Bounded autonomy
Set node, agent, recovery, and wall-clock limits. The engine stops work at those boundaries and surfaces the reason for review.
Hard budget envelopesInvestigate a market. Return every Monday.
Build deep researchers and recurring automations with agents that work together.
From a recurring automation to a layered research agent: choose the roles, logic, and review your work needs.
Define the process once. Adapt it as the work changes.
Real workflows, used to build Inflara.Explore 3 workflow types · select one to see it run
Create a workflow for recurring tasks, from document review to support triage. Build visually or ask Inflara Assistant. Choose your agents, edit every step, and reuse the process.
Add loops, if/else decisions, parallel branches, and joins. Repeat a source check, route an uncertain case to review, and define what must pass before the next step.
Build a deep researcher with discovery, parallel diligence, evidence weighing, independent challenge, and synthesis. Or compose a different purpose-built agent with specialist teams and reusable subflows.
These graphs come from Inflara’s own development workflows. The animation walks through their structure; open the original screenshots to inspect them.
[02 / FROM INTENT TO EXECUTION]
Now put the workflow in motion. Watch Inflara Assistant compose a daily support-triage automation, assign its supervisor, and follow it through recovery and review. This story uses scripted sample data.
Create a reusable daily support-triage workflow: classify and deduplicate tickets, draft replies, and route sensitive or uncertain cases for human review. Balance model cost and performance; assign a supervisor.
Inflara Assistant is waiting for the sample request.
Sample inbox inputs become triage results, reply drafts, and a human-review queue.
Supervisor assigned before execution
Scope, model choices, limits + review
Sample request: create a reusable daily support-triage workflow.
Reusable automation, illustrated with sample inbox data. Confidence is worker telemetry, separate from tests and review. Human approval is scripted; no real agents, email delivery, or scheduled runs occur.
A capable model is a starting point. Inflara preserves the process around it: who acts, which inputs travel, what must pass, and when a person decides.
Layer parallel investigations, evidence checks, and independent challenge into a process you can inspect and run again.
| The process you need | Managing individual sessions | With Inflara |
|---|---|---|
| Repeatability | You reconstruct the process for the next request. | Save an editable workflow and reuse its roles, inputs, rules, and review gates. |
| Specialist depth | You direct each investigation and handoff. | Connect parallel researchers, source checks, synthesis, and independent review in one graph. |
| Definition of done | You check the output and decide what comes next. | Configured verification gates route passing work forward and failures into repair. |
| Failure ownership | You diagnose a stop and restart the work. | Typed failures give recovery steps and the supervisor a clear reason to act. |
| Cost and control | You manage limits across individual sessions. | Run budgets bound nodes, agents, recovery attempts, and elapsed time. |
| Continuity | You move context between tools and runs. | Structured handoffs, durable conversations, and verified run memory preserve the thread. |
Work with configured agents including Codex, Claude Code, and Antigravity. The reusable process stays in Inflara.
Read the white paperThe sample run shows the pattern. Your workflow defines the boundaries: permissions, exit conditions, repair paths, and the evidence that lets work move forward.
Inside the orchestration engineSet node, agent, recovery, and wall-clock limits. The engine stops work at those boundaries and surfaces the reason for review.
Hard budget envelopesRoute repairable failures through declared recovery paths and back to their acceptance checks. Preserve context, and surface budget or permission blockers for human action.
Typed failure routingPlace approval gates in the graph, inspect decisions and artifacts, and let the supervisor escalate work that needs human judgment.
Approval gates + traceabilityRun agents through paired runners with the tools, skills, and project context you configure. Carry structured artifacts between steps. Coding workflows can also use isolated Git worktrees.
Configured capabilities + structured handoffsConnect planning and orchestration through scoped MCP and REST interfaces. Validate workflow contracts, dispatch work, inspect run state, and answer agent interactions programmatically.
MCP + REST + validated contractsInspect run evidence and use the evaluation harness for supported agent configurations. Compare reliability, consumption, latency, and recovery separately when choosing which roles and model settings to reuse.
Evaluation harness + outcome evidenceTHE NEXT RUN
Completed runs preserve decisions, repair lessons, and verified evidence for the next research question or operational batch.
When enabled and enough comparable verified runs exist, routing can use that evidence. Automatic selections explain their basis; manual choices remain yours.
Plan your week, protect time for focused work, and let agents take the next step. Your calendar, tasks, projects, and conversations stay connected.
Make room for the work that matters.
Try AI planning, adjust your calendar, follow tasks across views, and hand research to agents. All actions use sample data.
Try a workflow request, inspect the proposal, and approve or revise the next action. The conversation stays connected to the workspace.
Describe the outcome you want to repeat. I’ll prepare the roles, handoffs, and review gates for you to inspect.