Give your team back 5–15 hours a week. One ChatGPT agent, shipped in a week, for $1,000 flat.
I scope one repeatable workflow, wire the connectors, tune it against 30+ real examples from your data, and hand off the agent with a runbook your team can own. Built solo. No agency layer. No new SaaS. No lock-in.
20-min call. You leave with a recommended workflow and rough spec.
Lead Outreach Agent
Connectors: HubSpot · Gmail
What a typical build actually looks like
Three example agents, drawn from real production scopes. Specifics redacted; full runbooks shared on the call.
SDR opens a new inbound lead, spends 30+ minutes researching the company, the contact, recent news, and past CRM history before drafting a first-touch email.
Watches HubSpot for new inbound. Enriches contact context, checks for past deal history, drafts a personalized first email in the rep's Gmail drafts folder.
First-draft email is ready before the rep opens their inbox. Rep reviews, personalizes the opening, sends. ~30–45 min/day returned per rep.
Every ticket lands unsorted in #support. Senior CX reads each one to classify, route, and decide if a doc-grounded reply is possible — before any reply gets drafted.
Reads every new message in #support. Classifies intent, routes to the right owner, drafts a first-pass reply grounded in your help docs from Drive.
Median first-response under 5 minutes. The same team handles 2–3× ticket volume without adding headcount. Senior CX reviews drafts; nothing sends without their click.
AP staff opens each incoming invoice PDF, extracts line items by hand, compares against historical spend, flags anomalies, then keys clean entries into QuickBooks.
Watches the AP folder for new PDFs. Extracts line items, matches against vendor history, flags anomalies (vendor, amount, account-coding outliers), pushes a clean draft entry to QuickBooks for human approval.
AP review time cut ~70%. Outlier charges caught pre-payment instead of post-close. Human approval still required on every entry.
From spec to shipped agent
Real examples tested before go-live
Typical time returned per agent
Three reasons your team hasn't shipped an AI agent yet
Most teams underestimate connectors, guardrails, and prompt drift. Those are the parts that make the first live agent feel either effortless or immediately fragile.
You have 10 good candidates and no way to pick
Every ops, sales, and support team has a dozen workflows that could be automated. Without someone forcing a choice, 'we should try agents' sits on the quarterly-plan backlog for another six months. I pick the right first agent with you on the intro call — it's usually obvious inside 10 minutes.
Your team doesn't have a week to learn a brand-new OpenAI product
Workspace Agents, connectors, admin controls, Agent Mode quirks, credit-based billing — none of it is on this quarter's list. That's why I do the learning. You get the working result and a runbook your team can own.
The demo worked. Real data broke it.
An agent built in 3 hours on a Friday looks magical. It falls apart the first Monday 50 real tickets hit it. I build against 30+ real examples from your actual data, find the edge cases before you do, and ship with guardrails — so the Monday after handoff is the one where the agent starts paying for itself.
You're a fit if…
Narrow ICP on purpose. If two or more of these don't apply, the engagement won't pay back — better to know on Day 0.
You use ChatGPT Business or Enterprise
Workspace Agents aren't on Plus or Free. Edu and Teachers also work. If you're not sure which plan you have, I check in 30 seconds on the call.
Your workflow lives in connectable tools
HubSpot, Salesforce, Slack, Gmail, Drive, Notion, Linear, BigQuery, Snowflake, Zendesk, Microsoft 365 — all native connectors. Other tools usually bridge via Actions or Zapier.
You can share 20–30 real examples for tuning
Not synthetic data. Real tickets, real leads, real invoices, real meetings — the variety is what makes the agent work in production instead of in the demo.
You can name an internal owner on Day 1
Agents without a named owner decay quietly. The owner doesn't have to be technical — just someone who'll notice when the agent starts behaving weird in week 6.
- ChatGPT Plus or Free plans (wrong product)
- Microsoft Copilot Studio / Google Vertex / Bedrock (different stack, different consultant)
- Regulated workflows (HIPAA, PCI, audit working papers, privileged legal)
- Non-English / non-US-timezone work
Built for US teams on ChatGPT Business or Enterprise.
