// workshaped.ai/build

Agentic flows, with the wiring showing.

For builders who are fluent in AI. Architectures from real client work and our own lab, with the access model, the guardrails and the failures. Patterns marked "in progress" aren't written up yet.

reconciliation-agent · scope: read-only
$ run reconcile --jobs completed --files weekly
→ load surcharge rules          ok
→ match jobs match jobs ↔ payment files     lt;-match jobs ↔ payment files     gt; payment files ok
→ missing surcharge lines      9 jobs
→ total not yet seen          $900.00
→ write access                 none (by design)
# files carry no pay dates → label "not yet seen"
✓ claim list ready for human review

Autonomy model

Four levels. We ship at level one.

Capability isn't the bottleneck. Human understanding is. Each pattern is tagged by the level it actually runs at.

L1Read-onlyWatches, matches, reports
L2SuggestDrafts; a person decides
L3Act w/ approvalOne click to execute
L4AutonomousWithin guardrails, once trusted

Patterns

Blueprints you can lift

Every Blueprint is now a no-code prompt pack. Each one also comes with an optional developer kit for technical users, built on the patterns below. Sales are paused while we finish checking the new packs.

All agentic ideas →
guardrails.md
# the rules our setups start from
1. read-only credentials, scoped per source
2. untrusted content (emails, portals) never triggers actions
3. anything external (send, post, pay) needs a human
4. label uncertainty honestly: "not yet seen" ≠ "never paid"
5. log every run so findings can be audited

The weekly use case

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One real job an AI can help with, the prompt we tested and what to watch out for. Free, by email. Unsubscribe any time.

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Want one of these built for your business?

Workshaped designs AI systems around how your team actually works. We start read-only, prove the value, and only then talk about autonomy.

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