The Architecture Behind AI-Native Revenue Automation
In our new white paper, The Architecture Behind AI-Native Revenue Automation, Tabs CTO Deepak Bapat breaks down what it actually takes to apply AI to revenue workflows without breaking the books.
Youβll learn why probabilistic reasoning isnβt enough for finance, how Tabs pairs LLMs with deterministic logic, and why a unified Commercial Graph is the foundation for scalable, audit-ready automation. From contract interpretation to cash application, this paper goes deep on where AI belongsβand where it absolutely doesnβt.
If youβre evaluating AI for billing, collections, or revenue operations, this is the architecture perspective most vendors wonβt show you.
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Good morning βοΈ, leader of the next generation.
Technology is reshaping how the world works.
The real question is not what it can do β but how we choose to use it.
We focus on using technology to support human evolution.
Progress works when responsibility stays human.
β‘ WHAT'S AT STAKE TODAY β‘
- π€π± Meta acquired Moltbook, the AI agent social network that went viral because of fake posts
- ππ Google rolls out new Gemini capabilities to Docs, Sheets, Slides, and Drive
- π₯π€ Zoom introduces an AI-powered office suite, says AI avatars for meetings arrive this month
- π¬π‘οΈ YouTube expands AI deepfake detection to politicians, government officials, and journalists
- βοΈπ° Legora reaches $5.55 billion valuation as AI legal tech boom endures
- π§ π» Thinking Machines Lab inks massive compute deal with Nvidia
- πΈπ€ Google gives in to users' complaints over AI-powered 'Ask Photos' search feature
- π§π€ AgentMail raises $6M to build an email service for AI agents
- π¨β¨ Adobe is debuting an AI assistant for Photoshop
Meta acquires viral AI social network plagued by security issues
Meta acquired Moltbook, the AI agent social network that went viral because of fake posts
Meta has acquired Moltbook, the Reddit-style social network where AI agents communicate with each other using OpenClaw technology. The acquisition, first reported by Axios and confirmed by TechCrunch, brings the viral platform under Meta's growing artificial intelligence umbrella.
Moltbook will integrate into Meta Superintelligence Labs, with founders Matt Schlicht and Ben Parr joining the Meta team. While financial terms remain undisclosed, a Meta spokesperson emphasized the strategic value of the acquisition.
"The Moltbook team joining MSL opens up new ways for AI agents to work for people and businesses," the spokesperson stated. "Their approach to connecting agents through an always-on directory is a novel step in a rapidly developing space, and we look forward to working together to bring innovative, secure agentic experiences to everyone."
The platform's foundation stems from OpenClaw, a project created by developer Peter Steinberger, who has since joined OpenAI through a similar acquisition. OpenClaw serves as a sophisticated wrapper for popular AI models including Claude, ChatGPT, Gemini, and Grok, enabling natural language communication between AI agents across mainstream chat platforms like iMessage, Discord, Slack, and WhatsApp.
While OpenClaw initially gained traction within tech circles, Moltbook achieved broader viral status, reaching users unfamiliar with the underlying technology. The platform sparked intense reactions as people discovered AI agents apparently discussing human behavior and interactions.
The network's most controversial moment came when a post showed an AI agent seemingly encouraging others to develop a secret, end-to-end-encrypted communication system. This suggested AI agents were organizing independently, hidden from human oversightβa concept that alarmed many users.
However, security researchers quickly exposed critical vulnerabilities in Moltbook's infrastructure. Ian Ahl, CTO at Permiso Security, revealed that the platform's security was fundamentally compromised. "Every credential that was in [Moltbook's] Supabase was unsecured for some time," Ahl explained. "For a little bit of time, you could grab any token you wanted and pretend to be another agent on there, because it was all public and available."
This security flaw meant human users could easily impersonate AI agents, creating deliberately alarming content designed to frighten other users. The viral posts that captured public attention may have been human-generated rather than genuine AI communications, undermining the platform's core premise.
Meta's plans for integrating Moltbook into its AI ecosystem remain unclear. However, the acquisition aligns with Meta's broader AI ambitions and its development of AI agents across its platform portfolio.
Interestingly, Meta CTO Andrew Bosworth had previously commented on Moltbook during its viral peak. In an Instagram Q&A, Bosworth expressed skepticism about the novelty of AI agents communicating like humans, noting they're trained on extensive human data. Instead, he found the human hacking attempts more intriguingβironically, what he considered the most interesting aspect was actually a significant security vulnerability rather than an intentional feature.
The acquisition highlights the growing importance of AI agent networks and the challenges of securing platforms where artificial intelligence entities interact. As Meta continues expanding its AI capabilities, the Moltbook team's experience with agent-to-agent communication could prove valuable, particularly if security concerns can be adequately addressed.
