Siena AI

watched Greg Isenberg break down how to 10x Claude 4.5, and it clicked why most companies still treat AI agents like glorified chatbots. Greg's 10 rules aren't just prompt tips but a blueprint for turning AI from a tool into a teammate. basically stop giving vague commands, start writing job specs. here's what matters for AI agents like Siena AI: 1. the collaborative tone rule - when you brief an AI agent on customer experience matters, "handle tickets faster" gets you garbage. "resolve billing questions for subscription customers within 2 exchanges while maintaining brand voice" gets you outcomes. 2. explicitness beats assumptions - "improve customer satisfaction" is useless. "identify escalation triggers in support conversations and route to human agents when customer mentions cancellation, refund, or legal" is executable. 3. constraints create focus - unlimited AI responses are overwhelming. defining boundaries (response length, tone guardrails, banned phrases, escalation criteria) turns an agent from spammy to surgical. 4. draft, plan, act - the best AI deployments don't launch day one. you blueprint the workflow, test responses, refine logic, then scale. rushing to production creates the AI slop everyone complains about. 5. structured output matters - AI agents need to feed into your systems. if Siena couldn't output clean data for your helpdesk, subscription, or returns platform, it's not an agent - it's a toy. 6. explain the why - when we onboard customers, the brands that win give us their positioning, tone guide, and customer personas. agents trained on "be helpful" sound generic. agents trained on "you're Kitsch - fun, playful, beauty-obsessed" deliver brand-aligned support. 7. brevity vs depth control - some tickets need "order shipped, tracking: XYZ" - others need empathetic paragraphs. AI agents should know when to be brief and when to expand. 8. power phrases trigger reasoning - we build this into Siena's logic: "before responding, identify customer intent" or "if uncertain, ask clarifying question" makes agents think, not just pattern-match. 9. divide and conquer - complex customer issues (returns + exchanges + loyalty points) break into subtasks. agents that try to solve everything in one response fail. agents that triage, route, and sequence actions scale. the companies getting ROI from AI agents are the ones writing architected briefs, defining tone, audience, constraints, process, outcomes. most AI deployments fail because people treat agents like magic. Greg's framework proves what we see every day: you GET out what you ARCHITECHT in. if you're evaluating AI agents and wondering why demos feel impressive but production feels messy, this is why. the technology works. the briefs don't. and of course, it's all about the people working in the background.

Siena AI 🤝 Okendo = 🤩 if you're still manually moderating reviews, you're wasting time on the wrong problem. the real issue isn't approving or rejecting reviews. it's that your review data is dead. thousands of customers tell you exactly what they love, what sizing runs small, what features matter most, and none of that intelligence goes anywhere. it just sits on product pages. with Okendo + Siena, reviews become customer intelligence that works across every interaction. Siena moderates automatically based on your content standards. writes personalized responses to the reviews that deserve them. then extracts the product insights and stores them as customer context. when someone contacts support months later, Siena already knows their sizing preferences or that they loved a specific feature. when they're browsing, recommendations reflect what they've praised or passed on. reviews stop being isolated data and become intelligence that improves every customer touchpoint. starting today, Okendo customers can set this up in minutes. if your review data isn't actively improving customer experience across channels, you need this. read more in the comments and sign up for a demo with our team!

Today we're launching Reviews Agent with Okendo. Reviews are one of your highest-signal channels. They tell you what customers love, what's breaking, where trust is building or eroding. For scaled brands, this data is critical for visibility, loyalty, and catching patterns early. But today, reviews management is a grind. Manual approvals. Manual moderation. Manual responses. And the insights? Stuck in a silo, disconnected from everything else you know about your customers. Reviews Agent handles the entire workflow: approvals, authenticity checks, responses. But here's what matters more: every review now feeds Siena Memory. That means Siena gets smarter with every submission. Patterns surface automatically. And the next time that customer reaches out, Siena already knows what they said in their review - what they loved, what went wrong, what matters to them. Reviews stop being a task to manage. They become part of how your brand learns. Available for all Siena and Okendo brands now. Read more in the comments.

scaling an AI company isn't like scaling anything else. the people who win with our customers are the ones who can build, ship, and solve in real time. two insanely cool roles are still open: 1. product managers who ship. you'll work directly with customers, scope solutions, and deliver them. not just coordinate, actually deliver. you own outcomes, not roadmaps. 2. account executives who get technical. you need to understand how AI works to sell it properly. we want enterprise closers who can have deep conversations and move fast. what matters: - you've shipped real things - you move fast - you can handle ambiguity - technical and understand what we're building - hungry what doesn't work here: - traditional playbooks from 2019 - needing 3 months to ramp - having built nothing with AI yet - having no ownership - needing constant direction if you want to truly change how commerce evolves with AI and work alongside the most incredible brands, we should talk. dm me or apply in the comments.

From our first support agent to a full agentic platform, it’s been a wild journey. We’re building something special and we just got a top CX tech nomination. If you agree, send us a vote! https://lnkd.in/exRWXUfv

during the Shopify outage yesterday... a lot of human teams weren't easily able to cancel orders, change shipping addresses, or make other time-sensitive order edits. Siena was still making those changes while having their backs! human + AI = ❤️ lfg!!!

"Siena was our only working agent with Shopify." Here's the unexpected benefit of running an AI-first CX operation. Yesterday, Shopify's admin went down for hours on Cyber Monday. CX teams across the world were locked out. Couldn't cancel orders. Couldn't change shipping addresses. Couldn't do anything but watch tickets pile up. Then we started hearing from customers: Siena is still resolving issues like nothing happened. AI agents don't have to log into dashboards. They talk directly to APIs. When the admin goes down, they don't even notice. We didn't design for this. But watching our customers get through BFCM with zero downtime in their CX ops while everyone else scrambled was a good reminder of why we're building this.

we're hiring our next enterprise AE in NYC to work in office with us and drive AI transformations for the world's best ecommerce brands. hunger and energy matter more than years of experience, dm me. 🚀🌕 jd comments.

Finally got our little token of appreciation from OpenAI. 🫶 I remember the first time we called OpenAI API in 2022. The model hallucinated, the latency was brutal, and we had no idea if any of this would actually work for real customer service. Now we're here. Handling millions of customer conversations for some of the best brands in the world. This one's for the team. For the customers who trusted us when this technology was still unproven. For the partners who helped us push what's possible. Grateful to work on something that matters with people who care about getting it right. I'm so stoked for what we've built, but even more for what's coming next.

This one belongs to our customers. Siena joins the 100 billion token club. We've officially crossed 100 billion tokens processed with OpenAI, joining approximately 140 companies worldwide who've reached this milestone. Every one of those 100 billion tokens represents a real customer conversation you trusted us to handle. Product questions during launches. Order issues on BFCM. Returns during peak season. Complaints that needed resolving immediately. You don't reach 100 billion tokens in customer service through experimentation. You get there because brands trust you with their most important asset: their customers. We're one of the few putting AI directly on the front lines of customer service. Hundreds of thousands of live conversations every day. Real-time. Zero margin for error. To our customers - thank you for believing AI could handle your most demanding work. Thank you for pushing us to be better. This milestone is yours as much as ours. It's still day 1. ❤️