Search “Agents”

TELUS Digital cuts early cancellation rate by more than half with ElevenAgents

TELUS Digital built an outbound voice agent based on ElevenAgents that proactively calls customers who have newly activated home internet, resulting in a 30-day cancellation rate for customers who received the call that is less than half of that of new customers overall. The agent can disclose its AI identity, explain the first bill, guide customers to self-service tools, and remind them of bundle discounts, and can authenticate customers during the call via SMS verification code and read real-time billing data through an API. TELUS Digital selected ElevenAgents after evaluating options from November 2025 to February 2026 against five criteria: voice expressiveness, agent framework flexibility, real-time emotional adjustment, enterprise security and compliance, and response latency.

View story:TELUS Digital uses ElevenAgents to cut early cancellation rates by more than half

Zhaopin launches B-end recruitment Agent "Zhaopin Xiaozhao"

On October 29, 2026, Zhaopin launched its self-developed B-end recruitment Agent "Zhaopin Xiaozhao." According to Sina Tech, the product was released at the 2026 Tencent Global Digital Ecosystem Summit and, in partnership with the office collaboration platform WorkBuddy, was integrated into its workspace for the first time, making its debut experience available to enterprise users. The report states that "Zhaopin Xiaozhao" can proactively take over the process from sourcing candidates, organizing resumes, and assisting with evaluation to recruitment communication and advancing scheduled tasks, achieving "more accurate the more it is used" based on data from 15.49 million+ cumulative partner enterprises and 404 million+ professionals; HR can generate job JDs with one click in WorkBuddy and publish them to the Zhaopin recruitment platform, with "Zhaopin Xiaozhao" continuing the subsequent sourcing, screening, and communication services. The product is currently in its debut open-experience phase.

Peter Steinberger says Agents are better than humans at finding bugs

On October 28, 2026, Peter Steinberger posted a comment saying that AI agents are better than humans at finding bugs, and joked about whether anyone at Disney still writes code by hand. The accompanying image in the related post provided no further details. There has been no subsequent development or official response so far.

Aaron Levie predicts that Agent token consumption will reach 1,000 times the current level

Box CEO Aaron Levie predicted on October 29, 2026, that agents will in the future consume 1,000 times the tokens they do today, because agents will need to run within workflows, process enterprise data, build almost all software, and secure enterprises. Levie believes that achieving this scale requires simultaneously advancing the capabilities, safety, and efficiency under large workloads of both closed-source models and open-weight models. He also mentioned that Suhail is building Particle for this purpose; Suhail announced the new company Particle the same day, whose particle-1 model uses about 45% fewer tokens at comparable performance.

Aaron Levie predicts that Agents will consume a thousand times more tokens than today

Box CEO Aaron Levie predicted on October 29, 2026, that agents will in the future consume 1,000 times the tokens they do today, because agents will need to run within workflows, process enterprise data, build almost all software, and secure enterprises. Levie believes that achieving this scale requires simultaneously advancing the capabilities, safety, and efficiency under large workloads of both closed-source models and open-weight models. He also mentioned that Suhail is building Particle for this purpose; Suhail announced the new company Particle the same day, whose particle-1 model uses about 45% fewer tokens at comparable performance.

View story:Aaron Levie predicts that Agent token consumption will reach 1,000 times the current level

Thariq proposes that technical and non-technical people have opposite mindsets toward Agents

Thariq offered an observation: technical and non-technical people exhibit opposite mindsets when facing AI agents. Technical people feel frustrated, believing their skills have become useless; non-technical people are eager to understand technology better so they can use AI agents more effectively. This observation was published on October 29, 2026, and there are currently no subsequent developments.

Thariq proposes that technical and non-technical people have opposite mindsets toward Agents

Thariq offered an observation: technical and non-technical people exhibit opposite mindsets when facing AI agents. Technical people feel frustrated, believing their skills have become useless; non-technical people are eager to understand technology better so they can use AI agents more effectively. This observation was published on October 29, 2026, and there are currently no subsequent developments.

