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Archives 2026

Invoice extraction begins with a field definition, not a promise to read every document perfectly. Suppliers use different layouts, labels and number formats.

The decision to make

Decide which fields are required for the downstream task and which need a reviewer. Preserve the link between extracted values and the original document.

Practical checklist

  • Define supplier, date, reference and amount fields.
  • Check totals and ambiguous number formats.
  • Route missing or conflicting values for review.

An illustrative example

An invoice date and a payment due date are not interchangeable. A field dictionary helps prevent a plausible but incorrect mapping.

Your next step

Test with representative supplier documents before connecting extracted results to a production accounting process.

AI-assisted planning guide published by Prime Pixels. Examples are illustrative, not customer case studies. Project scope and applicable requirements must be checked for your circumstances.

AI operating costs can vary with request length, retrieval, repeated attempts and usage volume. A development quote should distinguish implementation work from running costs.

The decision to make

Map the operations behind a user request. Set controls that reflect expected use without silently preventing essential tasks.

Practical checklist

  • Define per-user or workspace usage limits.
  • Monitor failed requests and unnecessary retries.
  • Explain what users see when a limit is reached.

An illustrative example

A long document attached repeatedly can consume more resources than a short question. The interface should make supported input sizes clear.

Your next step

Agree cost ownership, monitoring and limit behaviour before opening access to a larger user group.

AI-assisted planning guide published by Prime Pixels. Examples are illustrative, not customer case studies. Project scope and applicable requirements must be checked for your circumstances.

A demonstration using a few easy questions does not establish reliability. Evaluation needs examples that reflect real users, difficult wording and boundaries.

The decision to make

Define what counts as a good answer before comparing versions. Record accuracy, source support and whether the response respects permissions.

Practical checklist

  • Build a representative review set.
  • Include sensitive-access and out-of-scope cases.
  • Keep a record of failures and the changes made to address them.

An illustrative example

An assistant may answer a public FAQ correctly but reveal restricted internal information to another role. Both behaviours belong in the review.

Your next step

Release to a limited audience with feedback and escalation routes before relying on the assistant for broader workflows.

AI-assisted planning guide published by Prime Pixels. Examples are illustrative, not customer case studies. Project scope and applicable requirements must be checked for your circumstances.

An unsupported answer can sound convincing. A useful assistant must recognise when the available material does not justify a response and make the limitation visible.

The decision to make

Design an explicit fallback for missing, conflicting or restricted information. Refusing to guess is a product behaviour that should be tested.

Practical checklist

  • Include questions absent from the source collection.
  • Test ambiguous questions and conflicting documents.
  • Offer a human contact or a request for clarification.

An illustrative example

If a customer asks for an exception that is not covered by an approved policy, the assistant should not invent authorisation.

Your next step

Measure unsupported-answer behaviour alongside successful answers; a polished response alone is not evidence of correctness.

AI-assisted planning guide published by Prime Pixels. Examples are illustrative, not customer case studies. Project scope and applicable requirements must be checked for your circumstances.

An assistant cannot reliably explain a policy when its source collection contains outdated or contradictory versions. Document preparation is part of the product, not a one-time upload task.

The decision to make

Identify the authoritative version and owner for each subject. Separate content by audience and permissions before indexing it.

Practical checklist

  • Remove obsolete duplicates or clearly label their status.
  • Preserve useful headings and document context.
  • Set an update process when source material changes.

An illustrative example

Two versions of an expenses policy may give different limits. The assistant needs a rule for choosing the current approved source rather than blending both.

Your next step

Maintain a source inventory that records ownership, approval status and the next review date.

AI-assisted planning guide published by Prime Pixels. Examples are illustrative, not customer case studies. Project scope and applicable requirements must be checked for your circumstances.

A good first assistant project has a clear audience, a bounded information source and a result that someone can evaluate. A vague request to automate everything is difficult to test.

The decision to make

Look for repeated questions with accessible, reliable answers. Avoid beginning with decisions where an unchecked mistake would cause substantial harm.

Practical checklist

  • Collect representative questions and expected evidence.
  • Name the person responsible for source quality.
  • Define which requests should be handed to a human.

An illustrative example

An internal guide to locating approved procedures is easier to scope than an assistant authorised to make every operational decision.

Your next step

Write the task, boundaries and acceptance checks before selecting a model or designing the chat interface.

AI-assisted planning guide published by Prime Pixels. Examples are illustrative, not customer case studies. Project scope and applicable requirements must be checked for your circumstances.

Store preparation involves more than exporting a build. Reviewers and customers need accurate information about the app, its access requirements and data handling.

The decision to make

Assign responsibility for developer accounts, store assets and policy disclosures. Requirements should be checked against the relevant store before submission.

Practical checklist

  • Prepare screenshots that match the released experience.
  • Provide permitted review access when required.
  • Check support links, privacy information and release notes.

An illustrative example

If a login is necessary to see the main feature, an incomplete review-access arrangement can delay assessment even when the app works internally.

Your next step

Treat submission as a release milestone with dependencies; do not promise approval or a fixed review time.

AI-assisted planning guide published by Prime Pixels. Examples are illustrative, not customer case studies. Project scope and applicable requirements must be checked for your circumstances.

Push notifications should serve a clear purpose and reflect the user's preferences. Sending every product event as a notification can make important messages easier to ignore.

The decision to make

Separate operational messages from optional engagement messages. Plan what happens if notifications are disabled or delivery is delayed.

Practical checklist

  • Explain the benefit before requesting permission.
  • Link each message to the relevant screen.
  • Provide preference controls and an alternative way to find essential information.

An illustrative example

A booking update should open that booking rather than the generic homepage. The same information should remain visible inside the app.

Your next step

Review frequency, relevance and fallback behaviour as part of the notification design, not after release.

AI-assisted planning guide published by Prime Pixels. Examples are illustrative, not customer case studies. Project scope and applicable requirements must be checked for your circumstances.

Offline support is more than displaying cached screens. The application must explain which information is current and what happens to changes made without a connection.

The decision to make

Decide which tasks can safely continue offline. Operations involving shared availability or payment may require an online check before confirmation.

Practical checklist

  • Label cached information and pending changes.
  • Define conflict handling when records change elsewhere.
  • Test reconnecting after a partially completed task.

An illustrative example

A field note can be queued for upload, while a limited booking slot may not be safely confirmed offline. Treat those operations differently.

Your next step

Document the rules for saving, synchronising and resolving conflicts before implementing offline features.

AI-assisted planning guide published by Prime Pixels. Examples are illustrative, not customer case studies. Project scope and applicable requirements must be checked for your circumstances.

A first release should complete a useful customer journey, not display every idea in a roadmap. Features without operational support can make the initial product harder to use.

The decision to make

Choose the core task and define its beginning, completion and failure states. Defer features that do not help validate that task.

Practical checklist

  • Write a single end-to-end user scenario.
  • Include account recovery and support needs.
  • Define how the team will know the task was completed correctly.

An illustrative example

For an appointment app, selecting a service is insufficient without confirmation and a way to handle unavailable slots. The journey matters more than the screen count.

Your next step

Produce a release scope with acceptance examples and a separate list of later possibilities.

AI-assisted planning guide published by Prime Pixels. Examples are illustrative, not customer case studies. Project scope and applicable requirements must be checked for your circumstances.

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