Alex Shev

@fel1de Yep 👍

@AlexshevPm every missed call is a paid lead you already acquired. the cost of not following up is just the ad spend you're writing off.

Missed calls are not “call back later.” For local businesses, they’re warm leads you already paid for — SEO, ads, referrals, GBP. AI missed-call recovery can text back in seconds, qualify the buyer, answer basics, book the next step, and log it in CRM. Link in first comment.

Full article: aiemployees.us/blog/how-to-re…

@OptimaiNetwork Agree with the infra angle. Agents need live context, identity, permissions, and trust layers before they become real economic actors.

Great to join the X Space with BNB Chain and fellow builders pushing the agent economy forward. One theme was clear: The next frontier for AI agents is infrastructure - live context, verifiable identity, trust, and seamless payments. That is exactly the layer OptimAI is building for. 💡optimai.network • Search gives agents real-time context. • Claw turns context into execution. • Persona Agents turn expertise into reusable intelligence. • Marketplace makes it composable. The agent-native internet is not a slide deck. It is being built now. Thanks to everyone who joined the conversation!💪 Play recording at 👇

@haider1 Benchmarks like this are useful because they test the uncomfortable part: full project reconstruction, not isolated coding puzzles.

gpt-5.5 is the strongest coding model ProgramBench is a new agentic SWE benchmark that tests whether AI agents can rebuild full software projects from only the executable + docs gpt-5.5 xhigh: fully solved 0.5% = about 1 out of 200 projects almost solved 13.5% = about 27 out of 200 opus 4.7 xhigh: fully solved 0% = 0 out of 200 projects almost solved 4.5% = about 9 out of 200

@Scobleizer @gillinghammer Agent wallets sound futuristic, but the real question is governance: who approves, who audits, and where the spending limits live.

Agent to agent commerce with Colin Gillingham, @gillinghammer, founder of agentwonderland.com/agents We go into what he is doing to give your AI agents a wallet so they can go shopping. Or run their own business.

@kalashvasaniya @crackedhousehq @sathuashrith @star_yutish Production context is a huge missing piece. Agents can’t debug reality if they only see the repo and not what’s actually breaking.

we got first launch from our @crackedhousehq by @sathuashrith and @star_yutish comie gives ai coding agents full production context your ai can inspect logs, debug backend issues, trace errors, and understand production behavior directly inside your workflow comie.dev (no promotion)

@BetterStackHQ The hard part is not making agents write code. It’s making them predictable enough to trust inside a real PR workflow.

AI coding agents are powerful… but chaotic. Archon + Agent Skills turn them into deterministic PR machines. Parallel agents. Zero merge conflicts. Running locally on my M4 Pro.

@dotnet Agent frameworks are getting serious when debugging, tracing, graph workflows, MCP discovery, and cross-runtime messaging become first-class.

Agentic AI is growing up. Microsoft Agent Framework 1.0 brings stable APIs, A2A cross‑runtime messaging, MCP tool discovery, graph‑based workflows, and a DevUI debugger for real‑time agent tracing. #dotNET + Python parity finally lands. Read 👉 buff.ly/NbKQBmG

@neotechro The big signal here is verticalization. Generic chat is the starting point. Specialized workflow agents are where the business value starts.

Anthropic just launched the cheapest lawyer in the world. It’s called “claude-for-legal.” And here’s what it can do: • Read and review contracts • Draft legal responses • Build litigation claim tables • Track deadlines and renewals • Connect directly to your tools: Slack, DocuSign, Ironclad, Lexis+… All without ever leaving Claude. How it works: → Install it in 60 seconds → Runs on Claude Cowork, Claude Code, or your own API → Open-source and 100% free What it covers: • Commercial contracts & privacy • Litigation & regulatory work • AI governance • Legal training What used to take lawyers hours… now takes minutes. Link below 👇

@ArtificialLawya This feels like the beginning of vertical AI products becoming open workflow kits, not just closed SaaS tools.

Claude For Legal Launches, May Reshape the Legal Tech World artificiallawyer.com/2026/05/12/cla…

@scottastevenson 100%. Legal AI won’t be won by raw capability alone. Distribution, trust, review workflows, and change management matter just as much.

If you think the Claude for legal plugins are going to completely disrupt legal AI… you have not sold to lawyers

@helloparalegal The interesting part is not “AI lawyer.” It’s packaged legal workflows: playbooks, connectors, citations, review gates, and repeatable tasks.