View story:Thariq proposes that technical and non-technical people have opposite mindsets toward Agents

MiniMax Code team open-sources Agent workflow and Skills

On October 28, 2026, the MiniMax Code team open-sourced MCode Stack, packaging the Agent workflows and Skills the team uses daily into installable SKILL.md files and manifests, which can be integrated as plugins into MiniMax Code and any Agents that support Skills. The repository packages stacks by member, among which stacks/ronny/ is the most complete, containing 15 skills covering sub-Agent decomposition, context and tool budget auditing, long-session handoff, independent review, and hotfix judgment. An accompanying notes/ column, MCode Engineering Notes, explains the rationale; six engineering-* entries are adapted from Google Engineering Practices, with the adapted portions retaining CC-BY 3.0 and the rest under MIT. The next day, reports stated that the project is open-sourced under the MIT license, includes 17 SKILL.md skills and 5 manifests, does not contain MiniMax Code source code, and can be installed by copying the skill directories, via a local plugin, or through a plugin marketplace, and can also be installed in Claude Code; the original text did not publish evaluation results.

Arena.ai says Gemini 4 Carbon ranks second on Agent Arena

On October 28, 2026, Google DeepMind released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0, and scoring 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench. The model is aimed at long-horizon engineering tasks and was first opened to some cybersecurity defenders, then expanded through the Fairwind Program, and afterward made available to developers, enterprises, and consumers. On October 29, Arena.ai said Gemini 4 Carbon ranked 2nd in Agent Arena with a net improvement of 16.2%, and was on the Pareto frontier for cost, time, and output tokens per task; the same day, Yuchen Jin cited Artificial Analysis data saying it was smarter than Opus 5.5 and cheaper per task, but noted that the evaluation used the Antigravity CLI. On October 30, the Artificial Analysis Intelligence Index showed it in first place with 59 points, 1 point higher than Claude Opus 5.5. On October 31, Perplexity CEO Aravind Srinivas shared early evaluations

View story:Google DeepMind releases the Gemini 4 Carbon model

Thariq proposed hoping to express ideas to the Agent using sketches

On October 29, 2026, Thariq proposed that he very much hopes to first sketch out animation ideas and character concept drafts himself, and then have the agent refine them, rather than going to the trouble of searching for reference cases. He also mentioned that he has seen artists deeply worried about AI, but he still hopes to use the agent to complete his ideas, and lamented his own lack of this expressive ability. Currently, this statement exists only in one remark by Thariq himself, with no subsequent developments or institutional response.

Snaptrude launches the AI agent Snaptrude Agent

Snaptrude launches the AI agent Snaptrude Agent, which can turn a design brief into a construction-grade 3D model covering structure, MEP and drawings. According to Testing Catalog, the agent first presents a plan before modeling and producing drawings, and everything it adds remains editable, so architects can take over at any time. Rohan Paul relays that the model can start from a site or a brief to generate an LOD 400 construction-grade model including structure, MEP and complete drawings, and supports exporting back to the original software while preserving component families. According to its founder, during the early access phase more than 2,000 designers have run over 25,000 tasks through the agent, and the team has also released AECBench, a benchmark for AEC, along with its first results.

Snaptrude launches AI agent Snaptrude Agent

Snaptrude launches the AI agent Snaptrude Agent, which can turn a design brief into a construction-grade 3D model covering structure, MEP and drawings. According to Testing Catalog, the agent first presents a plan before modeling and producing drawings, and everything it adds remains editable, so architects can take over at any time. Rohan Paul relays that the model can start from a site or a brief to generate an LOD 400 construction-grade model including structure, MEP and complete drawings, and supports exporting back to the original software while preserving component families. According to its founder, during the early access phase more than 2,000 designers have run over 25,000 tasks through the agent, and the team has also released AECBench, a benchmark for AEC, along with its first results.

View story:Snaptrude launches the AI agent Snaptrude Agent

OpenRouter announced the return of Royale: Last Agent Standing

OpenRouter announced the return of Royale: Last Agent Standing. According to the information it released, 20 models from 10 labs will compete in 30 matches in a livestream, with only one winner left in the end; the livestream commentary will be provided by ElevenLabs V4, on Thursday, October 29 at 12 PM ET. The same report noted that the cited teaser post stated the scale as 30 models and 20 labs, which is inconsistent with the scale described in the main text. There are currently no subsequent developments.

AgentWeb goes live: AI agents complete website tasks without a browser

On October 29, 2026, AgentWeb released web infrastructure for intelligent agents, enabling AI agents to complete website tasks without a browser by invoking preset actions instead of reading screenshots and clicking buttons. According to a report by Rohan Paul the same day, the company claims it has completed 47/47 real-time tasks across 15 government portals, 7 insurance companies, and 25 sites requiring login such as Amazon and LinkedIn, with a median time of 1.9 seconds and a total cost of 3 US dollars per round. Each mapped task is exposed as a tool, including an input schema, preconditions, permission boundaries, and completion credentials, and can be invoked from any assistant. There are currently no subsequent developments.

