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SEC Staff Clarifies How Securities Laws Apply to Tokenized Assets

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The new guidance focuses on the structure of tokenized securities.

Staff at the U.S. Securities and Exchange Commission (SEC) on Wednesday, Jan. 28, issued new guidance explaining how existing securities laws apply to tokenized securities.

The statement – issued jointly by the Division of Corporation Finance, the Division of Investment Management, and the Division of Trading and Markets – points out that securities issued or represented on blockchains remain subject to the same rules as traditional securities.

Notably, the statement functions as guidance and does not create new rules or change existing law. Instead, it aims to clarify how current securities laws apply as more institutions begin experimenting with tokenized products.

The statement emphasizes that “it is not a rule, regulation, guidance, or statement” of the SEC, and the “Commission has neither approved nor disapproved its content.”

According to the statement, tokenized securities generally fall into two categories: issuer-sponsored and third-party sponsored.

In issuer-sponsored models, a company issues its own securities in tokenized form. The main difference from traditional securities is that ownership records are kept onchain. When the token is transferred, ownership of the underlying security transfers as well.

In third-party models, an unaffiliated firm tokenizes securities it did not issue. The asset “may or may not represent an ownership interest in or contractual obligation of the issuer of the underlying security,” the statement explains. As a result, owning the token does not always mean you have the same rights as owning the actual security.

The statement also notes that holders of these crypto assets may face additional third-party risks, such as bankruptcy, that would not necessarily apply to holders of the underlying security.

Ashley Ebersole, chief legal officer at Sologenic, told The Defiant that later guidance could look into self-custody and decentralized finance (DeFi) if the SEC wishes.

“However, I’d expect that if additional guidance like this were forthcoming, it would still fit allowance for self-custody or otherwise into the existing securities law mandates (at least until congressional legislation changes what the securities laws require in this context),” he added.

Ebersole added that the guidance does not preclude tokenized or synthetic securities from being offered to U.S. investors.

“The guidance makes clear that tokenized securities and tokenized security-based swaps are subject to the securities laws’ existing registration and disclosure obligations,” he added. “So any product could legally be offered to the U.S. market, so long as it fulfills those obligations.”

The Smart Way to Review Your California Auto Coverage for 2026

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Preparing for the year ahead involves more than just setting personal goals; it also means ensuring your financial protections are up to date. For California drivers, this is especially true as the auto insurance landscape continues to shift. With rising premiums and a changing risk environment, a thorough review of your auto policy helps ensure you’re not caught off guard. Taking the time now to understand your coverage can save you from significant financial strain later.

This guide will walk you through seven key areas of your California car insurance policy to review, ensuring you have the right protection for your needs as we kick off 2026.

1. Check Your Liability Limits

Liability coverage is a foundational component of any auto policy. It pays for injuries and property damage you cause to others in an at-fault accident. California updated its mandatory minimum liability limits effective January 1, 2025. These requirements remain in effect for 2026 and will continue through 2034. The current minimums are:

  • $30,000 for bodily injury or death per person
  • $60,000 for bodily injury or death per accident
  • $15,000 for property damage per accident

These limits apply to all private passenger auto insurance policies issued in California under the law established by Senate Bill 1107.

While these updated minimums offer better protection than before, they may still be insufficient to cover all costs in a serious accident. Today’s vehicles are expensive to repair, and medical expenses can quickly exceed these state-mandated floors. If you are found liable for damages beyond your coverage limits, your personal assets could be at risk. It is wise to consider higher limits that adequately protect your savings and property.

2. Review Uninsured/Underinsured Motorist Coverage

Despite legal requirements, a significant number of drivers in California remain uninsured. What does this mean for you? It makes Uninsured/Underinsured Motorist (UM/UIM) coverage an essential safeguard.

UM/UIM steps in to cover your medical bills and, depending on your policy, vehicle damages if you are hit by a driver who has no insurance or insufficient coverage to pay for your losses. Without this protection, you could be left to pay for your own recovery and repairs out of pocket. 

Given the high costs associated with accidents, reviewing your UM/UIM limits is a critical part of a comprehensive policy assessment. Ensure your limits are high enough to protect you and your passengers from financial hardship caused by another driver’s lack of responsibility.

