SaaStr's AI agent 'QB' composed and sent unique emails to over 80 event sponsors after midnight. It used chatbot data for topic ideas and created a custom checklist of outstanding tasks for each sponsor, then sent them all in minutes while the human team slept.

Dramatically increase sales velocity and personalization by building an AI workflow that generates proposals. The agent pulls context from all past interactions, including meeting transcripts, to weave in specific personal details that a human would likely forget.

Don't let an AI agent generate sales copy from scratch. The key to creating high-quality, effective outreach is to train the model using the proven email templates and scripts from your highest-performing salesperson. This provides a strong baseline for the AI to iterate and test from.

With AI agents, the key to great results is not about crafting complex prompts. Instead, it's about 'context engineering'—loading your agent with rich information via files like 'agents.md'. This allows simple commands like 'write a cold email' to yield highly customized and effective outputs.

AI agents can continuously experiment with variables like subject lines, send times, and offers for each individual user. This level of granular, ongoing A/B testing is impossible to manage manually, unlocking significant performance lifts that compound over time.

The fear of AI replacing marketers is misplaced. AI's value is in executing tasks at a scale impossible for any human team, such as crafting and sending a completely unique email to every single website visitor.

Unlike training a human, feeding an AI SDR historical 'good' emails can limit its effectiveness. The better approach is to train it on core personas and ways to add value, allowing the AI to use its ability to scrape vast, real-time data for hyper-personalization.

Perplexity Computer can identify prospects, find specific contacts (like partnership managers instead of CEOs), research their company's news and personal social media, and draft unique, hyper-personalized emails, automating a complex sales development workflow.

AI agents like Manus provide superior value when integrated with proprietary datasets like SimilarWeb. Access to specific, high-quality data (context) is more crucial for generating actionable marketing insights than simply having the most powerful underlying language model.