The TeamSpec reference implementation. An executive AI assistant that demonstrates every dimension of the specification working end-to-end — calendar, research, messaging, delegation, and full observability.
Siggy is not a product demo. It is a working reference implementation of the TeamSpec specification — built to show that the 7 dimensions of enterprise-grade agent design are achievable together, not just in isolation. If you want to understand what a TeamSpec-compliant agent looks like in practice, Siggy is the answer.
Schedules, reschedules, and protects calendar time. Books internal meetings autonomously. Flags conflicts. Prepares agendas. Manages availability across time zones.
Researches projects, topics, customers, and prospects on demand. Synthesizes findings into structured briefings. Delegates deep-dive tasks to specialized sub-agents.
Drafts messages in the executive's voice. Sends approved communications. Manages response queues. Escalates when human judgment is required.
Monitors the pipeline for stalled opportunities. Identifies impediments blocking progress. Surfaces patterns across deals, projects, and teams with recommended actions.
Delegates tasks to both specialized AI sub-agents and human team members. Tracks completion. Follows up. Escalates overdue items. Closes the loop.
Coordinates logistics for meetings across internal and external participants. Prepares pre-read materials. Captures action items post-meeting. Ensures nothing falls through.
The TeamSpec specification defines 7 dimensions that separate enterprise-grade agents from prototype-grade agents. Siggy is built to demonstrate all 7 — not abstractly, but through specific, observable behaviors.
"Prepare me for Thursday's board meeting" is not a single task. Siggy decomposes it: pull relevant board materials, research open action items, check calendar conflicts, identify attendees needing pre-briefs, synthesize everything into a structured briefing. Each sub-task is tracked independently with its own completion state.
Siggy knows what it can do without asking and what requires approval before acting. Booking internal meetings: autonomous. Sending an external commitment on behalf of the executive: requires explicit approval. Authority boundaries are configured in AgentHub and enforced at runtime by Forge — not hardcoded in the agent itself.
Data access is scoped: Siggy sees what it needs for the current task and nothing more. Message dispatch has thresholds — low-stakes internal messages proceed automatically, external communications require review. CRM data access enforces privacy guardrails that prevent exposure of sensitive deal or contact information outside approved contexts.
When a calendar API fails mid-task, Siggy detects it, queues the dependent actions, retries with exponential backoff, and notifies the user with current status — rather than silently failing or producing a partial result that looks complete. Every failure path has a defined behavior. No silent degradation.
Siggy communicates outcomes in plain, actionable language: "Thursday brief ready: 3 open actions, 2 calendar conflicts resolved, 1 item needs your decision — approve the vendor contract extension." No logs. No jargon. No status that requires interpretation. The human always knows exactly where things stand and what is needed.
Complex tasks don't block. Siggy delegates to specialized sub-agents — a research agent, a calendar agent, a messaging agent — and runs them in parallel via Forge pipelines. The orchestrator waits for results and synthesizes. This architecture scales to arbitrarily complex tasks without degrading quality or response time.
Every action Siggy takes is logged: what it decided, what tools it called, what data it accessed, what it sent, and what it deferred. The audit trail is complete and queryable. If something goes wrong — or if a compliance team asks what happened on a given day — the answer is always available.
FastBytes conducted a head-to-head evaluation of three platforms implementing executive assistant functionality equivalent to Siggy — scoring each against the 7 TeamSpec dimensions. Results were close where it mattered.
Strongest on authority management and trust/safety — the dimensions most directly shaped by building against a spec. Gaps in task decomposition flexibility and communication clarity. Best overall score among the platforms evaluated.
Strongest on task decomposition, failure handling, and scalability — reflecting a mature ecosystem with LangGraph and LangSmith. Authority management required significant custom implementation. Strong with investment; weak out of the box on compliance dimensions.
Strongest on communication clarity — bespoke builds can be tuned exactly to an individual's preferences. Critical gaps across authority management, trust/safety, failure handling, and observability. Excellent for personal use; not viable at enterprise scale without major additional investment.
The full case study details evaluation methodology, per-dimension scores, and implementation guidance for each platform.
Read the Full Case Study →The TeamSpec specification is open source. Everything Siggy demonstrates — the 7 dimensions, the AgentHub config structure, the Forge execution model — is available for you to implement against. Build your own executive assistant, your own operations agent, your own research agent — to the same standard.
The full TeamSpec specification lives on GitHub. It defines all 7 dimensions in precise, implementable terms — not abstract principles but concrete, testable requirements.
Read the Spec →The Siggy codebase is open source. Read the implementation to see how each dimension was built — the authority management config, the failure handling patterns, the observability instrumentation.
github.com/teamspec/siggy →AgentHub and Forge are the infrastructure layer that Siggy runs on. They are both open source and available for you to self-host today. Start with the tools, not just the spec.
Explore AgentHub + Forge →FastBytes.io implements TeamSpec-compliant agents for enterprise clients. If you want to ship a Siggy-grade agent faster than building it from scratch, the FastBytes team can help.
Visit FastBytes.io →Siggy demonstrates that enterprise-grade AI agents are achievable today — not someday. The TeamSpec specification, AgentHub, and Forge are everything you need to build to the same standard. Open source. Free to use. Production-ready.