Booking & Scheduling Agent
Checks calendar, books meetings, sends invites, handles reschedules — one agent, every booking workflow.
Tool-using agents built with function calling, guardrails, and multi-step reasoning — the kind that call your APIs to book meetings, update records, process orders, and complete real work.
Delivered in 2–3 weeks by a single specialist. Real actions, real logs, real guardrails.
The unlock isn't answers — it's actions. Here's what changes when the agent can actually complete the task.
Six deliverables that turn a good LLM into an agent that ships real work — with logs, guardrails, and fallbacks.
Every tool the agent needs — schemas, descriptions, examples — defined and tested for reliable function calling.
Task decomposition, planning, and iterative tool use — the agent keeps working until the goal is done, not just answered.
CRM, payment, booking, inventory, calendar, ERP — whatever the task needs, connected with proper auth and error handling.
Explicit rules on what the agent can do autonomously vs what needs human approval — trust engineered in from day one.
Every failure path handled: retry, ask for clarification, fall back to human — no silent breakdowns.
Every tool call logged with inputs, outputs, and reasoning — full audit trail plus observability dashboards.
Anywhere a human currently strings tools together — that's where an agent can string them together instead.
Checks calendar, books meetings, sends invites, handles reschedules — one agent, every booking workflow.
Logs calls, updates deal stages, creates follow-up tasks, and enriches contacts — the CRM finally stays current.
Processes orders, issues refunds, handles subscription changes — with approvals on high-value actions.
Prospect research, competitor teardowns, market briefs — pulled from live web + APIs, ready by morning.
'How many deals closed last quarter?' — agent queries the warehouse, runs the SQL, returns the answer.
Assembles weekly reports from tools, drafts summaries, and pushes to Slack — with attention flags on outliers.
Reads tickets, checks account state via API, applies the fix or escalates — not just replies.
Any domain — real estate lead ops, insurance quotes, logistics tracking — built to fit your specific workflow.
Built on the leading agentic AI frameworks — the ones production teams actually ship on.
The two most reliable tool-calling implementations — chosen per model strength, cost, and latency profile.
Stateful multi-agent graphs for complex reasoning — the framework production teams actually ship on.
A clean, secure layer between the agent and your internal APIs — auth, rate limiting, and logging built in.
When speed matters more than depth — 6,000+ pre-built connectors wired into the agent for fast MVPs.
Serverless tool endpoints deployed close to the agent — low latency, low cost, and easy to iterate.
LangSmith, Langfuse, or custom OpenTelemetry — every reasoning step, every tool call, every token traced.
Aggregate outcomes from recent agentic deployments.
The stack I ship on — configured properly, exportable, and yours forever.
Real feedback from real agentic deployments across ops, sales, and product teams.
"Deployed in under two weeks, handling 78% of inbound instantly. Support headcount stayed flat while revenue doubled."
"Fixed price, honest scope, and every credential in my name. Best AI money I've spent — no lock-in anywhere."
"Cited answers, not hallucinated ones. That single detail turned a 'nice-to-have' into a compliance-safe tool."
"One specialist, weekly Looms, no ticket queue. It felt like an in-house engineer for a fraction of the cost."
"Multilingual out of the box and integrated with our stack cleanly. Global support without hiring a global team."
Eight ownership-first deliverables — the whole agent stack, exported and yours forever.
A written scope agreed up front — no hourly billing, no surprise change orders halfway through.
Every tool definition, function schema, and reasoning prompt delivered to your repo — the whole agent is yours.
OpenAI, CRM, payment, calendar — all credentials sit in your accounts, controlled by you.
Every tool call is logged with inputs, outputs, and approvals — full audit trail plus editable guardrails.
Fully built, tested, and deployed to your environment — not a demo, not a Jupyter notebook prototype.
A recorded walkthrough of every component plus written docs so your team can run it without me.
Thirty days of tweaks, prompt tuning, and small revisions included — no ticket queue, direct message to me.
Every model, tool, and provider is swappable — no proprietary black boxes, no forced retainers.
A 45-minute call to map the highest-ROI agent for your business — what it should do, the data it needs, and how it integrates.
I design the agent — model selection, prompt strategy, tools, guardrails — and send a fixed-price scope with timeline.
I build the agent, connect it to your data and tools, and stress-test it against real scenarios and prompt-injection attempts.
We go live with monitoring in place, plus a Loom walkthrough, documentation, and 30 days of tuning included.
Not a wrapper-app shop. My practice is production tool-using agents — reasoning, calling, verifying, iterating.
Every agent writes to your systems — real work completed, not just recommended next steps.
Not four months. Focused tool agents ship inside three weeks — because the manual work compounds daily.
Sandboxed permissions, approval steps for high-stakes actions, and full logs — trust engineered, not assumed.
You message me directly. Every tool defined by the person you hired, every guardrail written by them too.
Every package is fixed-price and fixed-scope. No hourly billing, no mid-project surprises.
Three levels that scale from a single tool agent to a full multi-agent enterprise system.
Not sure which fits? Book a 20-minute call. I'll recommend the smallest scope that actually solves your bottleneck.
Everything in this build connects to the wider website, conversion, and AI stack I ship for clients.
The parent service — see the full range of custom AI agents I build.
Often combined — RAG feeds knowledge, tool-calling takes the action.
Workflow agents are tool-using agents built for internal ops processes.
For custom apps and internal APIs the agent needs to call.
One short email each week — proven tactics, AI workflows, and case-study breakdowns you can apply the same day.