Blog
Analogies and real architecture behind building AI agents with Wetel.
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Order support for an online shop: what the AI employee does, step by step
A walk through our documented order-support recipe: how an AI employee looks up an order, answers product questions from the shop's own material, where it stops, and where the shop's staff stay in charge.
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Why we label everything live, being built or direction
A demo shows where a product is going; a contract needs what works today. Why we mark every capability with its tense, how to test any vendor's claims the same way, and five questions to ask before you sign.
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When an AI employee fails, what does the customer see?
A system is down, a step errors, a customer sends something the workflow cannot use. Here is what a Wetel AI employee says by default, how to route a failure to a reply you wrote, and where the real reason is recorded.
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What are credits, and what do they not promise?
Credits are a unit for reading your AI usage, and each plan has a monthly spend ceiling checked before work starts. Here is what is metered, how to read it, and what credits do not promise today.
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A first-week plan for your first AI employee
Treat your first AI employee like a new colleague's first week: one narrow job, a written procedure, the right documents, a manager's sign-off where it matters, a rehearsal, a small start and a daily review. A plan, not a guarantee, with what is live in Wetel today and what is not.
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Why am I getting rate-limit errors?
A rate-limit error means one operation was called more often in its time window than Wetel allows. Limits are counted per calling address, so every customer behind one backend shares the count. Here is what to do.