Phoenix - Your AI AssistantBuild an AI agent prototype that actually gets measured
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6 days
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What you get with this Offer
Most AI agent ideas die in one of two places. Either the demo looks great but nobody worked out what 'working' should mean for the actual business, so it never makes it past the slide deck. Or someone builds a 'production' version that returns nonsense, because no one set up a way to measure whether it was getting better or worse.
What I'll do in 5 days is build you a working prototype of an AI agent for one specific process, with the evaluation harness in place from day one. You'll have something running that you can poke at, plus the numbers to decide whether it's worth taking to production.
The timeline of it:
- Day 1: scoping call + access setup, agree on what 'good' looks like
- Day 2-4: build the prototype in Python with whichever framework fits the job (LangChain, Claude/OpenAI direct, or something custom)
- Day 5: deploy to a sandbox you can actually use, eval on 10 test cases, walkthrough call
This is the "should we build the real thing?" version; not the "ship it to customers" version. If the prototype proves out, full production hardening is a separate conversation (and a separate price).
For context: 3+ years at Emeritus shipping product to a lot of users, then IntuigenceAI building AI agents' evaluation pipelines from scratch. Habituated by now to figure out what 'working' actually means before writing real code. Which I think is half the reason most agents you see floating around don't survive contact with real users.
What I'll do in 5 days is build you a working prototype of an AI agent for one specific process, with the evaluation harness in place from day one. You'll have something running that you can poke at, plus the numbers to decide whether it's worth taking to production.
The timeline of it:
- Day 1: scoping call + access setup, agree on what 'good' looks like
- Day 2-4: build the prototype in Python with whichever framework fits the job (LangChain, Claude/OpenAI direct, or something custom)
- Day 5: deploy to a sandbox you can actually use, eval on 10 test cases, walkthrough call
This is the "should we build the real thing?" version; not the "ship it to customers" version. If the prototype proves out, full production hardening is a separate conversation (and a separate price).
For context: 3+ years at Emeritus shipping product to a lot of users, then IntuigenceAI building AI agents' evaluation pipelines from scratch. Habituated by now to figure out what 'working' actually means before writing real code. Which I think is half the reason most agents you see floating around don't survive contact with real users.
What the Freelancer needs to start the work
A clear description of the one business process you want the prototype agent to handle, or a 15-minute intro call to scope it together. Access to any systems the agent needs to read or write to (Slack workspace, API keys, sample data, whatever's relevant). And 10-20 real examples of the task being done correctly, which become the evaluation test set.