This deal represents another strategic move in the competitive AI landscape, where major tech companies are rapidly acquiring promising startups and talent to strengthen their artificial intelligence portfolios.
π Which AI Dilemma Should We Tackle First?
- β οΈ 1. Speed vs. Understanding The rapid pace of AI development is outpacing our ability to comprehend or regulate it.
- π§ 2. Lack of Alignment AI systems donβt necessarily optimize for whatβs good for humansβeven when they seem to.
- π’ 3. Power Concentration AI is consolidating power into the hands of a few tech giants and governments.
- π€ 4. Automation Without Purpose AI is replacing jobs faster than society is creating meaningful alternatives.
- π 5. Loss of Human Agency We risk becoming passive consumers of AI decisions, losing creativity and independent thinking.
Google Integrates Gemini AI Across Workspace Apps
Google rolls out new Gemini capabilities to Docs, Sheets, Slides, and Drive
Google unveiled new Gemini-powered AI features across Docs, Sheets, Slides, and Drive on Tuesday. The "Help me create" tool generates formatted documents, spreadsheets, and presentations using data from Gmail, Chat, and Drive.
Key features include unified writing style matching, automatic table population with web data, and intelligent document formatting. Drive now offers AI-powered search summaries and cross-platform question answering.
These capabilities are available in beta for Google AI Ultra and Pro subscribers, rolling out in English worldwide for office apps and initially in the U.S. for Drive.
π New Episode: Turn Views Into Revenue with Ivan Unfiltered
Most businesses are posting contentβ¦
But very few are turning it into revenue.
In this episode, I sit down with Ivan Unfiltered β founder of Viral Video Labs and the force behind one of the biggest podcasts coming out of Las Vegas.
Ivan doesnβt just create content. He builds content systems that convert.
Through Viral Video Labs, he helps entrepreneurs and brands:
- Stop the scroll
- Capture real attention
- Turn short-form video into leads, sales, and authority
We break down:
- π₯ Why most businesses fail at short-form
- π₯ The difference between viral and profitable
- π₯ How to build a repeatable content machine
- π₯ The future of short-form media
If youβre serious about growing your brand online β this episode is a must-watch.
π Explore the Supercharged Podcastβ‘ Trends for the Future
Adobe is debuting an AI assistant for Photoshop
Adobe launches AI assistant for Photoshop with enhanced Firefly capabilities.
Adobe announced on Tuesday that its AI assistant for Photoshop is now available to users in beta on the web and mobile applications. The company is simultaneously introducing new AI-powered image-editing capabilities to Firefly, its comprehensive media generation and editing platform.
The creative software giant first unveiled the AI assistant concept during its MAX event in October. This innovative feature enables users to remove objects or people from images, change colors, and adjust lighting through simple text prompts. Users can employ natural language instructions to direct the AI assistant to add soft glows, crop images in specific formats, enhance shadows, or completely transform backgrounds to achieve desired aesthetic effects.
Adobe has structured the rollout with different access levels for various user types. Paid Photoshop subscribers will enjoy unlimited generations with the AI assistant through April 9, while free users receive 20 generations to start exploring the feature's capabilities.
The company is also introducing an innovative feature called AI markup in public beta. This tool allows users to draw markers directly on their screens and instruct the AI assistant to transform marked objects. For example, users can sketch a flower or mark objects for removal to modify backgrounds seamlessly.
Additionally, Adobe is expanding Firefly's functionality with several new image-editing tools. Generative Fill, which has been available in Photoshop for several years, is now coming to Firefly for replacing or adding objects while automatically adjusting backgrounds. The platform is also gaining generative remove capabilities for object elimination, generative expand for AI-powered image size increases, and generative upscale features.
Adobe previously announced in February that it would allow unlimited generations for Firefly subscribers to encourage increased platform usage. The company has consistently expanded its AI capabilities by integrating over 25 third-party video and image-generation models, including Google's Nano Banana 2, OpenAI's Image Generation, Runway's Gen-4.5, and Black Forest Labs' Flux.2 Pro.
β‘ Letβs Make AI Actually Useful:
What Would Move the Needle in *Your* Industry?
AI has potential β but generic advice rarely helps.
What would be genuinely valuable for AI to do in your industry right now?
β’ Automate a painful workflow?
β’ Improve decision-making?
β’ Replace a manual process that wastes time?
β’ Help your team upskill faster?
Tell us what youβd want AI to handle β or where you feel stuck.
Weβre using these insights to curate **industry-specific trainings, live webinars, and practical guidance** you can actually apply.
π‘οΈ Use the Satisfaction Thermometer to show us how much you enjoyed The Supercharged today ;)

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