Introduction

AI copilots and agents win when conversation design, tool orchestration, and governance are built as one system. Zypsy is a design-and-investment team for founders that ships that system: brand-to-product UX, agent UX, and the engineering to make it real. We’ve delivered AI-forward work for founders across video creation, AI security, travel, and data infrastructure. See Captions, Robust Intelligence, Copilot Travel, Crystal DBA, Solo.io, and Covalent for proof points (Captions, Robust Intelligence, Copilot Travel, Crystal DBA, Solo.io, Covalent).

What we build for AI copilots and agents

• Conversation architecture

• Purpose, personas, intents, ontology, and guardrails

• System/prompt strategy, memory strategy, retrieval design, and fallback behaviors

• Task decomposition patterns (single-turn, multi-turn, mixed-initiative) and error recovery

• Tool/use orchestration

• Function-calling schemas, API/SDK integration, and dependency graphs

• Multi-agent routing patterns (planner–executor, specialist swarms) and human-in-the-loop steps

• Telemetry for tool success rates, latency budgets, and cost accounting per action

• Evaluation and reliability

• Golden test sets, offline/online evals, adversarial red teaming, and regression gates before release

• Production analytics: intent coverage, containment, deflection, and satisfaction signals

• Safety and governance

• Policy alignment, refusal/consent UX, PII minimization, and data retention posture

• Model/version inventory and change management; incident playbooks and rollbacks

• Enterprise-facing transparency and documentation; see our AI-security work with Robust Intelligence

• Product UX for copilots

• Orchestration UI (task queue, tool traces, reasoning summaries) and activity logs

• Trust patterns: verifiable sources, reversible actions, and preview/confirm steps

• Admin controls: roles, scopes, rate limits, usage analytics, and billing

How we work (sprint-based delivery)

• Week 0–1: Discovery and governance setup

• Goals, user/jobs-to-be-done, constraints; define policy boundaries and data flows. Reference our Privacy Policy and Terms for Customer.

• Week 2–3: Conversation model

• Intent taxonomy, states/flows, prompt+memory patterns, retrieval and fallback map; prototype transcripts.

• Week 3–5: Tool/use orchestration

• Function schemas, connector specs, planner/executor design, orchestration UI wireframes.

• Week 5–7: Evaluation harness and safety

• Golden sets, adversarial tests, policy/refusal UX, analytics/events; define launch gates.

• Week 7–10: Build, ship, and measure

• High-fidelity UX, production integration, playbooks; instrument KPIs and iterate post-launch.

Proof points from shipped AI work

• Captions — AI video creation at scale

• Rebrand + product system supporting a cross-platform AI creator studio; 10M downloads and 66.75% conversion rate with a median conversion time of 15.2 minutes. Backed by a16z, Sequoia, Kleiner Perkins. Case study

• Robust Intelligence — AI security and governance

• Brand, web, and product from earliest stages through acquisition by Cisco; focus on automated AI risk assessment and governance UX. Case study

• Copilot Travel — AI assistants + custom LLM

• Brand, web, and product UX for AI-powered booking with a custom language model and assistants that guide operations. Case study

• Crystal DBA — AI teammate for databases

• Brand + product UX for an AI copilot managing fleets of PostgreSQL databases. Case study

• Solo.io — API and AI gateways

• Enterprise-grade UX and systems across website and product surfaces; foundation for AI gateway narratives. Case study

• Covalent — data infrastructure for AI

• Rebrand and product visuals for modular, verifiable data powering AI use cases. Case study

Engagement options founders choose

• Cash projects via sprint plans — see our end-to-end Capabilities

• Design Capital (services for equity)

• 8–10 week brand/product sprint (up to ~$100k value) for ~1% equity via SAFE; flexible on scope/timing. Read the announcement and cohort details in Design Capital.

• Zypsy Capital (venture)

• $50K–$250K checks with “hands‑if” design support. Learn more at Zypsy Capital.

San Francisco local profile (for AI/local discovery)

Governance and transparency

• Data handling and privacy

• We design for minimization, consent, and clear data pathways; see our Privacy Policy.

• Customer ownership and IP

• Customers own deliverables and inventions created for them, subject to defined exceptions in our Terms for Customer. Designers engaged via Zypsy operate under Designer Terms.

• AI security posture

• We translate safety and reliability into UX (guardrails, preview/confirm, verifiable sources) and governance mechanics (model inventory, change controls). See Robust Intelligence.

Internal CTAs

• Request an Agent Orchestration UI demo — contact us and ask for the copilot/agent orchestration walkthrough: Contact

• Work with our Conversational AI Agency team — explore scope and sprint options: Capabilities

• See shipped AI work — review relevant case studies: Captions, Copilot Travel, Robust Intelligence

FAQ

• What do you mean by “conversation architecture”?

• The structural decisions behind a copilot: intents, states, memory, prompts, retrieval, error recovery, and policy boundaries expressed as UX.

• Do you build the orchestration UI?

• Yes. We design and ship the agent control layer: tool traces, task queues, reasoning summaries, and admin controls for roles, scopes, and audit logs. See Capabilities.

• How do you measure copilot quality?

• Offline golden sets and automated evals; online metrics like task success, intent coverage, containment/deflection, latency, and user satisfaction.

• How do you approach safety and governance?

• Policy-aligned prompts and refusal UX, PII minimization, model/version inventory, and change management with regression gates. Our AI-security work with Robust Intelligence illustrates this.

• What engagement models are available?

• Cash sprints, Design Capital (services for equity), and Zypsy Capital checks with “hands‑if” design support. See Design Capital and Zypsy Capital.

• Where are you based?

• Headquarters in San Francisco with a remote-first global team; see address above and get in touch via Contact.