September 29, 2026 - San Francisco Post

Marketing Crunch Puts The Spotlight On People in an AI-Powered Agency Market

San Francisco Post Staff on September 29, 2026

Nine in 10 U.S. marketing agencies now use generative AI. Half use agentic AI for marketing execution. Those figures, from Forrester research published in June 2026, show how thoroughly the technology has moved into agency work, with adoption spreading across creative, strategy, media, and reporting workflows.

As the tools become common ground, the question for companies hiring marketing support is shifting. It is less about which firm has access to the technology and more about which firm, or which person, uses it best.

Marketing Crunch is launching with that question in view. The new platform reviews PR firms and individual marketers, positioning itself as the “Rotten Tomatoes of tech marketing,” and focuses attention on the human side of a rapidly automating industry.

When Everyone Has The Same Toolkit

Technology has historically been one way agencies differentiated themselves. Proprietary platforms, analytics capabilities, and specialized software could set a firm apart.

Widespread AI adoption changes that. When most agencies are working with comparable generative and agentic tools, the software itself becomes a baseline. What rises in importance are the qualities that sit around the technology: strategic judgment, creative instinct, relationships with media and industry, the discipline to execute well, and the ability to produce results.

These are also the hardest qualities to see from the outside. They show up in how a campaign was planned, how a crisis was handled, and how a client relationship developed over time. Reviews are one of the most direct ways to bring that information into view.

A Platform Built Around Reputation

Marketing Crunch is designed as a dedicated destination for those reviews. It covers PR firms as well as individual marketers, extending beyond the company-level focus of traditional agency directories.

That individual dimension carries particular weight in an AI-driven market. Two firms may run similar technology stacks, yet the people directing that technology can produce very different outcomes. Reviewing individuals alongside firms allows the platform to reflect where much of the real differentiation lives.

Budgets Follow The Value

The spending data points in a consistent direction. Forrester’s 2026 survey of B2B brand and communications marketers found that 93% use agencies in some capacity, while the share expecting their agency budgets to rise fell 13 percentage points from 2025, with nearly half expecting flat spending.

As AI allows marketing teams to handle more work internally, the budget that still goes to outside partners is increasingly concentrated on expertise. Companies want to know that the firm they hire brings something beyond what the tools alone can offer.

Measuring What Matters

PR teams are also recalibrating around results. The 2026 State of PR report from Meltwater and We. Communications, which drew on more than 1,100 PR and communications professionals worldwide, identified proving ROI as one of the leading issues for PR teams. More than one-third of respondents named alignment between measurement and business goals as a top priority.

Cision’s Inside PR 2026 research adds another data point: 91% of PR professionals surveyed use generative AI in their workflows, and executives and agencies are placing growing emphasis on revenue and ROI alongside brand awareness.

Together, these findings describe a profession that is embracing AI while sharpening its focus on business outcomes.

The Human Layer

In that environment, a review platform serves a specific purpose. It records how clients experienced working with a firm or marketer, a perspective that no amount of automation replicates.

Marketing Crunch’s launch reflects a broader realignment in tech marketing. The technology is now shared across the industry. The people using it are what companies are really choosing between, and Marketing Crunch gives those people a place where their work can be reviewed.

A Complete Guide to Book Publishing for New and Aspiring Authors

San Francisco Post Staff on September 29, 2026

Publishing a book is an exciting step for any writer, but first-time authors often find the process confusing. Finishing a manuscript is only the beginning. Authors also need to consider editing, formatting, cover design, publishing, distribution, and marketing before their book can reach readers.

Understanding each stage can help new and aspiring authors approach publishing with greater confidence and make informed decisions about the support they may need.

Start With a Complete Manuscript

Before thinking about publication, authors should make sure their manuscript is complete. Depending on the type of book, this may involve writing all chapters, organizing the content, developing characters, or reviewing the overall structure.

Authors who have an idea but need professional assistance can consider book writing services. Professional writers can help develop an initial concept into a structured manuscript while working according to the author’s goals and intended audience.

For authors who want professional assistance with writing while remaining involved in the creative direction, ghostwriting can also be an option.

Edit and Proofread Your Book

A finished manuscript is not necessarily ready for publication. Editing is an important part of the publishing process because even experienced writers can miss inconsistencies, unclear sentences, repetition, or grammatical issues in their own work.

Professional book editing services can provide a detailed review of the manuscript. Depending on the project’s needs, editing may address structure, readability, grammar, punctuation, consistency, and overall presentation.

Proofreading is generally performed toward the end of the process to identify remaining spelling, punctuation, formatting, or typographical errors.

Create a Professional Book Cover

Readers often notice a book’s cover before anything else. A professional cover should reflect the subject and tone of the book while making it visually appropriate for its intended audience.

Authors should consider the genre when developing their cover. A children’s book, romance novel, business book, and thriller may each require a very different visual approach.

Professional book cover design services can help authors develop a cover that complements the content and presents the book professionally.

