Blog
Notes on agentic apps, AI agents, and how teams ship them.
Why deterministic operations matter for AI agents
The reliability fix for multi-agent apps: move correctness out of the prompt and into deterministic, transactional operations. Why it matters and how it prevents real bugs.
AI agents and SOC 2: what compliance teams need to know
What it takes to run AI agents in a SOC 2 / regulated environment — access control, isolation, audit, and data handling — and the questions to ask any agent platform.
Automating seasonal drops and promotions
Drops and seasonal promotions are where ecommerce teams scramble hardest. How AI agents handle the surge — promotions toward a goal, support spikes, and the prep — so launches run themselves.
How to measure the ROI of an AI agent
A practical framework for measuring AI agent ROI — the inputs that matter, the outcome metrics per function, and the costs to count so the number is honest.
How to ship ecommerce features faster
Growing brands lose to slow feature delivery. How to go from idea to live feature in a day — by building with AI instead of queuing behind a small engineering team.
How to give AI agents access to your data safely
AI agents are only useful with access to your data — and only safe with the right controls. A practical guide to scoping, isolation, credentials, and audit.
Your engineering backlog is your growth ceiling
For growing ecommerce brands, the real constraint isn't ideas or budget — it's the dev backlog. Why features stall, what it costs, and how AI changes the math.
Multi-agent systems: when one agent isn't enough
When to split work across multiple AI agents instead of one — the patterns that work, the coordination traps to avoid, and how agents hand work to each other safely.
The hidden cost of manual ecommerce operations
The work that doesn't show up on a P&L: manual promotions, support triage, and merchandising. What manual ops really costs a growing brand — and how to get it back.
Building an AI agent that takes payments with Stripe
How an AI agent can send a payment link, get paid, and react to the payment — closing the loop on a sale — and how to do it without putting payment keys in agent code.
Ecommerce automation without hiring more engineers
Growing brands don't need a bigger engineering team to automate — they need leverage. How to automate operations and ship features with AI instead of headcount.
AI agents vs RPA: what's the difference?
RPA automates fixed, repetitive steps by mimicking clicks. AI agents pursue goals and adapt. How they differ, where each fits, and why teams are moving from one to the other.
Per-action credentials: how AI agents stay secure
Long-lived API keys in agent code are a breach waiting to happen. How short-lived, per-action credentials shrink the blast radius — and why it's the right default for AI agents.
AI agent guardrails: keeping agents safe in production
The guardrails that keep production AI agents safe — scoped tools, isolation, approval gates, and audit — and why the runtime, not the prompt, has to enforce them.
How to write a good agent rulebook (system prompt)
An AI agent is only as good as its instructions. A practical guide to writing an agent's rulebook — role, boundaries, tools, escalation, and voice — that holds up in production.
Human-in-the-loop for AI agents: when to keep a human in the loop
Autonomy isn't all-or-nothing. A guide to designing human-in-the-loop checkpoints for AI agents — what to gate, when to escalate, and how to keep it auditable.
AI agents for ecommerce: 5 things to automate first
Where to start with AI agents on an online store — the five highest-leverage things to automate first, in order, and what each one needs to work safely.
How to build an AI sales agent (in a day)
A practical, step-by-step guide to building an AI sales agent that qualifies leads, follows up, and books meetings — and ships to production the same day.
Connecting AI agents to Slack: patterns and pitfalls
How to put an AI agent in Slack the right way — channel vs DM vs thread behavior, when to engage, multi-bot etiquette, and the security model that keeps it safe.
From chatbot to agentic app: upgrading your support bot
Your support chatbot deflects but doesn't resolve. Here's how to upgrade it into an agentic app that takes real actions across channels — and what changes when you do.
How AI agents cut customer support response time
Where support time actually goes — and how an AI agent that answers, acts, and escalates cleanly cuts first-response and resolution time without dropping quality.
9 enterprise AI agent use cases that actually ship
Beyond the hype: nine concrete, production-ready use cases for enterprise AI agents across sales, support, ecommerce, and operations — and what each one needs to work.
The real cost of building AI agents in-house
The agent logic is the cheap part. A clear-eyed look at the full cost of building an enterprise AI agent platform in-house — and when buying is the better call.
Proactive vs reactive AI agents: why scheduled agents win
Most AI 'agents' only react to a prompt. The real leverage is proactive agents that act on a schedule — following up, monitoring, and reporting before anyone asks.
AI lead qualification: a practical guide
How AI agents qualify inbound leads in seconds — engaging instantly, asking the right questions, scoring, and routing — without the lead-response delay that kills conversion.
How autonomous agents hit daily sales goals
An AI agent that owns a daily sales target — reviewing the numbers, deciding when to promote, and launching offers on its own. How the pattern works, and how to keep it in control.
AI agent orchestration explained
How multiple AI agents coordinate to get work done — delegation, durable jobs, hand-offs, and shared state — without a brittle workflow engine. A clear, practical explainer.