3. Confirm Comprehensive and Collision Needs…and Your Deductible

Review your comprehensive and collision coverages. These two types of coverage are distinct but work together to provide broad protection for your own vehicle.

  • Collision coverage: Pays for repairs to your vehicle after an accident with another car or an object, regardless of fault.
  • Comprehensive coverage: Handles damage from non-collision events, such as theft, vandalism, fire, falling objects, and storm damage. For California residents, it is particularly vital for risks like wildfires.

As you review these coverages, also confirm:

  • That the coverage still aligns with your vehicle’s current value
  • Any exclusions that may limit a future claim
  • Whether add-ons like glass coverage, rental reimbursement, or gap insurance are still relevant for you

Finally, take a close look at your deductible—the amount you pay out of pocket before your insurance applies. Higher deductibles can lower your premium, but make sure the amount fits comfortably within your budget if you need to file a claim.

4. Update Policy for New Driving Habits

Your life isn’t static, and your insurance policy shouldn’t be either. Major life changes often alter your driving habits, which can impact your coverage needs and costs. Consider whether any of these situations apply to you:

  • Have you started working remotely and are driving less?
  • Did you move, resulting in a longer or shorter commute?
  • Has a new teen driver joined your household?
  • Do you use your vehicle for a side business, like food delivery?

Report any of the above changes to your insurer. A significant reduction in mileage could lead to lower premiums, while adding a new driver or using the vehicle for business purposes may require policy adjustments to ensure you’re properly insured. An accurate policy prevents you from being underinsured in a claim or overpaying for coverage you no longer need.

5. Look for Discounts or Bundles

Who doesn’t love to save money? Insurance carriers offer numerous discounts that can help make your coverage more affordable. Review your policy to check if you’re taking advantage of all available savings. Common discounts include:

  • Good driver discounts for maintaining a clean record.
  • Multi-policy discounts for bundling auto and home or renters insurance with the same company.
  • Telematics programs that reward safe driving habits monitored through a mobile app or device.
  • Good student discounts for young drivers who earn high grades.
  • Electric Vehicle (EV) discounts for owning an environmentally friendly car.

Insurers frequently update their discount programs. It is worth asking your agent or carrier about new opportunities to save, especially as programs are adjusted for 2026.

6. Evaluate Replacement Cost vs. Actual Cash Value

Understanding how your insurer would pay for your car after a total loss is vital, especially if you have a newer or high-value vehicle. Most standard policies provide Actual Cash Value (ACV), which pays the market value of your vehicle at the time of the loss, factoring in depreciation.

For newer cars, ACV might not be enough to pay off your loan or lease, let alone buy a similar new vehicle. To address this, consider these options:

  • New car replacement coverage: If your car is totaled within a specific timeframe (e.g., the first two years), this coverage pays for a brand-new vehicle of the same make and model.
  • GAP (Guaranteed Asset Protection) coverage: If you have a loan or lease, GAP insurance covers the difference between the ACV of your vehicle and the amount you still owe.

7. Compare Quotes Before Renewal

The California insurance market is dynamic. With regulators approving more rate filings, prices among carriers will continue to shift through 2026. Under Proposition 103, insurers must receive state approval before adjusting rates, but each company files its own rates and receives approval on a different timeline. Because insurers have different costs, models, and rating factors within the regulated framework, pricing can still vary widely from one carrier to another.

It is always a good practice to compare quotes from several different California auto insurance companies before your policy renews. An independent agent can help you shop the market, or you can use online tools to gather multiple quotes. A quick comparison can reveal opportunities for better coverage, service, or pricing, ensuring you get the best possible value for your premium. 

Drive with Peace of Mind in 2026

Taking the time to review and adjust your auto insurance policy helps ensure you’re prepared for whatever the road ahead may bring. By staying informed and proactive, you can protect your finances, your vehicle, and your peace of mind. Don’t wait—start your policy review today and drive into 2026 with confidence and security.

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SEC Chair Paul Atkins Set To Speak At The Bitcoin Conference

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In somewhat of a pivotal moment for Bitcoin and U.S. crypto policy, Securities and Exchange Commission (SEC) Chairman Paul Atkins is set to speak at the Bitcoin 2026 Conference.

