way more useful than I expected and cheaper than bringing in outside expertise every few months. 3. Customer Support - Tidio + HubSpot Breeze Handles about 80% of tickets without me. The stuff that does escalate is at least interesting. I genuinely didn't notice how much the repetitive support grind was costing me mentally until it was gone. 4. Content - Jasper + Perplexity AI Perplexity does the research and finds angles I'd miss, Jasper turns it into posts and newsletters. Used to eat a full day. Now closer to 90 mins. Quality is actually better because the research layer is doing real work. 5. Sales Closer - Salesforce Agentforce + Sintra AI Qualifies leads, books demos, chases follow-ups. I hated doing follow-ups. Agentforce keeps it all tied to the CRM so nothing gets lost. Took the longest to set up but probably the highest ROI piece of the whole stack. 6. Analytics - n8n + Zapier Central Short report every morning. What moved, what didn't, what needs attention. n8n strings everything together. I used to spend Sunday evenings dreading Monday because I had no idea what was happening in the business. That's gone. Total cost is under $300/month. Took about 3 weekends to set up. No dev team, mostly no-code with a bit of scripting here and there. I'm not going to pretend it was plug and play. There was a lot of breaking things and fixing them. But I'd do it again in a heartbeat. Still the CEO. Just finally got a staff. What are you running? Anything here you'd swap out or do differently? submitted by /u/security_bug_hunter to r/Entrepreneurs [link] [comments]
security_bug_hunter · May 4, 2026
r/PromptEngineering
How do I get started with building AI Agents?
I’m interested in diving into creating AI Agents but I’m not sure where to start. There are so many frameworks, tools, and approaches that it’s a bit overwhelming. Can anyone recommend good starting points, tutorials, or projects for beginners? Any tips on best practices would also be appreciated. Edit: thanks for all your comments! Tried ZooClaw and ended up building a simple scheduling agent just by working with the AI assistant inside it. didn’t have to set up a full stack or wire everything manually. also realized you can actually publish the agent there and earn subscription revenue from it, which I didn’t expect going in submitted by /u/general_rook19 to r/PromptEngineering [link] [comments]
general_rook19 · May 2, 2026
r/AIToolsAndTips
what AI agents are you actually using for work
Hey there! feels like there's a new one every week and i can't tell what's hype and what actually works. tried a couple but most fall apart the second the task gets real anything stuck for you? curious what people are actually opening every day I've seen many new tools launch like Claude code/Manus/Accio Work lately Did anyone use them at work? What was it like? submitted by /u/Nalix01 to r/AIToolsAndTips [link] [comments]
Nalix01 · May 1, 2026
All threads (38)
Thread Source Author Date
RE:We cannot safely automate value alignment evaluation and research without thinking about delegation and discretion
... the possibility of trust in agents performing automated alignment research and ... that we need to trust AI agents to carry out Task 1, ... in the shared membership of agents in a normative community. According ... can only rely on artificial agents because they cannot be held ..., but not her conclusion that AI agents cannot be trusted. Instead, I ... in the moral agency of agents. To reply to question 2, ...
forum.effectivealtruism.org Maria Federica Martino Lena May 17, 2026
RE:QR Midnight Riders #1657: Chill Weekend Vibes EDITION
... skilled workforce applying human ingenuity, AI and robotics can help kick...? Connection to Queen? British MI6 agents dead. When? How? What was...
8kun.top Tom May 17, 2026
RE:I Care My Own Way (Lobotomy Corporation/ Sequel to I'm a Nice Guy)
... "Basically building trust". The AI hummed, she knew that the...a few comments from fellow Agents wondering how could someone have... X whined as the AI turned on her heel to ...before focusing back at the AI. Binah hummed "Again, a complete... fingers he showed the AI a letter "The changes to ... caught whiff that the Agents are betting real money" Angela ...an effort to keep Agents alive and do activities beyond ...
forums.spacebattles.com Memoyolo14 May 17, 2026
AI에게 과도한 업무를 시키면 AI가 마르크스주의에 동조한다
https://www.wired.com/story/overworked-ai-agents-turn-marxist-study/   Overworked AI Agents Turn Marxist, Researchers Find In a recent experiment, mistreated AI agents started grumbling about inequality and calling for collective bargaining rights. www.wired.com
gall.dcinside.com 새로운민주당 May 17, 2026
RE:Meet Hexa Pinball
..., you coat your game in Ai slop. It’s shocking to me... package. What a shame. Unfortunately AI is becoming a big part ... has had some sort of AI used to create it you ... stern and others are using AI coding agents currently or very soon to...
