Multi-Agent Systems Development

When the workflow has distinct stages that need different skills, tools or verification — planning, execution and review, for example — or when one context window cannot hold everything the task requires. If a single well-tooled agent can finish the job reliably, we will say so: multi-agent architecture adds coordination cost, and it has to earn its place.

With hard limits enforced outside the model: per-run token budgets, recursion depth caps, wall-clock timeouts and runaway-loop detection that halts a workflow and pages a human. Spend and step counts are logged per run, so cost anomalies show up in monitoring rather than on the invoice.

Through typed, validated message schemas rather than free-form text. Each handoff carries a defined structure — task, inputs, evidence, confidence — so a malformed handoff fails loudly at the boundary instead of silently corrupting downstream work, and every exchange is replayable during debugging.

The topology defines an arbiter — usually the orchestrator or a critic agent — plus explicit failure routes: retry with narrowed scope, degrade to a simpler path, or escalate to a human with the full decision trace attached. Disagreement and failure are designed states, not exceptions.

The design and build of systems where several AI agents with different roles — planner, executor, verifier, specialist tools — cooperate on a workflow under an orchestrator, with budgets, guardrails, shared memory and an evidence log of every action. Services cover use-case selection, orchestration architecture, tool and permission design, evaluation harnesses, deployment inside your systems and handover to your team.

Each agent has its own identity and a typed action surface, so a control plane or kill switch can target it individually; every tool call is logged with inputs, outputs and reasoning; irreversible actions require approval; and state is checkpointed so a halt or rollback leaves the world consistent. These are built in from the first sprint because governance tooling can only manage agents that expose them.

Yes. Masarrati does not build gambling or betting products of any kind — no casino platforms, sports betting, lottery, sweepstakes, prediction markets, or loot-box mechanics — whether as a full product, a feature, or an integration. Masarrati also does not build interest-based (riba) financial products: no lending apps, credit products, or platforms whose revenue depends on charging interest, on web, mobile, or any other platform. These are firm ethical commitments, not capacity constraints. For interest-free finance, we actively build Sharia-compliant fintech — Murabaha and Ijara structures, Takaful models, and Zakat tooling.