This will mark the first time a sitting SEC Chair has been invited to the flagship event, underscoring how digital assets have regained prominence in the national regulatory conversation.

The event is the world’s largest Bitcoin conference and it will take place April 27–29, 2026, at The Venetian in Las Vegas. The annual conference expects tens of thousands of attendees and hundreds of speakers, including builders, policymakers and innovators from across the Bitcoin ecosystem. 

Atkins’s invitation comes during a dramatic shift in U.S. crypto policy leadership. Since being appointed SEC Chair in 2025, he has signaled a departure from a decade of ambiguity and enforcement-driven oversight that many in the industry say stifled innovation.

Atkins has repeatedly emphasized that clear, workable regulations are crucial to nurture digital asset markets. 

He has publicly stated that most crypto tokens do not qualify as securities under existing law and that regulatory clarity, not litigation, should define the future landscape for digital assets — a sharp contrast with the previous era of “regulation by enforcement.”

Earlier today, the U.S. Senate Agriculture Committee advanced its version of crypto market legislation in a 12-11 vote. The legislation aims to finally settle long-standing questions about how digital assets should be regulated in the U.S. by giving the CFTC exclusive jurisdiction over spot markets for “digital commodities,” while leaving securities-related digital assets under Atkin’s Securities and Exchange Commission.

Atkins is involved with Bitcoin adoption and policy

Under Atkins’s leadership, the SEC has launched “Project Crypto,” an initiative aimed at modernizing securities laws to better fit blockchain-native assets and market structures. The effort includes clearer token classifications, tailored rules for issuance and custody, and other changes designed to bring regulatory certainty to Bitcoin and other digital assets.

In remarks at a crypto roundtable last year, Atkins also highlighted the importance of preserving self-custody — describing the ability to control one’s own private keys as a “foundational American value” even as digital finance evolves.

Atkins’s presence on stage is likely to draw interest from both the Bitcoin community and regulators watching from Washington. 

For many attendees, it will be a rare opportunity to hear directly from the SEC about how digital assets, particularly Bitcoin, fit into U.S. financial markets and long-term policy goals.

Strategy’s Chairman, Michael Saylor, will also be speaking at The Bitcoin Conference. 

Gold, silver, copper profit-taking triggers $120 million unwind in tokenized metals

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The crypto market’s tight links with traditional markets laid bare Friday as a sharp slide in metal prices shook out millions in leveraged bets on blockchain versions of gold, silver, and copper.

Three-month copper futures on the London Metal Exchange (LME) fell nearly 4% from Thursday’s peak above $14,500 a ton, settling closer to $13,000 amid technical disruptions at the LME, and a sharp shift in positioning by Chinese traders. The move marked a pause after a relentless run driven by Chinese demand, energy transition optimism and a weaker U.S. dollar.

Gold and silver prices fell by 4% and 5.9%, respectively.

That retrenchment showed up quickly in crypto markets. Tokenized metals products tied to copper, gold and silver saw an usually-high spike in losses as their spot prices cooled.

Across exchanges, derivatives and spot-style products linked to metals logged roughly $120 million in combined liquidations over the past 24 hours. Silver-linked contracts led the pack at $32 million in losses, followed by gold- and copper-linked futures. Prices for tokenized bullion products like XAU and XAUT dropped over 7%.

These liquidations reflect how crypto venues are increasingly being used as complementary rails for macro trades.

When metals were ripping higher earlier this week, traders leaned into crypto-native contracts for speed, leverage and round-the-clock access. As prices rolled over, those same markets became a release valve for risk.

Dollar strength hurts

The broader pullback in metals came as the U.S. dollar strengthened on speculation that the Trump administration may be preparing to nominate Kevin Warsh as the next Federal Reserve chair.

A firmer dollar tends to pressure commodities priced in greenbacks, and Friday’s move hit metals across the board. Gold fell sharply from record highs, while silver, crude oil and iron ore also moved lower.

Even with the setback, however, metals remain one of the strongest themes of the year so far. Copper is still headed for a strong weekly gain, having recently rallied on supply constraints and electrification demand, while gold continues to attract flows as investors hedge political and fiscal uncertainty.