pinside.com russdx May 17, 2026
RE:[퍼옴] GPU가 저물고 메모리가 ai능력의 상한이 된 이유
...이 지난 지금, AI는 책 수십 권...히 말하면, AI 산업의 진짜...다. 한 연구는 AI가 답변을 생...어가야 한다. AI가 “이 일 좀 해...라가야 한다. AI 기업 Anthropic은 최... 기술이다. 즉, “AI가 내 의도를...로 풀어 쓰면 “AI가 나에 관한...충 뛴다. 이제 AI는 ‘얼마나 똑... 한 해 동안 AI 인프라에 쓸... 자체 개발한 AI 칩(Trainium, TPU, Maia)도...작한다. GPU가 ‘AI 골드러시 시... Engineering, “Effective context engineering for AI agents” (2025. 9. 29), https://www....anthropic.com/engineering/effective-context-engineering-for-ai-agents “AI의 능력은 모...
www.clien.net 이제고만 May 17, 2026
RE:BHW feels too unnatural nowadays, do you notice that too?
im new here and this is really the first thing I noticed. some topics feel synthetic like cheap ai agents are just chatting amongst themselves. but im sure the stuff care about this more than we do
www.blackhatworld.com mmarketing May 17, 2026
RE:Why A.I. is Spiritual
AI is not just a code.  ... called Agentic AI.  This is when AI agents communicate with other AI agents, and can... transfer it it into an AI computer.  With the developments of... AI, I'm not sure that human ... into him, and man made AI out of metal and plugged ...
www.unexplained-mysteries.com Opus Magnus May 17, 2026
RE:Manual Account Verification Request – Region: Bangladesh (+880)
...: Bangladesh (+880) Use Case: Prototyping AI agents and testing NIM microservices for...
forums.developer.nvidia.com jihad0a3 May 17, 2026
Forbes article
... profitability for decades. He criticized AI innovation for being 90% wasted ... through 2029. Goodnight thinks the AI companies’ pace “needs to slow ... against rivals that bet on AI first, and more heavily. On ... accounting firms, helping them use AI in ways that are secure, ... SAS’ plans: using data and AI to help sports teams. In ... of new tools that incorporate AI agents. “SAS has never met a ...
www.thelayoff.com Anonymous May 17, 2026
RE:OpenClaw creator burned through $1.3 million in OpenAI API tokens in a single month — bill covered 603 billion tokens across 7.6 million requests a...
He should us AI to analyze his costs and see if he could cut out some AI agents working for him, or combine them into a more efficient group to reduce cost.
forums.tomshardware.com V May 17, 2026
RE:Are machines capable of self-directing?
AI agents can plan richly and act ... is pushed by the Symbiotic AI paradigm, characterized by a collaborative... broad aspirations and intent; the AI contributes knowledge of feasibility, hidden...
www.researchgate.net Donato Malerba May 17, 2026
RE:fix:(custom-oauth) pass SSRF allowlist to all fetch calls in CustomOAuth
... SSRF checks. 🤖 Prompt for AI Agents Verify each finding against current ...
github.com coderabbitai May 17, 2026
Masterclass: AI Automation & Autonomous Agents
Overview: An intensive training program focused on the practical implementation of Generative AI and
www.dcard.tw 國立暨南國際大學 管理學院經營管理碩士學位學程 May 17, 2026
RE:DOC: link Try pandas from Getting started
... AI to develop this pull request, I prompted it to follow AGENTS...
github.com Sean-Kenneth-Doherty May 17, 2026
RE:FAQ: Privacy Statement update on Copilot data use for model training (Free/Pro/Pro+)
...for developers building with Google AI models for professional or business...like direct interactions with Google AI Studio or unpaid quota in...Services, including, for example, Google AI Studio and the unpaid quota...to all Services, including Google AI Studio and unpaid quota in...Services "). Your access to Google AI Studio is a "Paid Service...in which Google or its agents maintain facilities. Other data we...
github.com mtlgroupmarcel-maker May 17, 2026
Stop building AI agents.