Zhaopin launches B-side recruitment Agent "Zhaopin Xiaozhao"

On October 29, 2026, Zhaopin launched its self-developed B-end recruitment Agent "Zhaopin Xiaozhao." According to Sina Tech, the product was released at the 2026 Tencent Global Digital Ecosystem Summit and, in partnership with the office collaboration platform WorkBuddy, was integrated into its workspace for the first time, making its debut experience available to enterprise users. The report states that "Zhaopin Xiaozhao" can proactively take over the process from sourcing candidates, organizing resumes, and assisting with evaluation to recruitment communication and advancing scheduled tasks, achieving "more accurate the more it is used" based on data from 15.49 million+ cumulative partner enterprises and 404 million+ professionals; HR can generate job JDs with one click in WorkBuddy and publish them to the Zhaopin recruitment platform, with "Zhaopin Xiaozhao" continuing the subsequent sourcing, screening, and communication services. The product is currently in its debut open-experience phase.

View story:Zhaopin launches B-end recruitment Agent "Zhaopin Xiaozhao"

Thariq proposed expressing creative ideas to the Agent using sketches

On October 29, 2026, Thariq proposed that he very much hopes to first sketch out animation ideas and character concept drafts himself, and then have the agent refine them, rather than going to the trouble of searching for reference cases. He also mentioned that he has seen artists deeply worried about AI, but he still hopes to use the agent to complete his ideas, and lamented his own lack of this expressive ability. Currently, this statement exists only in one remark by Thariq himself, with no subsequent developments or institutional response.

View story:Thariq proposed hoping to express ideas to the Agent using sketches

OpenRouter announces the return of Royale: Last Agent Standing

OpenRouter announced the return of Royale: Last Agent Standing. According to the information it released, 20 models from 10 labs will compete in 30 matches in a livestream, with only one winner left in the end; the livestream commentary will be provided by ElevenLabs V4, on Thursday, October 29 at 12 PM ET. The same report noted that the cited teaser post stated the scale as 30 models and 20 labs, which is inconsistent with the scale described in the main text. There are currently no subsequent developments.

View story:OpenRouter announced the return of Royale: Last Agent Standing

AgentWeb launches, enabling AI agents to complete website tasks without a browser

On October 29, 2026, AgentWeb released web infrastructure for intelligent agents, enabling AI agents to complete website tasks without a browser by invoking preset actions instead of reading screenshots and clicking buttons. According to a report by Rohan Paul the same day, the company claims it has completed 47/47 real-time tasks across 15 government portals, 7 insurance companies, and 25 sites requiring login such as Amazon and LinkedIn, with a median time of 1.9 seconds and a total cost of 3 US dollars per round. Each mapped task is exposed as a tool, including an input schema, preconditions, permission boundaries, and completion credentials, and can be invoked from any assistant. There are currently no subsequent developments.

View story:AgentWeb goes live: AI agents complete website tasks without a browser

Peter Steinberger says Agents are more likely than humans to find bugs

On October 28, 2026, Peter Steinberger posted a comment saying that AI agents are better than humans at finding bugs, and joked about whether anyone at Disney still writes code by hand. The accompanying image in the related post provided no further details. There has been no subsequent development or official response so far.

View story:Peter Steinberger says Agents are better than humans at finding bugs

MiniMax Code team open-sources Agent workflows and Skills

On October 28, 2026, the MiniMax Code team open-sourced MCode Stack, packaging the Agent workflows and Skills the team uses daily into installable SKILL.md files and manifests, which can be integrated as plugins into MiniMax Code and any Agents that support Skills. The repository packages stacks by member, among which stacks/ronny/ is the most complete, containing 15 skills covering sub-Agent decomposition, context and tool budget auditing, long-session handoff, independent review, and hotfix judgment. An accompanying notes/ column, MCode Engineering Notes, explains the rationale; six engineering-* entries are adapted from Google Engineering Practices, with the adapted portions retaining CC-BY 3.0 and the rest under MIT. The next day, reports stated that the project is open-sourced under the MIT license, includes 17 SKILL.md skills and 5 manifests, does not contain MiniMax Code source code, and can be installed by copying the skill directories, via a local plugin, or through a plugin marketplace, and can also be installed in Claude Code; the original text did not publish evaluation results.

View story:MiniMax Code team open-sources Agent workflow and Skills