Crypto markets are increasingly along for that ride – not as a separate trade, but as a parallel venue where global macro bets now play out in real time.

Binance to convert $1B SAFU fund into Bitcoin reserves

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Binance, the world’s largest crypto exchange by trading volume, announced today it will convert its $1 billion Secure Asset Fund for Users (SAFU) from stablecoin reserves into Bitcoin within 30 days.

The exchange said the move reflects its belief that “BTC serves as the core asset in the crypto ecosystem and represents long-term value.”

Binance will monitor the fund’s market value and rebalance if it falls below $800 million due to Bitcoin price fluctuations, restoring it to $1 billion.

The SAFU was established in July 2018 as a financial safety net funded by Binance’s spot trading fees to protect users from platform vulnerabilities.

In 2025, Binance reported recovering $48 million across 38,648 cases of incorrect deposits, bringing cumulative recoveries to over $1 billion. The exchange said it helped 5.4 million users identify potential risks, preventing approximately $6.7 billion in scam-related losses.

Binance also collaborated with global law enforcement, leading to the confiscation of $131 million in illicit funds.

By the end of 2025, Binance’s proof-of-reserves showed user assets of approximately $163 billion fully backed across 45 crypto assets.

Story Protocol and OpenLedger Launch New Standard for Legal AI Training

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The new standard enables AI systems to use creative work legally and to automatically pay rights holders.

Story Protocol, an onchain platform focused on intellectual property (IP), and OpenLedger on Thursday, Jan. 29, announced a new standard meant to let artificial intelligence (AI) systems use creative work legally and pay the people who own it.

Under the partnership, IP registered on Story Protocol can be licensed for AI training and AI-generated outputs. Meanwhile, OpenLedger – an AI-native blockchain – will enforce those licenses inside AI systems and send payments to rights holders.

The companies are also building a shared onchain standard that records who owns the work, how it can be used, and who gets paid, according to a press release viewed by The Defiant.

Growing Use & Growing Lawsuits

The announcement comes as lawsuits tied to AI continue to rise, with many AI-related court cases in 2025 centering around IP. That’s because once creative work is used by AI systems, it becomes difficult to track how the work is used or ensure creators are paid, leaving many rights holders with little recourse.

These issues are growing as the global IP market itself expands. The market, which includes digital rights and real-world data, is estimated to be worth more than $80 trillion, according to the World Intellectual Property Organization’s 2025 Global Innovation Index.

“AI cannot scale on scraped data and legal ambiguity,” said a team representative at OpenLedger. “If intelligence is becoming economic infrastructure, then intellectual property must be respected, traceable, and monetized by default. This partnership brings enforceable rights directly into the AI execution layer.”

The companies also noted that their system is designed to ensure AI models only use material they are licensed to access, with usage that can be checked after the fact. “It represents a shift from ‘train now, litigate later’ to ‘use only what you can prove you’re allowed to use’,” the release reads.

Story Protocol’s native token IP was down roughly 9% over the past 24 hours, but still posted gains over the past month, according to CoinGecko. OpenLedger’s native token OPEN is also down around 7% on the day.

Binance to shift $1 billion user protection fund into bitcoin amid market rout

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Top cryptocurrency exchange Binance announced said Friday that it shall switch the stablecoin in its $1 billion emergency user protection fund to bitcoin over the next 30 days.

The move targets the Secure asset Fund for Users (SAFU), which is a security fund created to protect users from losses due to unforeseen events such as hacks. The exchange plans to gradually convert the stablecoin holdings within 30 days, committing to regular audits.

It added that if bitcoin’s price swings drop the fund’s value below $800 million, the exchange will top it back up to $1 billion.

“This initiative is part of Binance’s long-term industry-building efforts, and we will continue to advance related work, gradually sharing more progress with the community,” the translated version of the exchange’s post on X, said.

As of 2025, the exchange’s proof-of-reserves report showed users holding roughly $163 billion in crypto tokens on the platform.

Stablecoins are digital tokens with values pegged to an external reference such as the U.S. dollar. Bitcoin is the world’s leading cryptocurrency with a market value of over $1.6 trillion.

How to Create High-Quality Presentations Directly Inside ChatGPT, Claude, and Cursor

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AI agents are great at research. They struggle with presentations. Here’s how to get professional slides without leaving your AI.