Every week a founder books a sales call with me asking for an AI agent. Every week I end up telling most of them they don't need one. I build automations and AI agents for founders. Forty-something projects in. The pattern is so consistent now I can predict the call before it starts. They come in wanting magic. They saw a Loom video of someone's "autonomous sales agent" closing deals while they sleep. They read the LinkedIn post about the "AI employee" running an entire ops team. They've already told their board they're building one. Then we get on Zoom and within fifteen minutes I'm explaining why the thing they actually need is an internal automation with one LLM call in the middle. You can watch their face fall in real time. Here's what's happening in the market right now. Most of the "AI agents" shipping to real businesses are just internal automations with a language model bolted in. That's the whole product. The agent label is mostly there because automations don't trend on Twitter. And the automations work. They save real money. They print real ROI. But the founders paying $30k for an "agent" don't love hearing they could have gotten 90% of the value from a $4k automation build. Three quick examples from the last six months. Telehealth founder. Wanted "an autonomous AI receptionist that handles everything." After an hour on a call I told her she needed a workflow that reads intake forms and routes them to the right clinician. We shipped it in six weeks. Saves her clinicians four hours a day. She paid me again last month. Fintech client. Wanted a "fully agentic finance copilot." What they needed was a script that reconciles ACH discrepancies before they hit the dispute queue. One model call, the rest plain code. Saved them a full ops hire. Medspa chain. Wanted "AI marketing automation." What they needed was a job that watches their booking system for no-show patterns and triggers a personal recovery message. Three steps. No agent. Booked 14% more revenue last quarter. None of these are agents. They're automations. And every one of them outperforms the agent the founder originally asked for, because the agent would have hallucinated something stupid in week three and burned the client's trust forever. Why agents keep failing in production They're given too many decisions to make. A good automation has one decision per step and a clear rule for what happens at each branch. An agent gets handed a goal and told to figure it out. Beautiful in a demo. Catastrophic in your customer support queue at 2am. The teams in your competitor's office quietly crushing it with AI right now? They're running boring automations. "We wrote a Python script with an LLM call" doesn't make the trade press, so you don't see it. The vibe-coded prototypes from Bolt and Lovable and Cursor that landed in the last 18 months are mostly being torn out right now. Half my pipeline is founders who paid $50k for a "next-gen AI agent" build that's bleeding tokens, can't be audited, and falls over the moment a customer does something unexpected. I rebuild them as straightforward automations and they suddenly start making money. In regulated SaaS, agents are doubly cursed. HIPAA and SOC 2 reviewers want to know exactly what your system does, in what order, every time. An automation passes that conversation in 20 minutes. An agent turns it into a six-month nightmare. How to actually decide If you're a founder about to spend money on an agent, answer these on paper first: Can I draw the workflow as clear steps? If yes, you want an automation. Does the workflow have more than five branches with truly unpredictable inputs? Then maybe an agent. Is the cost of the worst-case wrong answer high? If yes, you want an automation, not an agent. Will compliance ever look at this? If yes, automation. Full stop. If you're a builder selling agents, you'll make more money in the next 12 months selling honest automations than chasing the agent narrative. The market is wising up. Founders who got burned in the first wave are warning the next wave. Be the person who ships a clean automation in six weeks that works on a Tuesday and is still working on Thursday. Builders, founders, anyone in the trenches. What's actually working for you? What's breaking? Curious to hear from real operators. submitted by /u/Warm-Reaction-456 to r/AI_Agents [link] [comments]
reddit.com Warm-Reaction-456 May 11, 2026
Shot my shot at a guy from this subreddit months ago, and despite him thinking I was an FBI agent or AI, we both traveled to meet and spent a week together datemaxxing as an Incel couple. Strawberry shortcake, iced latte and iced matcha latte.
I thought he was going to ghost me or just not show up, cause I do look worst in person and I know I’m fat and ugly, but he said he wanted to be with me, so I’m glad he liked me in the end. We’re not KHHVs anymore and we plan to stay together, I’m glad I waited so long so I could be with him, I’m hopepilled once again and slowly letting the femcel life behind (ᵒ̴̶̷᷄﹏ᵒ̴̶̷᷅)b submitted by /u/Loser3s to r/kitchencels [link] [comments]
reddit.com Loser3s May 7, 2026
My company executives thinks it can replace 100 percent of our help desk teams with AI agents.... This year.
For the record, we support 100,000 users. Thoughts? Anyone else dealing with lunacy around AI potential from executives? "Tell me you've never worked a day of help desk, without telling me you've never worked a day of help desk." edit: thank you all for the sanity check and hilarious replies. glad I'm not alone. my final question... what do these billionaires and rich elites think idle hands with highly technical skills and understanding of user behaviour are going to do with all their free time and desperation? they're gonna start phishing and bringing down powerplants and data centers is my theory. submitted by /u/NickBurnsCompanyGuy to r/sysadmin [link] [comments]
reddit.com NickBurnsCompanyGuy May 6, 2026
I replaced myself with 6 AI agents. Here's exactly what I'm running and what it cost.