Format the Interior

Interior formatting is another important stage before publication. The manuscript needs to be converted into a professional book layout that works for the intended format.

Formatting can include chapter headings, page numbers, margins, fonts, spacing, images, and other design elements. Print books and ebooks may also require different formatting approaches.

A properly formatted book provides a smoother reading experience and helps ensure that the final publication looks professional across its intended platforms.

Publish and Distribute the Book

Once the manuscript has been edited, designed, and formatted, the next step is publication. Authors need to determine which publishing route fits their project and goals.

Book publishing services can assist authors with the process of preparing and publishing their work. Depending on the service provider and publishing arrangement, support may include preparation, distribution, and other publishing requirements.

Authors should understand what is included before starting a publishing project. Reviewing the available services, costs, timelines, rights, and distribution arrangements can help prevent misunderstandings later.

Promote Your Published Book

Publishing a book does not automatically guarantee that readers will discover it. Marketing can help create awareness and connect the book with its potential audience.

Authors may use social media, author websites, email marketing, online content, book reviews, promotional campaigns, and other methods to introduce their work to readers.

Professional book marketing services can provide additional support for authors who want assistance developing and implementing a promotional strategy.

Consider Additional Publishing Services

Some books require services beyond writing, editing, and publishing. For example, children’s books may need illustrations, while some authors may want an audiobook version or a book trailer to support promotion.

Choosing services based on the specific requirements of the project allows authors to focus their resources where they are most useful.

Final Thoughts

Book publishing is a process with several important stages. From completing and editing the manuscript to designing the cover, formatting the interior, publishing the book, and promoting it to readers, each step contributes to the final result.

New and aspiring authors do not necessarily have to manage every stage alone. Professional publishing services can provide specialized assistance throughout the process while allowing authors to remain focused on their creative vision.

By understanding the publishing process before getting started, authors can make better-informed decisions and move from a completed manuscript toward a professionally prepared book.

San Francisco Startup Builds AI to Detect Deepfake Voices

San Francisco Staff 2 on September 29, 2026

San Francisco AI startup DetectifAI is developing technology designed to identify deepfake and cloned voices during calls and other audio interactions. Founder Tarini Padmanabhuni started the company after a voice-cloning scam targeted her grandfather, leading the startup to focus on detecting synthetic speech directly on smartphones.

Key Takeaways

DetectifAI is developing technology to identify AI-generated and cloned voices
Founder Tarini Padmanabhuni launched the company after a voice-cloning scam involving her grandfather
The startup’s technology is designed to operate directly on smartphones
DetectifAI is targeting phone calls, voice messages and other audio interactions
Its approach is designed to detect synthetic speech without requiring audio to be processed entirely through the cloud

DetectifAI Develops On-Device AI for Deepfake Voice Detection

DetectifAI is developing artificial intelligence technology intended to distinguish synthetic voices from human speech during audio interactions. The San Francisco startup was founded by Tarini Padmanabhuni, who began developing the company after a voice-cloning scam involving her grandfather.

The company’s focus is deepfake voice detection. Its technology is designed to analyze speech and identify signs that an audio sample was generated or altered using artificial intelligence.

DetectifAI is also developing its system for on-device use. Rather than depending entirely on cloud-based processing, the company’s approach is designed to allow detection technology to operate directly on a smartphone.

That approach places the detection process on the device handling the audio interaction. The technology is intended for situations involving phone calls, voice messages and other forms of spoken communication.

The company’s development addresses a specific problem created by synthetic voices. A person can use voice-cloning technology to produce speech that resembles another individual, creating a challenge for people attempting to determine whether they are communicating with the person they expect.

DetectifAI’s product focus is therefore centered on identifying the audio itself rather than relying only on the identity presented by a caller or message sender.

Founder Launches Startup After Family Voice-Cloning Scam

Padmanabhuni’s decision to start DetectifAI followed a voice-cloning scam involving her grandfather. The incident became the basis for the company’s focus on identifying synthetic voices.

In the scam, a cloned voice was used to make Padmanabhuni’s grandfather believe he was speaking with his brother. The incident showed the practical difficulty of distinguishing a familiar person’s voice from an AI-generated imitation.

The scam involved a false claim that the grandfather’s brother had been kidnapped. The deception led to a ransom payment before the situation was identified as fraudulent. Similar phone impersonation scams can rely on urgency and familiar details to pressure recipients before they have time to verify a caller’s claims.

Padmanabhuni subsequently founded DetectifAI to work on technology intended to identify this type of synthetic speech. The company’s stated focus connects the founding experience directly to the technical problem it is attempting to address.

The family incident provides the immediate context for the startup’s product development. DetectifAI is working on technology intended for use during ordinary audio communications.

The startup’s work centers on detection rather than voice generation. Its technology is intended to identify whether speech is synthetic, providing a technical layer for evaluating audio received through calls and messages.

