Lessons from building and evaluating real agent workflows
Document review, finance copilots and tax-workflow development reveal different ways an agent can sound right and still fail. These lessons shape Tensile’s product, from investigation through outcome evidence.
Each field note follows a failure mechanism, the evidence needed to distinguish it, a counterexample that challenges the fix and the product behavior it informs. The examples are anonymized reconstructions, not published customer results.
01
Coverage and interpretation before checklist correctness.
02
Question binding and derivation beyond citations.
03
Content identity, human handoffs and independent effects.
Document review
A clean queue can hide an obligation that never became a finding.
Read the field note ↗
File reconciliation
The same content can arrive through different senders and threads.
Read the field note ↗
Start with an affected customer job, the expected result and the evidence your team would accept.
Discuss a concrete workflow ↗
AI reliability, from production to customer outcome.