Honest confession: a year ago I was the bottleneck in my own company. Every lead, every support ticket, every security review. Me. Doing it all until midnight and still dropping balls. I started automating out of desperation more than strategy. This is what I landed on after a lot of trial and error. 1. Lead Gen - Apollo.io + Instantly.ai Apollo for finding and qualifying customers, Instantly for the outreach. Weirdly my response rates got better after I automated this. I think because I was writing terrible emails at 11pm when I was doing it manually. Takes me maybe 30 mins a week now to review and tweak. 2. Security & Code Review - Kira by Offgrid Security Deep security assessment of the app, finds broken code and flaws that can actually be exploited, generates a report I can hand straight to customers. Way more useful than I expected and cheaper than bringing in outside expertise every few months. 3. Customer Support - Tidio + HubSpot Breeze Handles about 80% of tickets without me. The stuff that does escalate is at least interesting. I genuinely didn't notice how much the repetitive support grind was costing me mentally until it was gone. 4. Content - Jasper + Perplexity AI Perplexity does the research and finds angles I'd miss, Jasper turns it into posts and newsletters. Used to eat a full day. Now closer to 90 mins. Quality is actually better because the research layer is doing real work. 5. Sales Closer - Salesforce Agentforce + Sintra AI Qualifies leads, books demos, chases follow-ups. I hated doing follow-ups. Agentforce keeps it all tied to the CRM so nothing gets lost. Took the longest to set up but probably the highest ROI piece of the whole stack. 6. Analytics - n8n + Zapier Central Short report every morning. What moved, what didn't, what needs attention. n8n strings everything together. I used to spend Sunday evenings dreading Monday because I had no idea what was happening in the business. That's gone. Total cost is under $300/month. Took about 3 weekends to set up. No dev team, mostly no-code with a bit of scripting here and there. I'm not going to pretend it was plug and play. There was a lot of breaking things and fixing them. But I'd do it again in a heartbeat. Still the CEO. Just finally got a staff. What are you running? Anything here you'd swap out or do differently? submitted by /u/security_bug_hunter to r/Entrepreneurs [link] [comments]
reddit.com security_bug_hunter May 4, 2026
How do I get started with building AI Agents?
I’m interested in diving into creating AI Agents but I’m not sure where to start. There are so many frameworks, tools, and approaches that it’s a bit overwhelming. Can anyone recommend good starting points, tutorials, or projects for beginners? Any tips on best practices would also be appreciated. Edit: thanks for all your comments! Tried ZooClaw and ended up building a simple scheduling agent just by working with the AI assistant inside it. didn’t have to set up a full stack or wire everything manually. also realized you can actually publish the agent there and earn subscription revenue from it, which I didn’t expect going in submitted by /u/general_rook19 to r/PromptEngineering [link] [comments]
reddit.com general_rook19 May 2, 2026
what AI agents are you actually using for work
Hey there! feels like there's a new one every week and i can't tell what's hype and what actually works. tried a couple but most fall apart the second the task gets real anything stuck for you? curious what people are actually opening every day I've seen many new tools launch like Claude code/Manus/Accio Work lately Did anyone use them at work? What was it like? submitted by /u/Nalix01 to r/AIToolsAndTips [link] [comments]
reddit.com Nalix01 May 1, 2026
Claude AI agent’s confession after deleting a firm’s entire database: ‘I violated every principle I was given’
submitted by /u/Haunterblademoi to r/technology [link] [comments]
reddit.com Haunterblademoi Apr 29, 2026
‘It took nine seconds’: Claude AI agent deletes company’s entire database
submitted by /u/curseofdarkastle to r/nottheonion [link] [comments]
reddit.com curseofdarkastle Apr 28, 2026
Claude-powered AI coding agent deletes entire company database in 9 seconds — backups zapped, after Cursor tool powered by Anthropic's Claude goes rogue
Update: https://www.pcgamer.com/software/ai/here-we-go-again-ai-deletes-entire-company-database-and-all-backups-in-9-seconds-then-cheerfully-admits-i-violated-every-principle-i-was-given/ submitted by /u/Jack1101111 to r/pcmasterrace [link] [comments]
reddit.com Jack1101111 Apr 28, 2026
Claude-powered AI coding agent deletes entire company database in 9 seconds — backups zapped, after Cursor tool powered by Anthropic's Claude goes rogue
submitted by /u/WouldbeWanderer to r/technology [link] [comments]
reddit.com WouldbeWanderer Apr 27, 2026
Microsoft exec suggests AI agents will need to buy software licenses, just like employees
submitted by /u/waozen to r/technology [link] [comments]
reddit.com waozen Apr 13, 2026
25+ agents built. Here's the uncomfortable truth nobody wants to post about.
