Workflow agents
Agents that gather context, draft outputs, route requests, and keep humans in the loop where judgment or approval matters.
Workflow-specific agents and automations built around the tools, review paths, and constraints your team already uses.
Scoped one fixed fee, quoted after enablement · see how it worksA custom AI agent is a system that gathers its own context, takes bounded actions in your tools, and stops for a human at the points where judgment matters. We build them for teams in Tampa Bay and remotely.
Agents that gather context, draft outputs, route requests, and keep humans in the loop where judgment or approval matters.
Repo-aware workflows for documentation, issue triage, code review, implementation loops, and the repetitive engineering tasks that slow builders down.
Clear ownership, prompts, system instructions, and operating notes so the system can keep improving after the initial build.
A useful agent needs more than a model call. It needs the right context, permissions, tools, review points, and failure path. It also needs to fit the way the team already works.
We build agents and automations around those details. That can mean customer follow-up, internal research, document generation, coding-agent workflows, or recurring operations work that should not be rebuilt by hand every week.
Three builds, each starting from a workflow someone was doing by hand.
Expense submissions and event requests at a fund of funds moved from manual document handoffs into AI-assisted workflows with defined review paths. Read the spARK Labs study.
A remote MCP server connected Claude directly to the tools an operations team already used. Read the MCP study.
Agents read the app, explained features, made focused edits, and ran checks across a product build. Read the BeBrief study.
A workflow audit. We map the real inputs, decisions, tools, review points, and failure modes of one workflow before proposing any system. If the audit shows the work does not need an agent, we say so.
No. Agents are built around your existing stack, permissions, and approval paths. Connecting to those tools is usually done with an MCP server rather than by moving your team onto something new.
Your team. Every engagement ends with the prompts, system instructions, documentation, and operating notes handed over, so the people who own the workflow can keep changing it without us.
We are based in Tampa, Florida and work on-site with teams across Tampa Bay, St. Petersburg, and Clearwater. Remote engagements run the same way, with the embedding phase done over video.
We will help decide whether it needs a workflow automation, a custom agent, an agentic coding system, or a simpler enablement session first.
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