Product management for agentic engineering
Faster engineering changes what is worth building. How product discovery, engineering context and outcome measures help teams choose better investments and follow through after release.
Insights
Explore better ways to build products, connect business systems and put AI to work.
Product and technology decisions
The “Company Brain”: Who Owns the Truth in Your Business?
Who maintains the knowledge an AI system depends on? A look at ownership, permissions and the responsibilities behind the promise of a company brain.
Why Anthropic Became a Liability for the Pentagon
An analysis of the Anthropic–Pentagon dispute and the governance questions it raises when a technology provider's safety rules become part of a public institution's operating decisions.
Forward deployed engineering
How product discovery guides forward deployed engineering
Engineers working directly with customers need more than a feature request. How discovery, usage data and evaluations guide what gets built and what happens after release.
How to build an FDE practice
What a software company or development firm needs to deliver FDE consistently, from hiring engineers with discovery skills to training the team, staffing engagements and improving shared delivery tools.
How to scope an FDE project
Define a measurable outcome, delivery boundaries and customer access. Agree who can change the plan and how results will be reported as the team learns.
How to structure an FDE engagement
Compare ongoing service agreements, retainers and implementation projects. Set fees, responsibilities and review points that give the team room to learn and improve.
AI implementation
What Is Managed AI Operations?
What happens after an AI workflow goes live? The ongoing work of monitoring behavior, managing model changes and costs, and tracing problems back to their source.
Enterprise AI Runs on Trust, Not Just Automation
A perspective on the reliable records, data governance and traceability needed for AI to take a more active role in business operations.
How We Built a Multi-Agent System for Strategic Research
An account of Big Robot's own research system: how agents with different roles use shared files and existing tools to coordinate research and retain context.
Let's talk about what you need
Tell us the business goal or engineering challenge you're working on. We can discuss where Big Robot can help.