Galactus insights

Practical guides for production AI work.

Clear answers for teams that need to choose the right delivery model, control the risk, and move one workflow that is worth fixing into production.

Forward-deployed engineering7 min read

What is a forward-deployed engineer, and do you need one?

Learn what a forward-deployed engineer does, how the role differs from consulting, and when an embedded AI engineer is the right choice.

Read guide

Hiring8 min read

A practical guide to hiring a forward-deployed AI engineer, from choosing the first workflow to checking delivery skills and ownership terms.

Read guide

Comparisons6 min read

Compare AI consulting with forward-deployed engineering and choose the right model for strategy, validation, or production delivery.

Read guide

Comparisons5 min read

Understand the difference between a forward-deployed engineer and a solutions engineer, including ownership, timing, and the work each role does.

Read guide

Hiring6 min read

Compare an in-house AI automation engineer with an external AI agency and choose based on workload, speed, context, and ownership.

Read guide

AI implementation8 min read

A clear guide to AI implementation, including workflow discovery, architecture, data, evaluation, controls, rollout, and ownership.

Read guide

AI implementation7 min read

Understand the cost of AI implementation, the main cost drivers, and realistic budget ranges for a sprint, MVP, or wider scale-up.

Read guide

Buying guide8 min read

Use this practical checklist to choose an AI implementation partner that can ship production work and transfer it to your team.

Read guide

AI implementation8 min read

Move an AI pilot into production with a clear workflow boundary, real integrations, evaluation, controls, rollout, and ownership.

Read guide

Decision guide7 min read

Choose between an AI agent and standard workflow automation by looking at variability, judgment, risk, and operating cost.

Read guide