Practical guides on building, integrating, and operating AI agents in real products.
· 11 min read
AI agent prompt injection security breaks down when a team treats untrusted content as a text-cleaning problem. Build the system so manipulated model output cannot cross authorization, data, or side-effect boundaries unchecked: six explicit boundaries from source to effect, each enforced by deterministic controls the model cannot override.
Read the guide →
· 10 min read
An agent may pass every demo and fail on the first customer request outside the happy path. Checking the final answer will not reveal a bad tool choice, unauthorized side effect, or missing recovery step. Turn each confirmed production failure into a versioned, replayable case with tool-call checks, release gates, and rollback rules.
Read the guide →
· 10 min read
Stateful AI agents on Kubernetes can look healthy in single-pod tests, then lose their place when a Service routes the next request to another replica. Store durable run state outside the replicas, make resume idempotent with fencing tokens and action records, and test each workflow while forcing it to change pods.
Read the guide →
· 11 min read
Agent state management breaks when a product treats every useful fact as agent memory. A checkpoint, chat transcript, customer record, and remembered preference do not share an owner or lifecycle. Classify each value first: keep product facts under product services, use checkpoints only to resume, and treat long-term memory as derived data with provenance and expiry.
Read the guide →
· 10 min read
A valid tool call is only a well-formed request, not proof that the caller has permission. AI agent authorization belongs between the runtime and every product tool: decide with authenticated identity, tenant, tool, normalized arguments, and current state, then allow, narrow, defer, or reject.
Read the guide →
· 10 min read
Human in the loop AI agents break when the approval screen and the execution state drift apart. Approval needs its own durable workflow: store the exact proposed action, bind each decision to an authenticated approver and an immutable action version, and resume through an idempotent execution path.
Read the guide →
· 11 min read
Teams often choose a model and framework before they define the product workflow, and get demos that bypass permissions, hide partial failures, or cannot be reversed. Start with one workflow, give the agent only the authority it requires, and keep product rules in charge of identity and state changes.
Read the guide →
· 10 min read
Giving an agent direct access to a legacy API often produces the wrong action with valid JSON. Put a narrow contract between the model and the product: name one business action, bound its inputs, carry authorization context outside model control, and return a typed outcome.
Read the guide →
· 11 min read
AI agent error handling fails when a tool returns an error but the host workflow still records success. Give every run a typed outcome (ok, retryable, fatal, needs_human, cancelled), route it into the alerts and workflow status your product already has, and enforce hard retry, turn, time, and spend budgets.
Read the guide →
· 11 min read
An agent rollout strategy goes wrong when a team jumps from a convincing demo to live write access. Move one workflow through five stages (offline replay, shadow mode, suggestions, approval-gated actions, and bounded autonomy) with entry criteria, exit evidence, and rollback behavior for each.
Read the guide →
· 10 min read
Connecting a model to a legacy application is the easy part. Leave the existing system in charge of its records and business rules, add a narrow tool gateway instead of direct database access, and introduce agent access in stages: replay, shadow, read-only, approval-gated writes, then bounded autonomy.
Read the guide →
· 10 min read
An agent does not have to choose an action twice for your product to perform it twice. A practical design for idempotency keys, durable action records, retry rules, unknown outcomes, and compensation when agents call real product APIs.
Read the guide →Join the waitlist and we'll email you the moment it's ready. No sales call.