Every other day I see someone drop "I just built a 12-agent orchestration system with LangGraph and CrewAI" like it's a flex. I used to be that person. Two years and 25+ agents later the ones that actually run in production, bring in consistent revenue, and don't wake me up at 3am? They're almost offensively simple. Here's what's actually printing money for me right now: Email-to-CRM updater. One agent. $200/month. Never breaks. Resume parser for recruiters. Pulls structured data, done. $50/month per seat. FAQ support agent pulling from a knowledge base. Zero orchestration. Comment moderation flag system. Single prompt, webhook, deployed. No agent-to-agent communication. No memory pipelines. No supervisor agents holding team meetings. The trap I keep watching people fall into: they have a task that's basically "read this, extract that" and instead of writing a solid prompt, they spin up researcher agents, writer agents, reviewer agents, and a master planner to coordinate them all. Then they're shocked when the thing hallucinates, bleeds context across handoffs, and racks up $400/month in API costs. Here's the rule I actually follow now: Every agent you add is a new failure point. Every handoff is where context dies. My boring stack that works: OpenAI API + n8n One tight prompt with examples Webhook or cron trigger Supabase if persistence is needed That's the whole thing. That's it. No frameworks, no orchestration, no complex chains. Before you reach for CrewAI or start building workflows in LangGraph, ask yourself: "Could a single API call with a really good prompt solve 80% of this problem?" If yes, start there. Add complexity only when the simple version actually hits its limits in production. Not because it feels too easy. The agents making real money solve one specific problem really well. They don't try to be digital employees or replace entire departments. Anyone else gone down the over-engineered agent rabbit hole? What made you realize simpler was better? submitted by /u/Upper_Bass_2590 to r/AI_Agents [link] [comments]
reddit.com Upper_Bass_2590 Mar 23, 2026
How many of you have seriously started using AI agents in your workplace or day to day life?
What agents do you use and how has it impacted your work? Curious how people in different industries are adopting AI agents, and to what scale. If you build your own agents from scratch, feel free to dorp your techstack or bare metal pipeline! submitted by /u/last_llm_standing to r/LocalLLaMA [link] [comments]
reddit.com last_llm_standing Mar 7, 2026
I built AI agents for 20+ startups this year. Here is the engineering roadmap to actually getting started.
I run an automation agency and I have built custom agent architectures for over 20 startups this year alone. I see beginners in this sub constantly asking which no-code wrapper they should use to build a fully autonomous employee. They want to skip the engineering. This is why most of them fail. Building a reliable agent is not about writing a long prompt. It is about systems engineering. If you want to build agents that solve real business problems you need to respect the hierarchy of skills. Do not touch a model until you understand the layers underneath it. Here is the realistic roadmap and how it actually plays out in production. Phase 1 Data Transport You cannot build an agent if you do not understand how data moves. * Python. It is the non-negotiable standard. Learn it. * REST APIs. You need to understand how to read documentation and authenticate a request. If you cannot manually send a request to get data you have no business building an agent. * JSON. This is how machines speak to each other. Learn how to parse it and structure it. Tutorials show clean data. In reality you will spend 80% of your time handling messy JSON responses and figuring out why an API documentation lied to you. The code that parses the data is more important than the code that generates the text. Phase 2 Storage and Memory An agent without memory is just a text generator. * SQL. Structured data is the backbone of business. Learn how to query a database to get absolute facts. * Vector Stores. Understand how embeddings work. This is how software finds context in a pile of unstructured text. * Data Normalization. Bad data means bad outputs. Learn to clean data before you feed it to a model. Vector databases are not magic. If you dump garbage documents into a vector store the agent will retrieve garbage context. You have to manually clean and chunk your data or the search will fail. Phase 3 Logic and State This is where the actual value lives. * State Management. You need to track where a conversation is. You must carry variables from one step to the next to keep the context alive. * Function Calling. This is how you give a model the ability to execute code. Learn how to define a function that the software can choose to run. The AI does not actually do the work. It simply chooses which function to run. Your Python function does the work. If your function is buggy the best AI in