... comment on my last thread made me rethink how confirmation should work in AI agents. Someone asked: If I ve approved the same action 20 times, why should the agent keep asking? That feels obvious at first. If I repeatedly approve the same low-risk action

... like a plan, and the run is just as dead as it would be under a plain denial, with better paperwork. The other half I would qualify. Deny is a non-action only before the action

... recently explored a human-in-the-loop approval flow for AI-powered workflows. When an AI system wants to perform an important action, it can pause, explain what it plans to do and wait for a user to approve, reject or modify the action

... teams are giving AI agents access to emails, databases, customer accounts, and production tools. But the agent can do it is not the same as the agent should do it without asking. I ve found it useful to separate actions into three levels: 1. Observe freely Reading documents, checking analytics, identifying errors, or preparing recommendations. The agent can inspect and report, but cannot change anything. 2. Act within limits Updating a draft, tagging a support ticket, changing a small field ... ... performing an action

... agent projects spend months improving prompts, models, and workflows, then ship to production without asking a few fairly basic questions. Before trusting an AI agent with real work, I'd want clear answers to these: 1. What actions is the agent allowed to take? Define the boundaries before deployment, not after. 2. Which tools and systems can it access? Give access based on necessity, not convenience. 3. Are sensitive actions

... most audit trails answer 'did this action happen.' the ones that hold up under legal scrutiny answer something harder: 'would the reviewer who signed it still say yes if you asked them today.' ive been calling this consent-of-record. not just reviewer id, but reviewer knew X at time of sign-off and stands behind it now. it sits above the usual forensic level (timestamp, user, action

... Unknown`, `Unsupported`); - Open behavior : directory shortcuts and symlink folders navigate to their targets; other link targets open with the default app; Native Properties Window On Windows, open the native system Properties dialog for selected items from the context menu, actions menu, `Alt+Enter`, or `Alt` + double-click. List View Column Resizing And Reordering List view columns can be resized and reordered to match how you work. - Resize : drag column edges to change widths; - Reorder and visibility : manage order and visibility ... ... controls in the navigator options menu. - Sort by : Name, Items, Size, Modified, Created, Tags, Kind, Links, and Link status; - Direction : ascending or descending, stored separately from list-view sorting; Shell Extensions The context menu can load modern shell extension actions

... usually a suggestion that a person could accept, reject, or ignore. Agents change that dynamic a bit. An AI agent might update a CRM, approve a workflow, modify a database record, send a message to a customer, or trigger actions across multiple systems. At that point, the conversation is no longer just about the quality of the answer. It's also about the consequences of the action

... worker. For UI testing, a remote headed browser is not just a convenience. It changes the debugging loop. Instead of asking "what did the script think happened?", you can ask "what did the user actually see?" ### Harness Code vs Local Agent Harness Another important decision is where the agent capability should come from. One option is to build the entire reasoning layer yourself: call an LLM API directly, manage prompts, retries, tool calls, screenshots, JSON parsing, and safety rules. That ... ... gives maximum control, but it also means the test harness becomes an AI platform project. The alternative

... trying to understand how builders are handling this. AI agents are moving from generate text to take actions : - run shell commands - call APIs - modify GitHub repos - access databases - trigger deploys - send webhooks/emails - use MCP tools Prompt injection feels much more serious once the agent can actually execute something. My current thinking is that teams need a checkpoint before execution: agent wants to call a tool policy checks the tool + args action

... shows you your visibility, share of voice, and citation rates across each platform individually . This allows you to see exactly where you win and where you are invisible, with the granularity required to understand each platform's editorial identity. Competitor Intelligence: The platform automatically detects competitors

... that actually means: Most AI support chatbots stop at Q&A. Customer asks a question, bot answers, conversation ends. That always felt like a missed opportunity to us. So we built what we call Superpowers. A set of actions your agent can take inside the conversation, not just words it can say. Here's what's available today: CALENDAR BOOKING Customer asks "can I schedule a call?" and the agent offers real available time slots, collects their details ... ... become sales conversations. LEAD CAPTURE When a visitor shows buying intent, a name + email form appears naturally in the chat. No popups. No interruptions. Your sales team gets a warm lead without the visitor ever leaving the conversation. CUSTOM ACTIONS

... shipping, posting, emailing, calling and weeks go by without stepping back to see what's actually moving your business. Vantage gives you that step back. Write what happened this week in plain text. It extracts your actions and metrics, tracks them over time, and shows you which of your habits are driving growth across weeks, not just today. The longer you use it, the clearer the picture gets. What you get: Pattern detection which actions

