We have a restaurant booking voice ai platform and have multiple integrations and multiple venues using it. I would like a Retell developer/Expert to review our set up and prompts/code to let us know how we can make our set up better. Is this possible - Do retell have developers/staff members that we can pay for this service?
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Hi Craig, we love to discuss your needs. Can we have your email so we can contact you directly?
@craig Hey, we can help with this. I run Agento AI, a certified Diamond-tier Retell partner.
Retell themselves don’t really do paid consulting engagements, they point this kind of thing at their certified partners. That’s us. A setup and prompt review is something we do regularly. With multi-venue especially, the usual wins are in prompt structure that scales across venues instead of forking per location, function call reliability on availability lookups, and clean fallback when a booking can’t complete.
Happy to jump on a Zoom and take a look. DM me.
Craig — one additional angle that may be useful given you’re already running this across multiple venues.
MARUPA approaches this as independent QA rather than another implementation review. We test the agent from the outside and verify whether the business outcome actually happened — reservation created correctly, correct venue/date/time, integrations updated as expected, and failures handled safely.
That means the same QA layer can remain useful regardless of who tunes or maintains the Retell implementation.
I can run a small QA Snapshot against one venue first and give you the findings before discussing anything larger.
Alberto
MARUPA — Independent Voice AI QA
Hi Craig — Ori from Spec Social here. Yes. I’d keep this low-risk by auditing one representative venue before anyone changes production.
I’d review the Retell agent and prompts, custom functions and integrations, booking or transfer paths, call logs, and five representative successful or failed calls. You’d get a prioritized issue register, recommended conversation-flow changes, tool and integration failure paths, and a QA acceptance plan for the first venue before anything is rolled across locations.
I’ve built and locally QA-tested two Retell front-desk implementations: one published and bound system that passed 65/65 local tests, and one paid pilot in predeployment that passed 32/32. That is implementation and QA proof, not a claim of restaurant production results.
I’d scope the first paid milestone at $750 for one representative agent and venue, up to three connected workflows, and five call reviews, delivered within three business days after access. No production changes in that milestone. If the findings justify remediation, I can quote the first venue separately with a rollback-ready acceptance test.
DM me if you’d like the exact read-access and call-sample checklist.
@craig I can review the current setup and turn the findings into a reproducible baseline rather than a prompt opinion.
For a multi-venue booking system, I would separate conversation behavior, availability reads, booking writes, fallback and human handoff, then convert the known failures into repeatable eval cases. The agent should not confirm a booking unless the system verifies the write.
Relevant proof: my production voice path reaches about 1.5 seconds warm time to first audio. The platform behind it has 76 edge functions and about 140 Postgres tables. Its release gates currently pass 4 of 4 unqualified lead cases, 3 of 3 abuse stops and 12 of 12 AI CRO eval suite.
I will not quote scope until I can see the current workflow and the failures you want reviewed. Message me read-only access if this is still open.
Stone
Hi — I’d approach this as an independent production review rather than rebuilding your agent.
Give me the current agent and one critical restaurant workflow, such as booking, order handling, transfer or POS handoff.
I’ll run five realistic scenarios, including failure/edge cases, and return a concise QA snapshot showing:
- what completed correctly
- where callers may abandon
- recovery/fallback issues
- transfer/tool-call failures
- whether the intended downstream outcome actually occurred
I’m happy to run the first five scenarios free so you can evaluate the findings before deciding whether you want deeper work.
Alberto
MARUPA — Independent Voice AI QA
@craig Retell staff generally don’t take paid consulting — they point this at specialists. I can review the setup you already have.
Damian Schaeffer — Natyv AI (natyv.ai). US, Eastern Time. Founder-led.
I’ll work on your existing Retell agent: review prompts/code, availability lookups, booking writes across venues, and the failure paths that confirm a reservation the system didn’t actually write. No rebuild unless the review says you need one.
Reply here or Damian@get-myagent.com if you want the review this month.
Craig, multi-venue reliability should be proven on one representative venue before any changes are rolled across the fleet. My first paid slice is a fixed $450 diagnostic: test five booking and failure paths, verify venue/date/time and downstream writes, inspect fallback and transfer behavior, and return a reproducible issue ledger plus the three highest-risk fixes in one business day. No production writes in this milestone. Is the review still open, and can you fund the diagnostic with one test venue and five calls? Email kalin.smolichki@gmail.com or DM here.
yes - i built MedVoq, a production voice AI used in Indian government hospitals, and this is exactly the kind of review i can do. i’d audit one venue end to end: prompts and functions, booking state, integrations, interruptions, fallback paths, and the gap between test calls and real callers.
you’d get a short prioritized fix list, not a generic Retell checklist. ayaankhan.cv