The Startup That Believes Your Email Could Decipher the Future of Usable AI Agents

In the rapidly evolving field of artificial intelligence, AI agents are being hyped as the next seismic shift in the way we work. These independent digital helpers, designed to execute tasks, make decisions, and communicate like humans, are quickly becoming a high priority for many tech companies.

But there’s one big hitch: they still aren’t working all that well.

Despite billions of dollars in investment and significant advancements in large language models, today’s AI agents often fall short. They can’t issue basic commands like turning off the lights, frequently hallucinate, suffer from memory issues, fail to collaborate with other agents, and collapse in complex institutional systems. In short, they’re not enterprise-ready.

But one startup thinks it has a surprising and potentially game-changing solution: email.

The Promise—and Problems—of AI Agents

AI agents, in theory, promise a future where knowledge workers can offload routine jobs such as:

• Document summarization
• Scheduling meetings
• Data analysis
• Proposal generation

Think of a digital sidekick that understands your objectives, collaborates with your team, and works 24/7 without breaks.

In reality, however, these agents are:

• Brittle and unreliable
• Poor at retaining long-term context
• Known for hallucinating
• Incompatible with core workplace tools like CRMs and internal databases

Even as major players like OpenAI’s GPTs, Google’s Gemini agents, and Meta’s AI team build next-gen solutions, the challenges of context, continuity, and compatibility are proving tougher than expected.

A Different Approach: Email, Not APIs

That’s where Hyperwrite, a productivity-focused AI startup, aims to change the narrative. Its founders believe that instead of expecting AI agents to integrate with countless APIs, we should use tools companies already trust: email.

“Email is the structure that already exists in business, and it’s the most consistent, predictable interface,” said Matt Shumer, co-founder of Hyperwrite.

Hyperwrite’s approach is refreshingly simple: train AI agents to operate within email systems—taking orders, sending updates, and coordinating across departments, just like human assistants.

How It Works: Building AI Agents for the Real World

Hyperwrite’s AI agents are designed to live inside email threads, shared inboxes, and communication flows. Here’s how they function:

• Instead of coding an API call, the AI sends a structured email to a sales or operations contact.
• The AI reads incoming replies, extracts intent, and acts accordingly within the conversation.
• Every step remains visible, natural, and human-readable.

Key Benefits:

• Human-in-the-loop by design: Email slows the process down just enough to allow for oversight.
• Structured interaction: All communications are logged and follow business norms.
• Real-world usage: Agents work where people already work—in email.

Hyperwrite is also investing in memory, task tracking, and coordination features to support long-term workflows, not just one-off tasks.

Why Email Makes Sense

While it may sound old-school, using email as a core interface has distinct advantages:

• Ubiquity: Every employee, partner, and system already uses it.
• Auditability: All agent activities are logged and traceable.
• Security: Existing protections remain intact.
• Interoperability: No need for custom integrations or infrastructure changes.

“Using email is clever because it goes through systems people already trust and are familiar with,” noted Monica Ruiz, a senior analyst at Gartner.

The Bigger Picture: From Assistants to Colleagues

Hyperwrite isn’t alone in trying to redefine AI agents. Startups like Inflection AI and Adept are experimenting with browser automation and scripting interfaces. But most of these assume a future where everything is instantly integrated and efficient.

Hyperwrite’s email-first model takes a different approach. It acknowledges:

• AI agents don’t have to be perfect.
• They just have to be useful.
• Trust is earned through real-world reliability.

By working within human workflows—email inboxes, documentation trails, and slow coordination loops—AI agents can gradually prove their worth.

“This is not a demo kind of thing,” Shumer emphasized. “It’s all about getting things done in the real world, with real businesses.”

Challenges Remain

Of course, email-based agents are not a silver bullet. Key challenges include:

• Parsing nuanced human messages can still trip up AI models.
• Email overload may frustrate users if agents flood inboxes or need constant direction.

Hyperwrite is working to address these with:

• Smarter summarization tools
• User-friendly dashboards
• Natural language controls
• A strong focus on human-in-the-loop design

A Step Toward Sustainable AI

As enthusiasm for AI agents grows, Hyperwrite’s approach offers a grounded alternative—one that’s practical, deployable, and enterprise-friendly.

Rather than gambling on moonshots or experimental protocols, they’re starting with something real—a tool every business already uses—and working incrementally toward more ambitious automation.

In a world seeking balance between innovation and reliability, email-based agents could represent the best of both worlds:

• Automation with transparency
• Intelligence with oversight

Whether this approach becomes the dominant path remains to be seen, but for now, Hyperwrite’s agents are proving that sometimes, the simplest interfaces unlock the most powerful possibilities.