Forward deployed engineering, answered plainly.

You need three things and only one of them is the assistant. An app registered with Slack, Teams or Google Chat and reviewed by them; a way to turn an incoming workspace id into the right customer with the right credentials, which must never be wrong once; and per-customer access to your own product, so the assistant answers as that customer rather than as you. Meetext provides the second and third and carries the message both ways, so what you build is the assistant. Your model, your prompt and your name on the bot, with nothing identifying Meetext to the person asking.

That is what the assistant bridge is for. You point a product at an endpoint you run, and questions asked in a customer's Slack, Teams or Google Chat arrive there with that customer's own credentials and capabilities attached. The parts that are identical for every customer after the first, resolving whose workspace a message came from, running the consent and token lifecycle, scoping access per customer and streaming a reply back without it looking broken, are the product rather than your next quarter.

No. A question is sent to your assistant with a stable thread reference, and your assistant keeps its own memory against that reference. The history is not sent to you by Meetext and is not stored by Meetext, which is a stronger statement than a retention policy: there is nothing held to retain. Capability arguments are audited by name and never by value for the same reason.

Two things. A message is answered only when the workspace it came from resolves to exactly one installation; an unknown workspace is ignored and so is an ambiguous one, rather than being resolved by picking the first match. And the access your assistant is given is a per-customer endpoint and token, scoped to a single customer environment, so a call made for one customer cannot list or reach another's capabilities.

An engineer who works inside a customer's environment to get a product running there: understanding their systems, configuring the integration, getting through security review, handling identity and permissions, proving it works and keeping it working. Solutions engineer, implementation engineer, customer engineer and post-sales engineer describe substantially the same job. It exists because enterprise software is sold as a product and delivered as a project, and somebody has to close that gap.

If you are asking because every enterprise customer needs weeks of engineering before they can use what they bought, a hire will solve it for the next two or three customers and then you will need another one. The work is roughly the same each time: the same OAuth flow, the same security questionnaire, the same validation, the same upgrade, against a different tenant. That part is a software problem. Hire for the judgement work, which is understanding what a customer actually needs, and make the repetition somebody else's infrastructure.

Forward deployed engineers are among the most expensive engineers to hire, because the role wants somebody who can write production code and sit in front of a customer's security team in the same week. The larger cost is usually the delay: revenue recognised months after a contract is signed, and senior engineering time spent on the fortieth repetition of a flow rather than on the product.

An agent that does the forward deployed engineering job: reading a customer's environment, planning a deployment, configuring it, diagnosing failures and repairing them. Nobody has finished building one. Meetext is not an AI FDE today and does not claim to be; it is the deployment control plane an AI FDE would have to operate through, because an agent reasoning over a pile of API responses will be confidently wrong, and one reasoning over an append-only deployment record with provenance on every inference can be checked.

No. A consultancy sells people and bills for their time, so a faster deployment is worse for them. Meetext is software priced per customer environment, so a faster deployment is the product working. There is also nobody to schedule: the repeatable parts run without a human, and the parts that still need judgement arrive with the context to make it quickly.

Connect your product to Meetext once, as an MCP server, an OpenAPI document or a repository. Choose which operations customers should get. Meetext generates the deployment package, produces a security review artifact, and gives you one installation link per customer. The customer's administrator approves it in their own workspace, Meetext runs the OAuth flow, stores the grant scoped to that one customer, executes a real capability to prove it works, and then monitors it.

No. An OpenAPI document works, and so does a repository. Meetext scans FastAPI, Flask, Django, Next.js and Express for routes and service functions. Whichever you connect normalises into the same internal capability format, so every destination behaves identically.

The parts Meetext owns take minutes: generating the package, issuing the link, running authorization, validating, and starting to monitor. What Meetext cannot compress is the customer's own calendar. If their administrator takes nine days to approve admin consent, the deployment takes nine days, and Meetext reports it as waiting on that administrator rather than as a failure or as your problem.

Rediscovery detects the difference and revokes approval for any capability whose contract changed, so an approved operation that quietly became a different operation cannot ship. Existing customer installations keep serving the package they were given: publishing a new version does not move an existing customer until somebody deliberately moves them.

Yes. The dashboard is a client of the same REST API you get, every operation of it, authenticated with an API key. Create products, connect sources, approve capabilities, create customer environments and trigger validations from your own pipeline.

Capability results pass through the hosted endpoint in memory to reach the destination. They are not stored. Execution is audited by argument name only and never by value, so Meetext records that a search happened and not what was searched for. Credentials live in a secret manager under a name scoped to a single customer environment and are never shared between two customers.

Meetext generates a review artifact for each customer naming the capabilities being exposed, the permission each one needs and why, where credentials live, and what data crosses which boundary. Every claim is tagged with who is standing behind it, so what Meetext observed is distinguishable from what your company asserted. Approval is recorded against the exact snapshot the customer saw, which means an approval cannot silently start covering whatever you published next.

Yours. Each vendor registers their own Slack app, Entra application, Connected App or equivalent, and those credentials are stored per deployment target. One shared application could not represent two companies to a security reviewer, so Meetext does not try.

Slack, Microsoft 365, Google Workspace, Salesforce, ServiceNow, Atlassian and HubSpot. All seven are in preview: the adapters are complete and covered end to end against provider simulators, and none has yet run against a real provider account. Meetext will not describe a destination as available until every part of the deployment lifecycle has actually run against the real provider, and a test refuses the claim without dated evidence.

A destination is seven interface methods and one registry line, and contract tests run against every registered adapter so a new one is held to the same standard as the existing ones. The honest constraint is not the code, it is that each destination is a real OAuth model, permission system and set of failure modes that has to be understood before it is worth shipping. Tell us which one and how many customers, and that is how the next one gets picked.

One customer, one product, one destination. It counts while it is installed. Disconnected environments do not count, and calling your capabilities more often never changes the bill.