AI agents have become essential for knowledge work. ChatGPT, Claude, Gemini, Cursor, Manus connect to your Google Drive, OneDrive, SharePoint, and Dropbox. They pull context from meeting notes, analytics dashboards, and CRMs. They’re excellent for research, analysis, and synthesizing information.

But there’s a gap: the last mile.

You’ve done the research. You’ve refined your story. Now you need to turn it into a presentation you can send to a client, investor, or executive. And that’s where things break down.

These AI agents are optimized for search and conversation. They’re not built to create professional presentations.

The 3 Problems With AI Agent Presentations

1. No Brand Identity

Brand consistency is genuinely difficult for AI systems to maintain. These tools don’t have access to your brand guidelines, and even if they did, they aren’t designed to apply them consistently across slides.

The result: every presentation uses default colors, generic fonts, and a visual style that doesn’t represent your company. You can’t send these to clients or investors. The slides look either like generic web pages or like the AI picked random design elements. There’s no cohesion, no visual identity, and no way to lock in your brand standards.

To fix this, you either spend hours manually applying your brand, or you hire a designer. The AI saved you no time.

2. Only Basic Layouts

AI agents produce the same handful of simple layouts: bullet points, bullet points with an image, and basic title slides. That’s essentially the entire repertoire.

 

A typical slide generated by an AI agent: basic numbered list, minimal visual hierarchy, generic styling.

Professional presentations require more sophisticated visual elements. Timelines that show a process flow. Comparison diagrams that put two concepts side by side. Feature matrices with icons and supporting text. Funnel visualizations. User journey maps. These layouts communicate complex ideas clearly and look polished.

General-purpose AI agents simply cannot generate these. They don’t understand presentation design patterns or how to visually structure information. The slides end up either too dense (walls of text) or too sparse (one sentence on an empty slide). Neither effectively communicates your point.

3. No Path to Edit or Iterate

This is the critical issue. After an AI agent generates slides, you have almost no way to refine them.

AI agents give you one of two outputs:

One-shot PPTX generation. You get a .pptx file where the AI did maybe 30% of the work. Now you’re back in PowerPoint, manually editing shapes, text boxes, and formatting. The AI cannot help you iterate. It generated a file; the conversation is over.

Code or a collection of un-editable images. Some tools create presentations as code or render slides as images. The only way to iterate is by prompting in chat, which regenerates the entire deck. There’s no way to make manual tweaks at all. You can’t just rewrite a headline or adjust one element. The deck cannot evolve as your content evolves.

In both cases, the pattern is the same: AI generates something basic, then you’re on your own. Either you have a static file that requires hours of manual editing, or you have an output that cannot be iterated on at all.

Why Iteration Is So Painful

Even when the initial output is decent, improving it is frustrating:

  1. Manual pixel-pushing.Once you’re in PowerPoint or Google Slides, you’re adjusting shapes by hand. Change a headline and the text box overflows. Add a sentence and the layout breaks. There’s no responsive canvas that adapts to content changes. You spend hours nudging elements into alignment.
  2. Hunting for templates.Need a timeline? A process diagram? A comparison layout? You have to leave your presentation, search online for templates, download them, and manually adapt them to your content. The AI that generated your slides can’t help with this.
  3. All-or-nothing editing modes.Some AI tools only let you edit via chat prompts. Want to simply rewrite a headline? You have to describe the change in words and hope the AI understands. Want to bold a single word or adjust emphasis? That’s a multi-turn conversation instead of a single click. There’s no direct manipulation. Other tools give you only manual control with no AI assistance. Neither approach works well for real iteration.

This is why professionals still spend 8+ hours on a single presentation. The AI generates a starting point, but the refinement process is entirely manual.

The Typical Workflow Today

Here’s what most people do:

  1. Research in Claude or ChatGPT, connected to Google Drive, meeting notes, and analytics
  2. Refine the narrative and outline
  3. Ask the AI to create slides, get something unusable
  4. Give up on AI slides, open Google Slides or PowerPoint
  5. Manually recreate everything from scratch
  6. Spend hours formatting, aligning, searching for templates

All the context built up in the AI agent is lost. The connections to data sources become useless. You’re starting over in a blank slide editor, doing the same manual work as before AI existed.