The ICP is narrow on purpose. Four segments where Workspace Agents pay back inside the first month — and where I’ve shipped the scopes before.
SDRs, AEs, and RevOps
Every new inbound lead researched, enriched, and first-email drafted before your rep opens their inbox. Meeting prep done automatically.
CX, support, and success
Every ticket triaged, routed, and drafted grounded in your docs. Median first-response drops under 5 minutes without adding heads.
Ops, finance, and analytics
Invoice reviews, monthly close, weekly metrics narratives, vendor tracking — the rote-but-important work that eats senior time.
Ship agents across client accounts or product lines
A standardized agent portfolio, same runbook, deployed across accounts. Productize internal ops instead of reinventing them quarterly.
Not seeing your team? See the full list by function, by industry, or take the 2-minute quiz.
I scope, build, test, and hand off the agent myself. Your intro call goes to me. Your spec is written by me. Your agent is built by me. No account managers, no juniors, no “let me get back to you.”
How I work →Six agents I can ship for you this week.
Each is a scope I've priced and built before. Your version runs on your data, in your workspace, with your admin's permissions.
Not sure which? Take the 2-min quiz →Lead Outreach Agent
Every new lead gets researched and a personalized first email drafted — before your rep opens their inbox. 30–45 min saved per rep per day.
Support Triage Agent
Every support message classified, routed, and drafted — grounded in your docs. Median first-response drops under 5 minutes; reps handle 2–3× the volume.
Weekly Metrics Reporter
Monday narrative of what moved, why, and what to do — pulled straight from your warehouse. 2–3 analyst hours saved every week.
Invoice & Expense Reviewer
AP team reviews the 5% of invoices that actually need attention. The agent handles the other 95% — duplicates, policy checks, and QBO entry.
Meeting Prep Agent
A one-page brief lands in every external meeting invite 30 min before start. Your reps stop opening LinkedIn on the way to the call.
RFP & Security Questionnaire Drafter
New RFP → full first draft grounded in your approved-answer library, in under an hour. Saves your SEs 8–16 hours per questionnaire.
How it works
One operator, one scoped workflow, one clean handoff. That’s how the timeline stays short.
Day 0 — 20-min scoping call
You describe one workflow your team does on repeat. I tell you if it's an agent-shaped problem. If it's not, I say so and point you elsewhere. Free, no obligation.
Day 1 — Written spec in your inbox
Trigger, data sources, decisions, outputs, success criteria — one page. You approve, redirect, or kill it. No invoice until we agree on what we're building.
Days 2–5 — I build
Inside your ChatGPT workspace, under your admin. I wire the connectors, write the prompt, and tune against 30+ real examples from your data. No consultants in your Slack.
Day 7 — Handoff
Loom walkthrough, written runbook, named owner on your team. I walk away with no access. The agent is yours and keeps running without me.
Security model
ChatGPT Business and Enterprise teams have a real security bar to clear. Here's exactly how I work inside it.
I build inside your workspace, under your admin
Not a sandbox. Not my account. The agent lives in your ChatGPT workspace from day one, on your plan, with your admin's permissions. No extra SaaS to procurement.
Least-privilege connector access
I only request the connector scopes the scoped workflow needs. If the agent reads from HubSpot Contacts, it doesn't get Companies. If it reads Drive folder X, it doesn't get all of Drive.
The Day-1 spec names every data path
Before any code: a written spec listing data sources, exact fields, write destinations, approval gates, and guardrails. Your admin signs off in writing before the build starts.
Human-in-the-loop on external writes
Any action that sends to a customer, posts externally, or writes to your system of record requires human approval for the first 4–6 weeks. Loosen the gate only after observed reliability.
Clean handoff. I revoke. You keep everything
On Day 7 my access is removed. The agent, the prompt, the connector configuration, the documentation, and the runbook are all yours. No lock-in. No recurring access.
Standard NDAs signed
Mutual NDA before the spec call if your legal team requires one. SOC 2 posture inherits from your ChatGPT Business or Enterprise plan; agent-specific controls are explicit, not implicit.
