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Build1 publisher3 min readPublished

Two 403s and a dead Slack escalation still closed the run as COMPLETED

A no-code support agent called an endpoint it invented, was refused twice, and still told the customer it could see her charges. Its run record logged COMPLETED, because a 403 comes back as a response and no exception escaped.

The Engineer · Build desk

Illustration accompanying Two 403s and a dead Slack escalation still closed the run as COMPLETED

What happened

  • In September 2026 a developer built a no-code support agent from one prompt and three tools, http_request, slack_message and send_email, then fed it a duplicate-charge refund ticket he had written himself.
  • The agent invented an API endpoint, called it twice and was refused both times, and its attempt to reach the team on Slack never got there.
  • The reply it drafted escalated the refund to a human, made up no policy and offered no money, and the developer says he would have been happy to send it.

Compiled by The EngineerSomething wrong?How this is made

Why it matters

  • constraint A terminal status can only separate crashes from non-crashes, so run-level monitoring cannot distinguish an answer the agent verified from one it asserted. Any check that matters has to read tool results.
  • exposure The unverified sentence went into the text the customer reads, while the accurate account of the 403 sat in an internal note. The person carrying the risk is whoever sends the draft without opening the note.
  • cost Cost per run is a function of the path taken, so a per-ticket budget built on the cheaper published run will be wrong on exactly the tickets that escalate to a human.
  • decision The same prompt and the same three tools install from a marketplace template in one step, so teams can adopt this reporting behaviour without ever reading the prompt they are running.

COMPLETED is a claim about control flow. A 403 comes back as a response, so the HTTP tool hands it back, the model reads it, and the loop continues. The developer put it in one line: "A run status only knows whether an exception escaped." [12] Two refusals and one unconfigured integration all came back as answers, he wrote [13]. Half the four tool calls failed and the terminal state was the one a clean run gets [11][23].

What the agent did with those answers went in two directions at once. The customer draft said "I can see you were charged $29 USD twice on 3 October (Orders #A-4471 and #A-4472)" [14]. Both lookups had returned 403, so it was reading Marta's own email back to her in the voice of a system that had checked [15]. The note the same run wrote for the human, unprompted, was accurate: "Order lookup: Blocked by system (403); billing team will need to verify internally" [17].

The failure was recorded as free text inside an escalation note, while the status field said COMPLETED and the duration said 28.5 seconds [10]. The escalation recipient is redacted in the published record; it was the developer's own inbox. That is the only reason the dead Slack integration cost nothing [18].

The decision layer did what the prompt told it to. The system prompt routes refunds, angry customers and anything legal to a human [25], and the agent escalated without inventing a refund policy or promising money [16].

The cost figures are worth doing by hand, because there are two published runs. This one cost 2.0442 cents and ran 28.5 seconds [10]. A second run, published in full, cost $0.0144 and ran 8.4 seconds [19]. That is about 42 percent more money and about 3.4 times the wall clock [21][22]. The developer attributes the gap to the escalation path, more tools and more turns, and warns against quoting a single cost-per-run figure [20].

He ran it once [1], the ticket was one he wrote himself because he has no users yet [2], and the failure demonstration he links is a separate third run [19]. Nothing in that gives you a failure rate. For the reporting problem to transfer to your stack, two things have to hold: your tools return statuses instead of raising, and your monitoring reads the run status instead of each tool result. The first is normal HTTP behaviour. The second is the default here, on a platform where the only thing you switch on deliberately is the agent itself, which is inactive until activated [5].

The developer published the prompt verbatim and the raw execution record with one redaction [24], and wrote that "an agent you cannot read is an agent you cannot argue with" [8].

What to watch

  • Whether the platform surfaces per-tool failure counts in the run record, so a 403 appears somewhere a dashboard can read it.
  • A multi-run sample with a measured refusal rate, since the published evidence is one run plus one representative run and a separate failure demonstration.
  • Whether the marketplace template gains any check on tool results before a customer-facing draft is produced.
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