AI Presentation Makers: Specialized Tools for the Last Mile

AI presentation makers are purpose-built for creating professional presentations. Unlike general-purpose chatbots, they’re trained on presentation design patterns and optimized for this specific task.

What makes them different:

Brand themes. Define your colors, fonts, and visual style once. Every slide automatically follows your brand guidelines.

Intelligent layout generation. Based on your content, the AI selects the best layout to express your idea. It can generate timelines, comparison diagrams, feature matrices, funnels, and other complex visual elements because it understands these presentation patterns.

Responsive canvas. Edit content and the layout adapts automatically. Add text, remove bullets, change headings, and the spacing and alignment adjust without manual intervention.

Multiple options. Instead of one output, you get several layout variations to choose from. The AI understands your instructions and gives you relevant suggestions rather than forcing regeneration.

With a specialized AI presentation maker, your first draft is substantially complete. And you can actually iterate from there.

The limitation until now: you had to leave your AI agent to use these tools. Copy your research, switch applications, lose your context. That friction prevented most people from bothering.

MCP: Connecting Specialized Tools to Your AI Agent

MCP (Model Context Protocol) solves this problem.

MCP lets specialized tools plug directly into your AI agent. Claude, Cursor, ChatGPT, Manus can all connect to external services through MCP. You use the best tool for each part of your workflow without switching applications.

Your AI agent handles research and narrative refinement. A specialized AI presentation maker handles the actual deck creation. Context flows between them. No copy-pasting. No app switching.

Alai: Professional Presentations Without Leaving Your AI Agent

Alai is an AI presentation maker designed for quality and iteration. With Alai’s MCP server, you create high-quality, on-brand presentations directly inside Claude, Cursor, or any MCP-compatible agent.

Here’s what Alai provides:

Multiple Layout Options Per Slide

For every slide, Alai generates 4 distinct professional layouts. You see the options and pick the one that best fits your vision. No regeneration lottery.

Brand Consistency Built In

Set up your brand theme once: colors, fonts, visual style. Every presentation you create automatically follows these guidelines. Consistent brand identity across all your decks without manual effort.

Complex Layouts From Content

Alai is trained on presentation design patterns. Based on your content, it generates the appropriate visual structure: timelines, comparison diagrams, feature matrices with icons, process flows, funnel visualizations. It understands how to express different types of information visually because it’s built specifically for presentations.

This isn’t template selection. The AI analyzes your content and creates the right layout to communicate your point effectively.

Here’s what an AI presentation maker like Alai can create:

 

Timeline with icons: Visualizing a process flow with branded colors and clear visual hierarchy.

 

Comparison diagram: Two-column layout with icons that clearly contrasts different positions.

 

Feature matrix: Three-column layout with icons and supporting text that organizes complex information.

Compare these to the basic AI agent slide above. The difference is immediate: sophisticated visual structure, proper information hierarchy, consistent branding, and layouts that actually communicate ideas effectively.

Responsive Canvas

Edit your content and the layout adapts. Add a sentence, and spacing adjusts. Remove a bullet, and elements reflow. No manual alignment work.

Edit Via AI, Manually, or Both

This is Alai’s key differentiator. Most tools lock you into one editing mode. Alai gives you three, and they work together:

From your AI agent via MCP: Stay in Claude or Cursor and give instructions. “Add a next steps slide based on the meeting notes.” “Move the image from slide 2 to slide 7.” “Make the pricing section more visual.” Alai executes within your AI conversation.

Inside Alai via Agent Mode: Open Alai and use its built-in chat. “Show me different layout options for this slide.” “Add a tag-style heading on slides 4, 5, and 6 for Problem, Solution, Market.” The AI shows you options to choose from.

Direct manual editing: Click any element and edit it. Rewrite a headline. Bold a word. Adjust emphasis. Move elements. No prompting required.

Combined workflow: Use AI to generate options, select the one you like, then manually fine-tune specific details. This matches how professionals actually work: big changes via AI assistance, small adjustments by hand.

