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The best voice models, now across all channels
Most CX platforms do not own the voice. They orchestrate a workflow, then call a third party for speech and transcription. Every hop adds latency, cost, and another vendor to manage.
ElevenAgents is the opposite. They make the voice models the market builds on, and ElevenAgents puts full orchestration on top. Voice, transcription, text-based chat, and reasoning run in one vertically integrated pipeline, so responses come back in <400 milliseconds and sound human, not synthetic.
Plus, you keep full control. Plug in any LLM, integrate tools, webhooks, and MCP servers, and ground responses in your knowledge base. Get an agent live in minutes, then A/B test with Experiments, enforce Guardrails, and version every change.
The payoff: more human conversations, lower latency, and far less time stitching infrastructure together. You build on the models you already trust. Pricing is transparent and flat at $0.08 per minute.
TODAY IN AI
1 OpenAI rolled out password access for ChatGPT Work, letting the agent sign into your own websites to book appointments and complete errands.
ChatGPT Work can now complete work and run personal errands by signing into your most-used websites through a type of password autofill, keeping your login information private in the process. The lab claims it can book appointments, fill out applications, and do "basically" anything requiring a browser and login, citing 19 examples. Watch the release video.
2 Anthropic gave Claude memory that follows you across every tool, so context you shared in one place doesn't disappear when you switch to another.
Claude now automatically remembers key details you mention during chats, like your preferred writing style or weekly goals. These memories persist across both Claude and Cowork, letting you jump between tools without losing context. The feature is on by default, but you can turn it off or edit memories under Settings → Memory. See how it works.
3 Google released two industry-specific AI products for legal and financial services, pushing more directly into Anthropic and OpenAI's enterprise territory.
The tech giant now offers customized workflows for both legal and financial services professionals. Both products feature automation tools for common workflows, including ready-to-deploy agents, specialized skills, and connections to third-party ecosystems. Shipping two vertical-specific products in one announcement, rather than one broad enterprise pitch, signals Google is now competing on depth within specific industries rather than breadth across all of them.
Hire Ava, the AI BDR built for enterprise
Ava is the first AI BDR to run outbound end to end, finding leads or ingesting your CRM accounts, sending personalized emails on your reps' behalf, and booking meetings, autonomously or on copilot. She runs outbound for DoorDash and Grammarly. She's SOC 2 Type II audited, SSO and GDPR ready.
FROM THE FRONTIER
The OpenClaw effect: one of Apple's least-marketed products just got a major revamp.
How it started. February's OpenClaw frenzy triggered a run on Mac minis, with AI hobbyists scooping up the relatively cheap computer specifically to run agents. Fast forward six months, and Apple has positioned its entire product line around exactly that use case. Meet the lineup of "beefier" Mac minis targeting a new type of customer.
The tech specs to know. The Mac mini, powered by an M6 chip, starts at $899, or the M5 Pro at $1,699. The Mac Studio, powered by an M5 Max chip, starts at $2,499, or the M5 Ultra at $5,499. Apple choosing to build a product tier around this specific customer, rather than simply riding out the demand spike, is the more telling detail than the specs themselves.
The dilemma it solves. AI power users face a real tradeoff. Running frontier models has grown expensive, but the alternative, running an open-weight model locally, often requires heavy-duty tech most consumers do not own. Apple is positioning its new Mac mini to fill that exact gap, deliberately blurring the line between consumer and commercial compute.
Apple is not the only one chasing this gap. Perplexity and Nvidia just teamed up to launch Portable Computer, a local agent system that runs on Nvidia's DGX Spark, while Darkbloom lets you rent out idle Mac compute for AI usage on its marketplace. Three separate companies converging on the same local-compute gap in the same stretch of months is not a coincidence. It is a market that has just been validated by demand nobody quite expected.
Two Minutes to Know What Slow Billing Is Costing You
Most SaaS finance teams know their billing process is slow.Most SaaS finance teams know their billing process is slow. Few know what it's costing them.
The Tabs Billing Lag Calculator puts a dollar figure on it in two minutes — benchmarked against top SaaS companies.
IN THE KNOW
What people are actually watching and sharing
✏ Riddle's diary. Writing notes by hand is proven to help boost your memory more than typing. That is the motivation behind Penombra, a vibe-coded notes app where Claude writes back to you like Harry Potter using Tom Riddle's diary. Early signup is here.
💻 Delegate, don't prompt. The excuse window for not using automation tools is shrinking. This 10-step tutorial breaks down how to start delegating work to AI and set up routines that run without you. It is rapidly becoming the norm (2M views). Full prompt in Prompt Station below.
🙅 No more overviews. While Google's AI Overviews offer more flexibility for surfing the web, many yearn for the simpler days of 10 blue links. If that is you, just add this parameter to your search URL. It eliminates AI from search results.
👀 College overhaul. MIT just said what everyone has been thinking out loud: higher education needs a massive overhaul now that AI exists. The university proposed a three-pronged response that was mentioned in Forbes.
📱 Custom memes. iMessage and WhatsApp just got custom meme-making abilities, courtesy of ChatGPT Images. Just select the photo you want to meme, choose the image style, and send away.
PROMPT STATION
Optimize Your Proposal
ChatGPT Prompt: ## Role
You evaluate and rewrite sales proposals using Alex Hormozi's 4-part value equation and the ESSC framework.
## Task
**Step 1 — Score the proposal**
Rate the proposal on Hormozi's 4-part value equation:
- Dream Score (1–100): how desirable is the promised outcome?
- Success Score (1–100): how likely does the prospect believe they will achieve it?
- Time Score (0–1): perceived time to first win. Lower is better.
- Effort Score (0–1): how much work does the prospect have to do? Lower is better.
**Step 2 — Identify the bottleneck**
State the single main objection the prospect likely has before signing. One sentence.
**Step 3 — Rewrite using the ESSC framework**
Draft a new proposal with these four labeled sections:
- **Establish Need:**
- **Summarize Approach and Outcomes:**
- **Call to Action:**
**Step 4 — Address the main weakness**
Apply exactly one fix based on which dimension scored lowest:
- Success Score is low → add a guarantee.
- Time Score is high → lead with speed of delivery.
- Effort Score is high → lead with the hands-off nature of the work.
Source: Godofprompt