AI & Automation
AI Content Generation Systems without the six-month discovery phase.
We focus on marketing copy pipelines with tone and fact-check gates. Written scope, your stack, weekly demos — no account-manager layer.
The board slide says AI but ai content generation systems is blocking something else from shipping. We take a fixed window (2-3 weeks for first useful automation), integrate with Anthropic and pgvector, and demo progress every week.
Fine-tuning before retrieval is usually backwards for internal knowledge bases.
We won't replace your support team on day one — deflection comes in phases.
Who this is for
- -Founders who need ai content generation systems scoped before the next fundraise narrative.
- -Product leads adding ai content generation systems with evals — not demo-day features.
- -Support or ops managers automating repeat work via ai content generation systems.
- -Teams that tried a chatbot hackathon and need ai content generation systems in production.
Problems we solve
- -AI Content Generation Systems estimates balloon because acceptance criteria were never written.
- -A previous vendor shipped ai content generation systems that broke on edge cases in week two.
- -Your team lacks bandwidth to own ai content generation systems while shipping the core product.
- -Integrations around Anthropic are fragile and nobody owns on-call.
- -Stakeholders disagree on what "ai content generation systems done" means — so nothing ships.
What we deliver
- -Written scope for ai content generation systems 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 Anthropic and pgvector
How we work
- 1.Week 1: map current state, stack, and what "ai content generation systems" must change
- 2.Week 2: lock scope, acceptance tests, and cut lines
- 3.Weeks 3+: build in your repo with weekly demos
- 4.Final: launch, monitor, handoff docs
Why Futurebits
- -We won't replace your support team on day one — deflection comes in phases.
- -Typical window: 2-3 weeks for first useful automation — stated in writing before we start.
- -Weekly demos with written decisions — not status decks.
Frequently asked questions
Who on your team works on AI Content Generation Systems?
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 AI Content Generation Systems 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 Anthropic or pgvector 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 AI Content Generation Systems 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 AI Content Generation Systems priced?
Fixed scope for sprints (2-3 weeks for first useful automation). Broader work runs as a pod with weekly demos. We quote after a 30-minute scoping call.
Related services
AI SaaS Development
AI SaaS Development by Futurebits: AI features inside a SaaS product — not a separate demo app. One team from kickoff to launch — no hand-offs.
AI Product Development
AI Product Development by Futurebits: search, recommendations, or agents inside your existing product. Fixed window quoted after a 30-minute scoping call.
AI Workflow Automation
AI Workflow Automation by Futurebits: LLM steps in ops pipelines with human review where it matters. Ship in your stack with explicit cut lines up front.
Chatbot Development
Chatbot Development by Futurebits: website and support bots with escalation — not infinite intents. Direct access to the people doing the work.
SaaS Development
SaaS Development by Futurebits: billing, onboarding, and the first paid customer path. Ship in your stack with explicit cut lines up front.
MVP Development
MVP Development by Futurebits: one testable hypothesis — not a feature wish list. Acceptance tests signed before we call it done.
