Business owners are overwhelmed by AI terminology. A consultant can create a personalized GPT ecosystem using their unique preferences, goals, and workflows. This service turns an executive's operational knowledge into valuable intellectual property, packaged as custom system prompts and GPTs they can use daily.

To solve the "what do I do with this signal?" problem, 2X CMO Lisa Cole created a custom GPT. Trained on their positioning, messaging, and intent signals, it acts as an on-demand coach for sales reps, providing specific outreach strategies and messages for high-intent accounts.

Advanced AI models are blurring the lines between coding, design, and marketing, enabling a new "vibe building" workflow. This paradigm shift allows a single person to manage the entire product stack holistically, moving beyond simple "vibe coding" to full-fledged product creation.

Frame your product's value not around the underlying AI, but around the premium insight it unlocks. The key is to instantly provide an answer—like a valuation or diagnosis—that previously required significant time, money, or human expertise.

Don't just rely on your personal communication skills. Solidify your intellectual property by developing well-designed, visual frameworks that map out your process. This transforms your knowledge into a tangible asset, signaling deep expertise and creating scalable value for prospects.

Instead of guessing at marketing copy, build an AI model of your ideal customer. By feeding it internal data like call transcripts and external data like forum posts, this "digital twin" can review and rewrite your marketing materials using the customer's exact language.

Generic AI app generation is a commodity. To create valuable, production-ready apps, AI models need deep context. This "Brand OS" combines a company's design system (visual identity) and CMS content (brand voice). Providing this unique context is the key to generating applications that are instantly on-brand.

To scale the CEO's feedback, his EA created a custom GPT trained on his feedback style, strategy docs, and company norms. Team members use this 'CEO clone' to stress-test their proposals before official review, improving document quality and saving executive time.

After receiving feedback that his writing was too long, a PM built a custom GPT to make messages more concise. He fed it newsletters and books on effective writing from experts, creating a personalized coach that helped him apply the feedback in his daily work, leading to better engagement from colleagues.