AI workflows attached to real product jobs.
RAFBUG integrates retrieval, assistants, structured tools, and automations where they improve an existing product flow.
Buyer problem
AI features fail when they are treated as isolated demos instead of parts of a usable, observable product workflow.
Scope of work
A complete path from product problem to shipped result.
Outcomes
- 01
A focused AI workflow tied to a clear user task
- 02
Structured inputs, outputs, and tool calls
- 03
Fallbacks and guardrails for operational use
Deliverables
- 01
Retrieval-aware product interfaces
- 02
Assistant and agent-style workflows
- 03
Structured prompts, tool calls, and API routes
- 04
Operational fallbacks and usage-aware design
Working process
Direct decisions. Visible progress. A shipped finish.
- 01
Identify the task where AI changes the outcome
- 02
Define tools, guardrails, and fallback behavior
- 03
Integrate and verify the workflow in product context
Proof in shipped work
See the capability inside real products.
SaaS / filmmaker platform
2025 / LiveFilmmakers Hub
A public product centered on a script-to-call-sheet workflow, supported by a project library and role-based collaborator invites.
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