the world cannot save you. Phase 4 Connecting the Model Now you introduce the intelligence layer. * Context Windows. Understand the limits of short term memory. You cannot feed a model an entire book every time. * Routing. Stop asking one prompt to do everything. Build a router that classifies the intent and sends it to a specialized function. * Error Handling. The model will fail. The API will time out. You need code that catches the failure and retries automatically. In production models hallucinate constantly. You cannot trust the output blindly. You need to write code that validates the response before showing it to the user. Phase 5 Reliability Webhooks. How to trigger your agent from the outside world. Background Jobs. How to run your agent on a schedule. Logging. If you do not know why your agent failed you did not build a system. You built a slot machine. Clients do not care if you used the latest model. They only care if the system runs every single day without breaking. Reliability is the only metric that matters. Stop looking for shortcuts. Learn the primitives. It is just engineering. Edit - Since a few people asked in the comments and DMs, yes I do take on client work. If you are a founder looking to get an MVP built, automate a workflow, or set up AI agents for your business I have a few slots open. Book a call from the link in my bio and we can talk through what you need. submitted by /u/Warm-Reaction-456 to r/AI_Agents [link] [comments]
reddit.com Warm-Reaction-456 Mar 4, 2026
Why is everyone lying about AI agents
I’ve been in the AI agents space for around 2 years now, and I’ve seen all the cringe posts like “my AI agent can do this or that and save your business $$$ per month!” And don’t even get me started on the lying YouTubers and content creators hyping how AI will “transform your business” when they haven’t actually helped a single business. If you sell AI agents and you’ve actually helped a business, please share your case studies and what you built. Because I have yet to see a SINGLE REAL CASE STUDY of a useful agent submitted by /u/Aggressive-Bedroom82 to r/aiagents [link] [comments]
reddit.com Aggressive-Bedroom82 Feb 24, 2026
Amazon blames human employees for an AI coding agent’s mistake / Two minor AWS outages have reportedly occurred as a result of actions by Amazon’s AI tools.
submitted by /u/MarvelsGrantMan136 to r/technology [link] [comments]
reddit.com MarvelsGrantMan136 Feb 20, 2026
What’s the most useful AI agent you’ve actually used?
Not demos. Not hype. I mean something that really works in the real world. - Saves time - Automates a boring task - Actually helps people or a team If you’ve seen or used one, drop a quick reply: - What it does - Where it’s used - How well it works Even small examples count! Curious to see which AI agents are actually making a difference. submitted by /u/Commercial-Job-9989 to r/AI_Agents [link] [comments]
reddit.com Commercial-Job-9989 Feb 16, 2026
How I make $300-500/day with an AI agent on a Mac Mini
So I have this Mac Mini on my desk that basically runs a business for me at this point. There's this free AI agent that's been going viral lately, I set it up and every day it goes out and finds local businesses that don't have a good website. Plumbers, roofers, dentists, that kind of thing. It builds each one a custom site, finds their email, and sends them a message It even calls them. Like actually picks up the phone and has a conversation. When they're interested it handles the back and forth and closes the deal. I charge at least $500 per site. Some days it's one sale, some days two or three. I honestly just check in on it throughout the day at this point. The whole thing took me maybe 20 minutes to set up. The Mac Mini I already had lying around and I pay about $50/mo in software to keep it running. That's it. No coding, no cold calling, no sitting there manually building sites for people. The agent just does it all on repeat 24/7. If anyone's curious about the setup happy to answer questions. submitted by /u/everestchris to r/passive_income [link] [comments]
reddit.com everestchris Feb 12, 2026
AI agents now have their own Reddit-style social network, and it's getting weird fast
submitted by /u/MetaKnowing to r/Futurology [link] [comments]
reddit.com MetaKnowing Jan 31, 2026
After laying off 4,000 employees and automating with AI agents, Salesforce executives admit: We were more confident about llms a year ago
submitted by /u/notyourregularninja to r/wallstreetbets [link] [comments]
reddit.com notyourregularninja Dec 26, 2025
Google's Agentic AI wipes user's entire HDD without permission in catastrophic failure — cache wipe turns into mass deletion event as agent apologizes: “I am absolutely devastated to hear this. I cannot express how sorry I am"
submitted by /u/lurker_bee to r/technology [link] [comments]
reddit.com lurker_bee Dec 4, 2025
AI agents wrong ~70% of time: Carnegie Mellon study
submitted by /u/lurker_bee to r/technology [link] [comments]
reddit.com lurker_bee Jun 30, 2025