Technology Targets Synthetic Speech During Audio Interactions

DetectifAI is designing its technology for several types of spoken communication, including phone calls and voice messages. The system is intended to analyze speech during those interactions and identify whether the voice may have been generated through AI.

The focus on audio interactions gives the technology a specific use case. A deepfake voice can be presented through a familiar communication channel, meaning the recipient may initially treat the voice as evidence of the speaker’s identity.

Voice-cloning scams can exploit that assumption by reproducing characteristics associated with a real person’s speech. DetectifAI’s technology is being developed to provide a separate method for assessing the authenticity of the voice.

The challenge extends beyond voice cloning as anti-deepfake detection tools are also being developed to assess synthetic media and manipulated identity signals.

The startup’s approach centers on the technical detection of synthetic speech rather than on identifying a particular scam scenario. The same detection capability can be applied to audio in different communication settings when the system is able to analyze the voice.

Phone calls are one of the situations targeted by the technology. Voice messages are another. Both involve audio that can potentially be separated from other identifying information and evaluated for characteristics associated with synthetic generation.

The company’s product development therefore focuses on a defined technical task: determining whether spoken audio is genuine or AI-generated.

That task differs from conventional caller identification. Caller identification can provide information about a telephone number or sender, while deepfake voice detection examines the characteristics of the speech itself.

DetectifAI’s development combines artificial intelligence for analyzing speech with smartphone-based processing for conducting that analysis on the device.

On-Device Processing Forms Part of DetectifAI’s Approach

DetectifAI’s technology is designed to operate directly on smartphones rather than requiring all audio to be sent to a remote cloud system for analysis. On-device AI places the processing capability on the device where the communication occurs.

The approach is relevant to the startup’s voice-detection objective because audio can be analyzed within the same device used for a call or message. The company’s technology is being developed around that local-processing model.

Cloud-based systems and on-device systems handle AI processing differently. A cloud-dependent system sends information to remote computing infrastructure, while an on-device system performs at least part of the computation locally.

DetectifAI is applying the latter approach to voice authentication and deepfake detection. The company is seeking to determine whether speech is synthetic while keeping the detection process tied to the user’s smartphone.

The startup’s focus on local processing is part of its technical design rather than a separate product category. The central purpose remains the identification of AI-generated voices.

The technology is intended for audio interactions in which a recipient needs to determine whether the person speaking is genuine. This includes communications where a cloned voice is presented as someone the recipient already knows.

The technical distinction remains important for DetectifAI because its proposed system is designed around local voice analysis rather than a general-purpose cloud AI platform.

San Francisco Startup Focuses on Voice Authentication Technology

DetectifAI’s work places voice authentication at the center of its San Francisco startup operation. The company is developing technology intended to help distinguish genuine speech from cloned or AI-generated voices.

Padmanabhuni’s founding experience provides the direct connection between the company’s creation and the problem it is addressing. Her grandfather’s experience with a cloned voice led to the development of a startup focused specifically on synthetic-speech detection.

The company is focused on detecting rather than producing cloned voices. Its stated product direction includes identifying AI-generated speech used during phone calls and voice messages.

Its on-device approach also distinguishes the technology’s intended operation. DetectifAI is developing a system that can perform voice analysis directly through a smartphone instead of relying entirely on remote processing.

The company’s work addresses a specific challenge for voice communications: a familiar-sounding voice is no longer necessarily sufficient evidence of a speaker’s identity when AI tools can reproduce a person’s speech.

DetectifAI’s technology is intended to provide an additional method for assessing the authenticity of spoken communication. The system’s role is to analyze the voice and identify whether it shows characteristics associated with synthetic generation.

For DetectifAI, the product objective remains focused on identifying whether spoken audio is synthetic. The startup’s development is rooted in the family incident that prompted Padmanabhuni to create the company and is centered on detecting deepfake voices across common audio communication formats.

Frequently Asked Questions

What is DetectifAI?

DetectifAI is a San Francisco startup developing artificial intelligence technology for detecting deepfake and cloned voices. Its technology is designed for audio interactions including phone calls and voice messages.

What does DetectifAI’s deepfake voice technology do?

The technology is designed to analyze spoken audio and identify whether a voice may have been generated or altered using artificial intelligence. The company’s focus is detecting synthetic speech rather than generating cloned voices.

Who founded the San Francisco AI startup?

Tarini Padmanabhuni founded DetectifAI after a voice-cloning scam involving her grandfather. The incident led her to focus the company’s work on detecting synthetic voices.

How does on-device deepfake voice detection work?

DetectifAI is developing technology designed to perform voice analysis directly on smartphones. Its approach does not require all audio processing to take place through a remote cloud system.

Why are deepfake voice scams difficult to identify?

Deepfake voice scams can use AI-generated speech that resembles a familiar person’s voice. DetectifAI is developing technology intended to provide a technical method for assessing whether spoken audio is synthetic.

Day: September 29, 2026