Examples of what this enables:

  • “Make this layout more interesting, show me different options” → Review several variations, pick one, then manually highlight key points
  • “Add a tag-style heading on slides 4, 5, and 6 for Problem, Solution, Market” → Batch changes across multiple slides in one command
  • “Move the image from slide 2 to slide 7 and add Pepsi’s logo to the Our Customers slide” → Complex multi-element edits
  • “Add a next steps slide based on the meeting notes” → Pull context from connected tools and generate new content

This flexibility is unique. You’re not stuck with chat-only editing that makes simple changes tedious. You’re not limited to manual-only control that ignores AI capabilities. You have both, integrated.

Clean Exports

Export to PowerPoint, PDF, or shareable link. Design quality is preserved in PPTX exports. Files work correctly in enterprise workflows.

Example Workflow: Personalized Sales Proposal After a Client Call

Here’s a concrete scenario:

You finished a discovery call with a potential client. You want to send a personalized proposal within a few hours: what you heard, your recommended solution, next steps.

Traditional approach:

  1. Review meeting notes in your notes app (Granola, Otter, Fireflies)
  2. Copy key points
  3. Open Google Slides, find your proposal template
  4. Manually customize each slide
  5. Spend 4+ hours on formatting and adjustments
  6. Send the next day

With Alai MCP:

You stay in Claude throughout:

  1. Pull meeting context via Granola MCP.Claude accesses your meeting notes. It has the client’s pain points, timeline, budget, and specific concerns.
  2. Pull your base proposal structure from Notion or Google Drive.Your standard template provides the framework.
  3. Refine the narrative in Claude.“Based on the call, emphasize the integration timeline. They’re concerned about implementation speed. Remove the enterprise pricing section, they’re not ready for that.”
  4. Generate with Alai MCP.“Create the proposal using Alai with our brand theme.” Alai generates a polished deck with multiple layout options per slide.
  5. Iterate.“Make the implementation timeline more visual.” Or open Alai and directly adjust specific text. Combine AI suggestions with manual refinement.
  6. Export and send.PowerPoint or shareable link. Complete within an hour of the call.

The client receives a personalized, professional proposal the same day. You stayed in your AI agent. You didn’t spend hours on formatting.

Additional Workflows

Investor Update: Connect Stripe (revenue data) and PostHog (product analytics) to Claude. “Create this month’s investor update with current metrics using Alai.” Real numbers flow into a polished board deck.

Competitive Analysis: Research competitors in Claude using web search and document analysis. “Turn this analysis into a 15-slide presentation for leadership using Alai.” Claude handles the content synthesis, Alai handles the visual design.

Training Materials: Upload documentation to Claude. “Create a training deck for new sales representatives using Alai.” Get structured, on-brand slides in minutes instead of days.

Weekly Status Updates: Connect Notion and Linear to your AI agent. Generate consistent status decks with current project data.

The Last Mile, Solved

AI agents transformed research and analysis. But the final step, creating a presentation you can actually send, remained manual and time-consuming.

With Alai MCP, you get the research capabilities of your AI agent combined with the design quality of a specialized presentation tool. Edit via AI commands, through Alai’s Agent Mode, or with direct manual control. Whatever fits the task.

Research → Refine → Present. One workflow.

Get Started

Alai MCP works with Claude, Cursor, and any MCP-compatible AI agent. Setup takes a few minutes.

Setup guide: https://getalai.com/blog/mcp-server-for-presentations

Try Alai: https://getalai.com







Here’s why Fed contender Kevin Warsh is seen as bearish for bitcoin

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On Thursday, President Donald Trump said he will announce his pick for the U.S. Federal Reserve chair to replace incumbent Jerome Powell after the latter’s term ends in May.

While nothing is confirmed yet, reports suggest the Trump administration is preparing to nominate Kevin Warsh, who served on the Federal Reserve Board of Governors from 2006 to 2011.

Warsh has occasionally praised cryptocurrencies. Yet bitcoin plunged late Thursday to near $81,000 lows as his odds spiked on betting sites, with some analysts now pegging him as a bearish force for the asset.

“Markets generally view a resurgence of Warsh’s influence as bearish for Bitcoin, as his emphasis on monetary discipline, higher real rates, and reduced liquidity frames crypto not as a hedge against debasement but as a speculative excess that fades when easy money is withdrawn,” Markus Thielen, founder of 10x Research, told CoinDesk.