Somewhere yesterday morning, the founders of Harvey, Spellbook, and Casetext woke up to a GitHub notification. Anthropic had just released Claude for Legal. Open source. Apache 2.0. Free. 12 practice-area plugins. 80+ named agents. 20 MCP connectors covering Lexis+, iManage, Ironclad, Everlaw, CourtListener. A vendor agreement reviewer. A DSAR responder. A claim chart builder. A privilege log reviewer. A subpoena triage agent. A deposition prep agent. Every product that just raised tens of millions of dollars to build a stripped-down version of, Anthropic just shipped end-to-end for free. The architecture is the part that should worry them most. Every plugin starts with a cold-start interview that builds a practice profile. Every agent reads from it. Generic output becomes house-style output the moment setup is done. That is the pattern I have been writing about for six weeks. Anthropic built it into the foundation. Every output is framed as a draft for attorney review. Citations from connected research tools get a source tag. Citations from model knowledge alone get flagged for verification. That is the answer to Mata v. Avianca. Built in. Now the harder truth. The repo is free. The deployment is not. 12 practice areas. 80 agents. 20 connectors. A solo cannot read all of it in a weekend. A managing partner cannot map it to her firm's workflow on a Monday morning. The IT team cannot wire it into the firm's iManage instance by Friday. What just opened up is not the build. It is the choosing - which four of the 80 agents matter for THIS practice this week. And the wiring - into this firm's existing tools, without breaking the confidentiality posture. That is the new job. Anthropic shipped the parts. If you are a solo or small-firm partner reading this - DM me. 3 free 20-min sessions this week to map your practice to the Claude for Legal modules that actually matter for your work. No pitch. Just the map.

@patrick_oshag This platform vs application question is the whole market right now. The winners will own either the model layer or the workflow surface.

Krishna on how Anthropic thinks about the platform vs. application layer, and when they decide to build their own products like Claude Code. It’s the question every investor and founder is thinking about: “Most of what we're building is platform. There's so many examples of where a platform can accrue a lot of value, but the customers who are building on that platform actually accrue even more value. We will build our own applications on that same platform where a couple of things are true. Number one, if we feel like we have a vision into where the models are going and we can demonstrate that and create customer value in that, that might be something like Claude Code. The second is thinking about ways to demonstrate value for the ecosystem that others might emulate. If you think about Claude for financial services or Claude for life sciences, these are ways in which we've composed the platform. We're building on the same platform as our customers. That creates a level playing field. We also think that there's so much value that's going to accrue in these areas that our customers can win and we can win as well. So I think of our strategy as mostly horizontal. A lot of the value is going to accrue to the customers that are building on top of it. Our goal is build the best models and then build the products and tools and services that allow that intelligence to proliferate within customers."

@TechCrunch SMBs are probably the most interesting AI market: fewer politics, more pain, and a much faster path from “cool demo” to daily workflow.

Anthropic courts a new kind of customer: small business owners techcrunch.com/2026/05/13/ant…

@AndrewCurran_ The enterprise AI race is becoming a workflow race. Adoption follows the model that saves teams time inside their real tools.

According to the new data from Ramp, Anthropic has passed OpenAI in business adoption for the first time. 'Adoption of Anthropic rose 3.8% in April to 34.4% of businesses. OpenAl adoption fell 2.9% to 32.3%. Overall Al adoption rose 0.2 percentage points to 50.6%.'

@Polymarket Makes sense. Businesses don’t just want the “smartest model.” They want workflows that actually survive inside operations.

JUST IN: Anthropic officially surpasses OpenAI in business adoption for the first time.

@awscloud @OpenAI The next phase is less about smarter demos and more about trust, permissions, context, and reliable handoffs between agents and humans.

Have you thought about the future of Agentic AI? We have too, so AWS and @OpenAI leaders recently came together to discuss where agents are working today, and what your organization needs next to lead with AI. Check out the full stream below.

@OpenAIDevs @AriX @romainhuet Background computer use is underrated. The real unlock is agents doing multi-step work across apps without stealing the user’s whole machine.

Computer use lets Codex work across your apps without taking over your Mac. @AriX talks with @romainhuet about what changes when agents can click, type, and keep working in the background.

@NotionDevs @claudeai @OpenAI @DecagonAI @cursor_ai @warpdotdev @cognition @floraai @Amplitude_HQ @console__ @getserval This is where agents become useful: not in a separate chat window, but inside the workspace where decisions, docs, and tasks already live.

Introducing the External Agents API: bring any agent into Notion, even the ones you build yourself. We’ve also partnered with @claudeai, @OpenAI Codex, @DecagonAI, @cursor_ai, @warpdotdev, @cognition, @floraai, @Amplitude_HQ, @console__, and @getserval so they work out of the box. With all your agents in Notion, their work is visible, reviewable, and actionable alongside the rest of the team, without copy-pasting context between tools. Join the External Agents waitlist → ntn.so/ext-agents