Stonehook Software builds AI agents that live inside real workflows, not generic chatbots. An AI agent is a purpose-built assistant designed to help a person or team complete a specific job faster, more consistently, and with better clarity. Agents can support daily operations, reporting, internal knowledge questions, and repeatable business tasks where quality and consistency matter.
Our agents are built with boundaries, structured methods, and verification habits so they remain useful in real business environments. The goal is simple. Reduce friction, improve consistency, and make adoption practical and safe.
We build agents for specific roles, workflows, and business outcomes. Engagements typically start with a scoped pilot, then expand into a reusable system your team can maintain and grow.
Common delivery options:
AI agents are well suited for teams with repeatable work, high-volume tasks, and a need for consistent, reliable outputs. They are especially effective where clarity, accuracy, and efficiency matter more than experimentation.
If your organization wants to reduce manual effort, improve consistency, and introduce AI support without losing human oversight or control, AI agents are a strong fit.
We build AI agents that turn recurring work into structured, reusable workflows and templates. These agents support day-to-day business tasks such as drafting, analysis, preparation, and process execution.
By embedding clear structure, standards, and verification habits, workflow agents help teams move faster while maintaining quality and reducing rework.
Knowledge and policy agents help teams quickly find accurate answers from internal documentation, policies, procedures, and standards. Instead of searching across files or asking the same questions repeatedly, teams get clear, consistent responses aligned to approved sources.
These agents reduce back-and-forth, improve alignment, and help teams make informed decisions with greater confidence.
Reporting and executive summary agents help teams turn raw information into clear, structured updates that are easy to review and act on. These agents support recurring reporting needs such as weekly summaries, status updates, leadership briefings, and decision inputs.
By standardizing format, tone, and verification habits, reporting agents reduce time spent rewriting and reformatting while improving clarity and consistency for leadership and stakeholders.
Crew Chief is Stonehook Software’s advanced AI agent built into Throttle League. It is designed to operate inside a real product environment where users make decisions, compete, and interact as a community. This is not a chatbot sitting on the side. Crew Chief is integrated into the user experience and built to support race-week thinking with clarity and context.
Crew Chief helps users plan their race week, spot smarter picks earlier, and avoid common trap scenarios before they cost points. It can explain why a pick is high upside or high risk using plain language, and it supports different play styles, from conservative consistency to aggressive strategies.
One of the most uncommon parts of Crew Chief is that it can interact with Throttle Hub community feeds. That means it can incorporate relevant discussion signals and emerging narratives alongside the underlying race-week context. This creates guidance that feels more situational and timely, without forcing decisions or removing user control.
Crew Chief demonstrates how Stonehook builds agents that operate with boundaries, structure, and responsibility. It is a real, working example of an AI agent embedded into a complete ecosystem that includes data, user workflows, and community interaction.
GenE TA is Stonehook Software’s AI teaching assistant and business workflow engine used across our AI Business Training programs. GenE TA is designed to turn real business questions into reusable templates and structured workflows during guided practice. It is not a generic training tool. It is built to produce usable assets that teams can keep using after training ends.
GenE TA helps reinforce the Structured Conversation Method and Safe Input Guidelines, improving clarity and consistency across participants. During sessions, it supports moderated Q and A, guided workflow creation, and practical pattern building so teams are not guessing their way through adoption.
GenE TA is especially effective at helping teams convert recurring tasks into repeatable workflows, such as drafting, analysis, reporting, and internal communication. It supports formatting standards, verification habits, and structured outputs so the results are easier to trust and easier to reuse.
Most training programs stop at concepts. GenE TA is part of why Stonehook training produces real deliverables. It accelerates learning, makes outcomes more consistent, and helps teams leave with a Workflow Library that can expand over time.
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