Higher real interest rates mean the actual cost of borrowing money after accounting for inflation is elevated. Think of it as the “true” interest rate that hits your finances harder. When real rates are elevated, businesses and investors typically scale back exposure to risky investments such as bitcoin.

Warsh’s track record is adding fuel to the fire. During the global financial crisis (GFC) that lasted from December 2007 to June 2009, Warsh repeatedly cited inflation risks even as the global economy teetered on the brink of a full-blown deflation.

For instance, in September 2008, the month when Lehman Brothers collapsed, Warsh said, “I’m still not ready to relinquish my concerns on the inflation front.”

Seven months later, when the Fed’s preferred inflation measure was at 0.8% and the jobless rate at 9%, he said, “I continue to be more worried about upside risks to inflation than downside risks.”

Over the years, many observers have argued that Warsh’s hawkishness and failure to acknowledge deflation risks exacerbated the crisis.

“From this perspective, his approach would likely have resulted in higher unemployment, slower recoveries, and greater deflation risk during the 2010s,” Thielen said.

All this makes a potential Warsh pick as ironic, as the former Fed governor’s hawkish record clashes sharply with Trump’s reflationary, pro-risk asset playbook. Trump has repeatedly bashed Powell, often resorting to personal attacks for keeping rates elevated and killing the economy. The President has stressed the need for rapid rate cuts, calling for interest rates to be as low as 1% from the present window of 3.5%-3.7%.

Hence, several observers say Warsh is a wrong pick for the Fed that’s expected to toe Trump’s line.

“Kevin Warsh has been a monetary policy hawk his entire career and most importantly, during a time when the labor markets fell out of bed. His dovishness today stems from convenience. The President risks getting duped,” Renaissance Macro Research said on X.

“I read the fomc transcripts during the GFC. His quotes scared me,” Bloomberg’s Chief U.S. Economist Ana Wong said.

Thankfully, even as Fed chair, Warsh cannot dictate rates alone, as the Board of Governors votes collectively, diluting any single voice. It remains to be seen if Trump goes ahead with Warsh.

Until then, his hawkish history may keep spooking risk assets, bolstering the dollar in the interim.

Bitcoin ‘Massive Rotation’ Is On The Rocks: Benjamin Cowen

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Bitcoin’s price downtrend may not be as short-lived as many holders anticipate, says crypto analyst Benjamin Cowen.

“Bitcoin’s likely going to keep bleeding against the stock market,” Cowen said in a video on Thursday, adding that strong expectations of a “massive rotation” from metals like gold and silver into crypto may be misplaced.

The prices of gold and silver have recently surged to all-time highs of $5,608.33 and $121.64, respectively, according to Trading Economics. 

Citi predicts silver won’t slow down

Citi predicted on Tuesday that silver could climb to $150 within the next three months, driven by Chinese demand and the US dollar hitting four-year lows.

However, Cowen emphasized that the rotation to Bitcoin is “probably not going to happen” in the short term. 

Bitcoin is down 6.12% over the past 30 days. Source: CoinMarketCap

Many in the crypto market are betting that gold and silver hitting new all-time highs is a signal that history will repeat and Bitcoin will eventually follow.

Bitcoin is trading at $82,859 at the time of publication, down 7.78% over the past seven days, according to CoinMarketCap. 

It comes as sentiment across the broader crypto market has been waning. The Crypto Fear & Greed Index, which measures overall crypto market sentiment, posted an “extreme fear” score of 16, indicating that investors are significantly cautious about the crypto market.

Other analysts are more optimistic

Swyftx lead analyst Pav Hundal told Cointelegraph that the market may be near a turning point, saying, “We’re right on the cusp of where we’d traditionally expect to see re-risking back into Bitcoin.”

Related: Bybit made ‘slow but steady comeback’ in 2025 after massive hack: CoinGecko

“Bitcoin bottoms have historically lagged gold’s relative strength by about 14 months,” Hundal explained, adding that he anticipates the rotation will happen in February or March. 

“If history repeats, and it is a big if, the gold-Bitcoin dynamic points to a potential BTC bottom forming over the next 40 days,” Hundal said.