... records-models for real. Comment from Aadil Ghani(@aadilghani): @blah_mad   First-class, and not a close call, for one reason: a policy change and a per-action approval live at different altitudes. A per-action

... Agentic browsers are exciting until the assistant closes the wrong tabs. We built a hard stop for irreversible actions. Insight for other users:  When Oasis plans something  destructive  (for example closing many tabs or deleting data), a  confirmation modal  blocks the browser until you  approve or cancel . Nothing runs until you make an explicit choice. What usually does not trigger this:  Non-destructive reads like listing tabs, summarizing a page, or searching your ... ... kahana.io/docs/plain-english-browser-control  |  https://kahana.io/docs/split-vie...  |  https://kahana.io/docs/busy-stre... Questions we would love your take on: What deserves a modal Should close all tabs except pinned always confirm? What else belongs on the destructive list? Friction vs

... talks, the human acts. But the real unlock is when the AI can close the loop itself query the database, send the email, update the record without a human in the middle. The hard part isn't the action itself. It's the non-determinism. How do you build a system where the AI decides when to act, which action

... talks, the human acts. But the real unlock is when the AI can close the loop itself query the database, send the email, update the record without a human in the middle. The hard part isn't the action itself. It's the non-determinism. How do you build a system where the AI decides when to act, which action

... cross-platform terminal dashboard for GitHub. v0.10.0 just shipped and it's the first release where the app steps beyond "summary dashboard" you can now drill into a single repo / PR / issue without leaving the terminal. What's new: Action menu press space on any row of Repos / PRs / Issues to open a centered modal: Actions

... this guide isn't just a quick summary. We're going to go deep. We'll explain exactly what Snaply is, how it works, why privacy matters so much for dictation tools, how it stacks up against every major alternative, who it's best for, and how to get the most out of it. Whether you're a solo professional, part of a team, or evaluating dictation software for an enterprise deployment, this is the most complete breakdown ... ... find. Table of Contents Why AI Dictation Matters in 2026 What Makes a Truly Great Dictation App What Is Snaply? Snaply's Core Features: In Depth Why Privacy Is Non-Negotiable for Dictation Snaply vs

... just exposure, but the degree to which AI treats your brand as a credible source . Share of Voice (SOV): Represents your brand s voice share within AI narratives the probability that AI mentions your brand rather than a competitor when answering a topic-related question. Sentiment: Captures the emotional tone of AI mentions positive, neutral, or negative showing how AI portrays your brand. Together, these four metrics answer the two most fundamental GEO questions: How frequently does AI mention ... ... brand? and In what tone and context is the brand represented? 1.2 Trends and Competitor

... busmark_w_nika you are right. The project that I have been currently working on is to prevent just that! Firstly, it can trace the reasoning and execution path of every actions AI agent takes. Secondly, it has auto-eval capability that evaluates if the thoughts and actions

... will be a keeper." These aren't paid reviews. These are power users who found something that clicked. ExtraBar helps remove many apps from the menu bar. (Some users said that this replaces barthnder for them ) And add custom action lists to ExtraBar, finally allowing them to have what they need, when and where they need it. What We've Built Since My Last Update Four updates since my last post. Each one is shaped by your and our users ... ... feedback. v1.1.9 Organization Overhaul - Actions

... visibility and GEO. Instead of answering them one by one in comments (which we did, but not enough), we re opening this up as a shared walkthrough on how to research GEO properly and turn it into measurable action . Here are the exact questions people have been asking us: How is GEO actually different from SEO? What signals do LLMs care about? How do you know which prompts are worth optimizing before spending time or money? How do you separate ... ... being mentioned from being trusted or recommended ? How do you track impact when models are non-deterministic and drift over time? How do actions

... asked ourselves: > Why do tools only watch the house burn instead of handing us the fire extinguisher? What SubTrackHub Does Differently SubTrackHub helps engineering teams find inefficiencies AND fix them, with minimal context switching. Autonomous waste detection + clear actions Identify unused or idle cloud resources (EC2, S3, Lambda, etc.) Spot SaaS bloat (unused seats, forgotten licenses, duplicate subscriptions) Present issues as Actionable

... anyone can try it without needing a code. I originally built Timix because I wanted a clean timer that could support any routine. Imagine multiple timers running in a sequence with visual cues, voice alerts, Shortcuts automations, 15+ actions in total all the stuff regular timer apps don t usually do. This opens up a new, effortless way to build your own routines and be more creative. Over time, people started using it for workouts, studying, cooking, meditation, and anything ... ... that needs structure. ## What Timix can do that most Timers can't - Cross-platform App (iPhone, iPad, Mac, Watch) - 15+ actions