AI & Automation
Custom AI Tools that holds up under real users.
We focus on internal tools your team asks for in Slack every week. Written scope, your stack, weekly demos — no account-manager layer.
You tried a chatbot demo that custom ai tools — and the fix isn't another generic agency retainer. We scope to 4-6 weeks for customer-facing AI with evals, using OpenAI and Pinecone in your stack where it makes sense. Weekly demos and a written cut line for what ships now versus later.
Most chatbots should handle fewer intents, not more — breadth kills accuracy.
We won't ship AI features without a test set and human fallback.
Who this is for
- -Teams that tried a chatbot hackathon and need custom ai tools in production.
- -Founders who need custom ai tools scoped before the next fundraise narrative.
- -Product leads adding custom ai tools with evals — not demo-day features.
- -Support or ops managers automating repeat work via custom ai tools.
Problems we solve
- -Custom AI Tools estimates balloon because acceptance criteria were never written.
- -A previous vendor shipped custom ai tools that broke on edge cases in week two.
- -Your team lacks bandwidth to own custom ai tools while shipping the core product.
- -Integrations around OpenAI are fragile and nobody owns on-call.
- -Stakeholders disagree on what "custom ai tools done" means — so nothing ships.
What we deliver
- -Written scope for custom ai tools with explicit in/out of scope
- -Weekly demo — live or recorded — with decisions logged
- -Acceptance checklist signed before production launch
- -Runbook for the failure modes we expect in month one
- -Handoff doc so your team can maintain without us
- -Working implementation in your repo using OpenAI and Pinecone
How we work
- 1.Align: goals, constraints, and who signs off on custom ai tools
- 2.Cut: smallest version that proves value — write it down
- 3.Ship: incremental releases with review each week
- 4.Measure: check the metric we agreed on; iterate or close
Why Futurebits
- -Typical window: 4-6 weeks for customer-facing AI with evals — stated in writing before we start.
- -Weekly demos with written decisions — not status decks.
- -Stack-first: we start with OpenAI unless the audit says otherwise.
Frequently asked questions
Who on your team works on Custom AI Tools?
The same small team from kickoff to launch — not a rotating bench. You talk to the people writing code or design files.
What does the first week of Custom AI Tools look like?
Access, repo setup, and a written scope draft. No build until you sign off on cut lines and the metric we're targeting.
Do you work with our existing OpenAI or Pinecone setup?
Yes, when it's sane. We audit first and tell you if something needs replacing — we won't rip out working infra for sport.
What if we already started Custom AI Tools in-house?
We pick up from current state, document what's there, and focus on what's blocking launch — not a rewrite unless necessary.
How is Custom AI Tools priced?
Fixed scope for sprints (4-6 weeks for customer-facing AI with evals). Broader work runs as a pod with weekly demos. We quote after a 30-minute scoping call.
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MVP Development
MVP Development by Futurebits: one testable hypothesis — not a feature wish list. Acceptance tests signed before we call it done.