Pricing
One flat fee. One week. If the agent doesn't meet spec on Day 7, you don't pay the final invoice — and you still keep everything I built.
Best for: your first working agent. One scoped workflow, end-to-end, with a named owner and a real runbook. Most teams recoup the fee in the first month.
- 20-min scoping call + written spec within 24h
- 1 agent built end-to-end in 3–5 days
- 1 data connector wired and scoped
- Tuned against 30+ real examples from your data
- 1–2 revision rounds after review
- Handoff doc + Loom walkthrough
- 30 days of email support
- You own the agent. I walk away with no access.
Best for: teams who want an agent portfolio, not a one-off. Ship 5 agents a month and tune the existing ones — without adding a new hire or retainer renegotiation.
- Up to 5 agents built or tuned per month
- Ongoing support for every agent already shipped
- Async Slack or email within 1 business day
- Monthly agent-performance review
- Overages at $1,000 / agent
- 30-day cancellation — you keep every agent
Best for: multi-team orgs standardizing agents. 10 builds or tunes a month, quarterly portfolio review, and an admin-control audit so nothing slips through the cracks.
- Up to 10 agents built or tuned per month
- Same-business-day response
- Quarterly agent-portfolio review
- Admin-control + permissions audit
- Overages at $1,000 / agent
- 30-day cancellation — you keep every agent
all prices USD · 10% off on annual prepay · openai credit costs billed separately
Four commitments that decide whether this is worth your $1,000.
New operator, new OpenAI product, no 10-year case study library yet. So the way I build trust is by naming what I promise — in writing — before you wire anything.
If the agent doesn't meet spec, you don't pay the final invoice.
The Day-1 spec is your acceptance criteria. Miss it on Day 7 and I either fix it to spec on my time, or you keep the deposit as credit against a future build. You never pay $1,000 for something that doesn't work.
The agent lives in your workspace, under your admin.
I build inside your ChatGPT Business or Enterprise workspace. On Day 7 I walk away with no access. The prompt, the connectors, the runbook, the Loom walkthrough — all yours. No SaaS dependency, no retainer trap.
The person scoping is the person building is the person handing off.
No account managers, no juniors, no 'let me get back to you.' The intro call goes to me. The spec is written by me. The agent is built by me. The handoff is run by me. You get the same brain for all 7 days.
I only take work I can ship well.
US-timezone teams on ChatGPT Business or Enterprise. One scoped workflow at a time. If your use case is outside that — regulated data, non-English workflows, Microsoft Copilot Studio — I say so on Day 0 and point you elsewhere. You won't pay for a dead end.
Who builds this
I'm Ilia. I spent the last 3 years shipping AI features at a venture-backed startup — which means I've seen a lot of 'agents' look great in a demo and fall apart in production. I work solo, one client at a time, on scopes I can finish in a week. Your intro call goes to me. Your agent gets built by me. Your handoff comes from me. No account managers, no juniors, no 'let me get back to you.'
More about how I work →Solo by design
The person scoping the agent is the person wiring the connectors and tuning the prompt.
Opinionated delivery
I keep the scope narrow enough to ship quickly, then expand only after the first workflow works.
Handoff over lock-in
You keep the agent, the docs, and the operational context when I step back.
Questions
Everything worth reading before you ship an agent.
88 pages of pragmatic content. Skim the paths that map to your role and stack; the rest is here when you need it.
Operator-grade walk-throughs of the full Workspace Agents stack.
Sequencing, rollout, and expected ROI by function.
Honest head-to-head comparisons with the alternatives.
Plain-English writing for business leaders new to AI agents.
What shipped in Workspace Agents this week — and one operator tip.
No filler. Unsubscribe any time.
Tell me about one workflow.
20 minutes on a call. I'll tell you which workflow is your best first agent, what it would look like running, what it would save, and what it would cost — before you commit to anything. If I can't ship it well, I'll say so and point you where to go.
What team this is for and which tools hold the workflow today.
Where the process breaks or burns the most operator time.
Whether you are on ChatGPT Business, Enterprise, or still deciding.
If it’s a fit, I send a written spec within 24 hours. If it isn’t, I tell you what I’d do instead.